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Found 240 results

  1. Apache Spark with Python - Big Data with PySpark and Spark MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours 18M | 1.15 GB Genre: eLearning | Language: English This course covers all the fundamentals of Apache Spark with Python and teaches you everything you need to know about developing Spark applications using PySpark, the Python API for Spark. At the end of this course, you will gain in-depth knowledge about Apache Spark and general big data analysis and manipulations skills to help your company to adopt Apache Spark for building big data processing pipeline and data analytics applications. This course covers 10+ hands-on big data examples. You will learn valuable knowledge about how to frame data analysis problems as Spark problems. Together we will learn examples such as aggregating NASA Apache weblogs from different sources; we will explore the price trend by looking at the real estate data in California; we will write Spark applications to find out the median salary of developers in different countries through the Stack Overflow survey data; we will develop a system to analyze how maker spaces are distributed across different regions in the United Kingdom. And much much more. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/0C73797742A66A1/alyjl.A.S.w.P.B.D.w.PS.a.S.part1.rar http://nitroflare.com/view/242E1CEBEBA76ED/alyjl.A.S.w.P.B.D.w.PS.a.S.part2.rar http://rapidgator.net/file/ff295c0041c502caca87a1584f475567/alyjl.A.S.w.P.B.D.w.PS.a.S.part1.rar.html http://rapidgator.net/file/67acd810d58054417683b61e49bfde1f/alyjl.A.S.w.P.B.D.w.PS.a.S.part2.rar.html http://turbobit.net/onvob9njnbkb/alyjl.A.S.w.P.B.D.w.PS.a.S.part1.rar.html http://turbobit.net/217xw9jtj2h3/alyjl.A.S.w.P.B.D.w.PS.a.S.part2.rar.html
  2. Apache Spark Hands on Specialization for Big Data Analytics .MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 128 kbps, 2 Ch | 9 hrs 52 mins | +.SRT, .VTT (EN) | 2.19 GB Instructor: Irfan Elahi In-depth course to master Apache Spark Development using Scala for Big Data (with 30+ real-world & hands-on examples) What if you could catapult your career in one of the most lucrative domains i.e. Big Data by learning the state of the art Hadoop technology (Apache Spark) which is considered mandatory in all of the current jobs in this industry? What if you could develop your skill-set in one of the most hottest Big Data technology i.e. Apache Spark by learning in one of the most comprehensive course out there packed with dozens of hands-on real world examples, use-cases, challenges and best-practices? What if you could learn from an instructor who is working in the world's largest consultancy firm, has worked, end-to-end, in Australia's biggest Big Data projects to date and who has a proven track record on Udemy with highly positive reviews and thousands of students already enrolled in his previous course(s)? If you have such aspirations and goals, then this course and you is a perfect match made in heaven! Why Apache Spark? Apache Spark has revolutionised and disrupted the way big data processing and machine learning were done by virtue of its unprecedented in-memory and optimised computational model. It has been unanimously hailed as the future of Big Data. It's the tool of choice all around the world which allows data scientists, engineers and developers to acquire and process data for a number of use-cases like scalable machine learning, stream processing and graph analytics to name a few. All of the leading organisations like Amazon, Ebay, Yahoo among many others have embraced this technology to address their Big Data processing requirements. Additionally, Gartner has repeatedly highlighted Apache Spark as a leader in Data Science platforms. Certification programs of Hadoop vendors like Cloudera and Hortonworks, which have high esteem in current industry, have oriented their curriculum to focus heavily on Apache Spark. Almost all of the jobs in Big Data and Machine Learning space demand proficiency in Apache Spark. This is what John Tripier, Alliances and Ecosystem Lead at Databricks has to say, "The adoption of Apache Spark by businesses large and small is growing at an incredible rate across a wide range of industries, and the demand for developers with certified expertise is quickly following suit". All of these facts correlate to the notion that learning this amazing technology will give you a strong competitive edge in your career. Why this course? Firstly, this is the most comprehensive and in-depth course ever produced on Apache Spark. I've carefully and critically surveyed all of the resources out there and almost all of them fail to cover this technology in the depth that it truly deserves. Some of them lack coverage of Apache Spark's theoretical concepts like its architecture and how it works in conjunction with Hadoop, some fall short in thoroughly describing how to use Apache Spark APIs optimally for complex big data problems, some ignore the hands-on aspects to demonstrate how to do Apache Spark programming to work on real-world use-cases and almost all of them don't cover the best practices in industry and the mistakes that many professionals make in field. This course addresses all of the limitations that's prevalent in the currently available courses. Apart from that, as I have attended trainings from leading Big Data vendors like Cloudera (for which they charge thousands of dollars), I've ensured that the course is aligned with the educational patterns and best practices followed in those training to ensure that you get the best and most effective learning experience. Each section of the course covers concepts in extensive detail and from scratch so that you won't find any challenges in learning even if you are new to this domain. Also, each section will have an accompanying assignment section where we will work together on a number of real-world challenges and use-cases employing real-world data-sets. The data-sets themselves will also belong to different niches ranging from retail, web server logs, telecommunication and some of them will also be from Kaggle (world's leading Data Science competition platform). The course leverages Scala instead of Python. Even though wherever possible, reference to Python development is also given but the course is majorly based on Scala. The decision was made based on a number of rational factors. Scala is the de-facto language for development in Apache Spark. Apache Spark itself is developed in Scala and as a result all of the new features are initially made available in Scala and then in other languages like Python. Additionally, there is significant performance difference when it comes to using Apache Spark with Scala compared to Python. Scala itself is one of the most highest paid programming languages and you will be developing strong skill in that language along the way as well. The course also has a number of quizzes to further test your skills. For further support, you can always ask questions to which you will get prompt response. I will also be sharing best practices and tips on regular basis with my students. What you are going to learn in this course? The course consists of majorly two sections: Section - 1: We'll start off with the introduction of Apache Spark and will understand its potential and business use-cases in the context of overall Hadoop ecosystem. We'll then focus on how Apache Spark actually works and will take a deep dive of the architectural components of Spark as its crucial for thorough understanding. Section - 2: After developing understanding of Spark architecture, we will move to the next section of this course where we will employ Scala language to use Apache Spark APIs to develop distributed computation programs. Please note that you don't need to have prior knowledge of Scala for this course as I will start with the very basics of Scala and as a result you will also be developing your skills in this one of the highest paying programming languages. In this section, We will comprehensively understand how spark performs distributed computation using abstractions like RDDs, what are the caveats in loading data in Apache Spark, what are the different ways to create RDDs and how to leverage parallelism and much more. Furthermore, as transformations and action constitute the gist of Apache Spark APIs thus its imperative to have sound understanding of these. Thus, we will then focus on a number of Spark transformations and Actions that are heavily being used in Industry and will go into detail of each. Each API usage will be complimented with a series of real-world examples and datasets e.g. retail, web server logs, customer churn and also from kaggle. Each section of the course will have a number of assignments where you will be able to practically apply the learned concepts to further consolidate your skills. A significant section of the course will also be dedicated to key value RDDs which form the basis of working optimally on a number of big data problems. In addition to covering the crux of Spark APIs, I will also highlight a number of valuable best practices based on my experience and exposure and will also intuit on mistakes that many people do in field. You will rarely such information anywhere else. Each topic will be covered in a lot of detail with strong emphasis on being hands-on thus ensuring that you learn Apache Spark in the best possible way. The course is applicable and valid for all versions of Spark i.e. 1.6 and 2.0. After completing this course, you will develop a strong foundation and extended skill-set to use Spark on complex big data processing tasks. Big data is one of the most lucractive career domains where data engineers claim salaries in high numbers. This course will also substantially help in your job interviews. Also, if you are looking to excel further in your big data career, by passing Hadoop certifications like of Cloudera and Hortonworks, this course will prove to be extremely helpful in that context as well. 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  3. Regression with Spark ML .MP4, AVC, 508 kbps, 1920x1080 | English, AAC, 235 kbps, 2 Ch | 1 hr 6 mins | 357 MB Instructor: Mark Tabladillo Regression is one of the most common techniques used in machine learning. Learn all about regression in Spark ML and how to build sophisticated ML models that utilize it. More Info http://www.wintellectnow.com/Videos/Watch?videoId=regression-with-spark-ml DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/5C1840F207AB7F5/vl3rr.R.w.S.ML.rar http://rapidgator.net/file/0e3048b916b007183885e4122cd9cf84/vl3rr.R.w.S.ML.rar.html http://turbobit.net/8xhbz6i7hvfs/vl3rr.R.w.S.ML.rar.html
  4. Recommendation with Spark ML .MP4, AVC, 478 kbps, 1920x1080 | English, AAC, 235 kbps, 2 Ch | 59 mins | 307 MB Instructor: Mark Tabladillo Learn how to use Spark ML and collaborative filtering to build recommender systems that derive their intelligence from machine learning. More Info http://www.wintellectnow.com/Videos/Watch?videoId=recommedation-with-spark-ml DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/E1FA3CD97165800/0r6cu.R.w.S.ML.rar http://rapidgator.net/file/a33a375cc180ca6c2ad0fcc02f09b7ec/0r6cu.R.w.S.ML.rar.html http://turbobit.net/e6tu131yodf9/0r6cu.R.w.S.ML.rar.html
  5. Apache Spark with Python - Big Data with PySpark and Spark MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours 18M | 1.15 GB Genre: eLearning | Language: English This course covers all the fundamentals of Apache Spark with Python and teaches you everything you need to know about developing Spark applications using PySpark, the Python API for Spark. At the end of this course, you will gain in-depth knowledge about Apache Spark and general big data analysis and manipulations skills to help your company to adopt Apache Spark for building big data processing pipeline and data analytics applications. This course covers 10+ hands-on big data examples. You will learn valuable knowledge about how to frame data analysis problems as Spark problems. Together we will learn examples such as aggregating NASA Apache weblogs from different sources; we will explore the price trend by looking at the real estate data in California; we will write Spark applications to find out the median salary of developers in different countries through the Stack Overflow survey data; we will develop a system to analyze how maker spaces are distributed across different regions in the United Kingdom. And much much more. Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live Uploadgig http://uploadgig.com/file/download/Da8D3e65f7a61dB9/h1377.Apache.Spark.with.Python..Big.Data.rar NitroFlare http://nitroflare.com/view/440637B49D85C75/h1377.Apache.Spark.with.Python..Big.Data.rar Rapidgator http://rapidgator.net/file/ea031147522318695685812a22048222/h1377.Apache.Spark.with.Python..Big.Data.rar.html
  6. Introduction to Spark .MP4, AVC, 354 kbps, 1920x1080 | English, AAC, 235 kbps, 2 Ch | 58 mins | 249 MB Instructor: Mark Tabladillo Apache Spark is widely used by researchers and data scientists to glean information from big data, and Microsoft Azure makes it extremely easy to deploy HPC clusters provisioned with Spark. In the introduction to this landmark series, Microsoft data scientist Mark Tabladillo introduces Spark on Azure and describes why Spark is the go-to tool for cutting-edge data exploration. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/0B084DE7397F9A0/fh6wa.I.t.S.rar http://rapidgator.net/file/74287de93c197fa6d1e5b77e35d37e38/fh6wa.I.t.S.rar.html http://turbobit.net/ll2dwen76oqa/fh6wa.I.t.S.rar.html
  7. Hadoop and Spark Fundamentals MP4 | Video: AVC 1280x720 | Audio: AAC 48KHz 2ch | Duration: 7 Hours 44M | 10.2 GB Genre: eLearning | Language: English The perfect (and fast) way to get started with Hadoop and Spark Hadoop and Spark Fundamentals LiveLessons provides 9+ hours of video introduction to the Apache Hadoop Big Data ecosystem. The tutorial includes background information and explains the core components of Hadoop, including Hadoop Distributed File Systems (HDFS), MapReduce, the YARN resource manager, and YARN Frameworks. In addition, it demonstrates how to use Hadoop at several levels, including the native Java interface, C++ pipes, and the universal streaming program interface. Examples include how to use benchmarks and high-level tools, including the Apache Pig scripting language, Apache Hive "SQL-like" interface, Apache Flume for streaming input, Apache Sqoop for import and export of relational data, and Apache Oozie for Hadoop workflow management. In addition, there is comprehensive coverage of Spark, PySpark, and the Zeppelin web-GUI. The steps for easily installing a working Hadoop/Spark system on a desktop/laptop and on a local stand-alone cluster using the powerful Ambari GUI are also included. All software used in these LiveLessons is open source and freely available for your use and experimentation. A bonus lesson includes a quick primer on the Linux command line as used with Hadoop and Spark. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/C19CFA0A82E8971/qdm28.H.a.S.F.P.O.part01.rar http://nitroflare.com/view/7F74E4A80B9D99D/qdm28.H.a.S.F.P.O.part02.rar http://nitroflare.com/view/F243A73AD4627BC/qdm28.H.a.S.F.P.O.part03.rar http://nitroflare.com/view/97AAF082335139A/qdm28.H.a.S.F.P.O.part04.rar http://nitroflare.com/view/412BDB2E5A9D5DF/qdm28.H.a.S.F.P.O.part05.rar http://nitroflare.com/view/CA86100706A6B54/qdm28.H.a.S.F.P.O.part06.rar http://nitroflare.com/view/C251E2329A86061/qdm28.H.a.S.F.P.O.part07.rar http://nitroflare.com/view/AB3DBCAFD7B7735/qdm28.H.a.S.F.P.O.part08.rar http://nitroflare.com/view/904B23D253C84C7/qdm28.H.a.S.F.P.O.part09.rar http://nitroflare.com/view/4B69D2AB14EAF82/qdm28.H.a.S.F.P.O.part10.rar http://nitroflare.com/view/66D440DC7B56BC9/qdm28.H.a.S.F.P.O.part11.rar http://rapidgator.net/file/51b9af188aec92a0d10454fc41ac9c22/qdm28.H.a.S.F.P.O.part01.rar.html http://rapidgator.net/file/ab57712b24e25a81b5840c0cd7d434de/qdm28.H.a.S.F.P.O.part02.rar.html http://rapidgator.net/file/018eef3683e7b91edaf80a2b16d6e5a8/qdm28.H.a.S.F.P.O.part03.rar.html http://rapidgator.net/file/26875c8cbb7db928bf379963e3c0772e/qdm28.H.a.S.F.P.O.part04.rar.html http://rapidgator.net/file/43f38372c71eae5439dc36d29779e608/qdm28.H.a.S.F.P.O.part05.rar.html http://rapidgator.net/file/5104c96a57e488d55008a81c23ebd43f/qdm28.H.a.S.F.P.O.part06.rar.html http://rapidgator.net/file/fef88722cb1aa922016eaed53b0abc76/qdm28.H.a.S.F.P.O.part07.rar.html http://rapidgator.net/file/ef95661936e16b2448d015f6d487b7db/qdm28.H.a.S.F.P.O.part08.rar.html http://rapidgator.net/file/5b209262e0b048425c25b3d7fa8792d9/qdm28.H.a.S.F.P.O.part09.rar.html http://rapidgator.net/file/6d7407bfddc5fa8d629813e7af6fec11/qdm28.H.a.S.F.P.O.part10.rar.html http://rapidgator.net/file/353881699925428d93076af70a7d233e/qdm28.H.a.S.F.P.O.part11.rar.html http://turbobit.net/r4g4e72d4y25/qdm28.H.a.S.F.P.O.part01.rar.html http://turbobit.net/4da6keb598cz/qdm28.H.a.S.F.P.O.part02.rar.html http://turbobit.net/2x96sxfbj5er/qdm28.H.a.S.F.P.O.part03.rar.html http://turbobit.net/kkgs2i8kiveo/qdm28.H.a.S.F.P.O.part04.rar.html http://turbobit.net/a66i6ehtv6hj/qdm28.H.a.S.F.P.O.part05.rar.html http://turbobit.net/i2kbnz6h1jer/qdm28.H.a.S.F.P.O.part06.rar.html http://turbobit.net/ftgiq6spuj33/qdm28.H.a.S.F.P.O.part07.rar.html http://turbobit.net/h7qgpd7yhmlz/qdm28.H.a.S.F.P.O.part08.rar.html http://turbobit.net/hqb7zfxj6o4d/qdm28.H.a.S.F.P.O.part09.rar.html http://turbobit.net/7p3haq2su3w3/qdm28.H.a.S.F.P.O.part10.rar.html http://turbobit.net/8qmwxv0khk57/qdm28.H.a.S.F.P.O.part11.rar.html
  8. CCA 175 - Spark and Hadoop Developer Certification - Scala MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 32 Hours | Lec: 160 | 5.50 GB Genre: eLearning | Language: English Cloudera Certified Associate Spark and Hadoop Developer using Scala as Programming Language CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark - Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification. 1 month lab access will be provided as part of the course. Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live Uploadgig http://uploadgig.com/file/download/b47cAdaD4C6d0599/mmft8.CCA.175..Spark.and.Hadoop.Developer.Certification..Scala.part1.rar http://uploadgig.com/file/download/8b2B699d291e9B4b/mmft8.CCA.175..Spark.and.Hadoop.Developer.Certification..Scala.part2.rar http://uploadgig.com/file/download/17a3119f8255048B/mmft8.CCA.175..Spark.and.Hadoop.Developer.Certification..Scala.part3.rar NitroFlare http://nitroflare.com/view/065C652795FC2BA/mmft8.CCA.175..Spark.and.Hadoop.Developer.Certification..Scala.part1.rar http://nitroflare.com/view/1A3CB45C3B90C07/mmft8.CCA.175..Spark.and.Hadoop.Developer.Certification..Scala.part2.rar http://nitroflare.com/view/A3A40E5C7BA460C/mmft8.CCA.175..Spark.and.Hadoop.Developer.Certification..Scala.part3.rar Rapidgator http://rapidgator.net/file/1700ba1e63439abe4111ccb68b3c82a7/mmft8.CCA.175..Spark.and.Hadoop.Developer.Certification..Scala.part1.rar.html http://rapidgator.net/file/eae28dbfbae3326f7451e53b60810e05/mmft8.CCA.175..Spark.and.Hadoop.Developer.Certification..Scala.part2.rar.html http://rapidgator.net/file/4d5b427fe71b30ec91854902830fa224/mmft8.CCA.175..Spark.and.Hadoop.Developer.Certification..Scala.part3.rar.html
  9. Apache Spark Hands on Specialization for Big Data Analytics .MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 128 kbps, 2 Ch | 9 hrs 52 mins | +.SRT, .VTT (EN) | 2.19 GB Instructor: Irfan Elahi In-depth course to master Apache Spark Development using Scala for Big Data (with 30+ real-world & hands-on examples) What if you could catapult your career in one of the most lucrative domains i.e. Big Data by learning the state of the art Hadoop technology (Apache Spark) which is considered mandatory in all of the current jobs in this industry? What if you could develop your skill-set in one of the most hottest Big Data technology i.e. Apache Spark by learning in one of the most comprehensive course out there packed with dozens of hands-on real world examples, use-cases, challenges and best-practices? What if you could learn from an instructor who is working in the world's largest consultancy firm, has worked, end-to-end, in Australia's biggest Big Data projects to date and who has a proven track record on Udemy with highly positive reviews and thousands of students already enrolled in his previous course(s)? If you have such aspirations and goals, then this course and you is a perfect match made in heaven! Why Apache Spark? Apache Spark has revolutionised and disrupted the way big data processing and machine learning were done by virtue of its unprecedented in-memory and optimised computational model. It has been unanimously hailed as the future of Big Data. It's the tool of choice all around the world which allows data scientists, engineers and developers to acquire and process data for a number of use-cases like scalable machine learning, stream processing and graph analytics to name a few. All of the leading organisations like Amazon, Ebay, Yahoo among many others have embraced this technology to address their Big Data processing requirements. Additionally, Gartner has repeatedly highlighted Apache Spark as a leader in Data Science platforms. Certification programs of Hadoop vendors like Cloudera and Hortonworks, which have high esteem in current industry, have oriented their curriculum to focus heavily on Apache Spark. Almost all of the jobs in Big Data and Machine Learning space demand proficiency in Apache Spark. This is what John Tripier, Alliances and Ecosystem Lead at Databricks has to say, "The adoption of Apache Spark by businesses large and small is growing at an incredible rate across a wide range of industries, and the demand for developers with certified expertise is quickly following suit". All of these facts correlate to the notion that learning this amazing technology will give you a strong competitive edge in your career. Why this course? Firstly, this is the most comprehensive and in-depth course ever produced on Apache Spark. I've carefully and critically surveyed all of the resources out there and almost all of them fail to cover this technology in the depth that it truly deserves. Some of them lack coverage of Apache Spark's theoretical concepts like its architecture and how it works in conjunction with Hadoop, some fall short in thoroughly describing how to use Apache Spark APIs optimally for complex big data problems, some ignore the hands-on aspects to demonstrate how to do Apache Spark programming to work on real-world use-cases and almost all of them don't cover the best practices in industry and the mistakes that many professionals make in field. This course addresses all of the limitations that's prevalent in the currently available courses. Apart from that, as I have attended trainings from leading Big Data vendors like Cloudera (for which they charge thousands of dollars), I've ensured that the course is aligned with the educational patterns and best practices followed in those training to ensure that you get the best and most effective learning experience. Each section of the course covers concepts in extensive detail and from scratch so that you won't find any challenges in learning even if you are new to this domain. Also, each section will have an accompanying assignment section where we will work together on a number of real-world challenges and use-cases employing real-world data-sets. The data-sets themselves will also belong to different niches ranging from retail, web server logs, telecommunication and some of them will also be from Kaggle (world's leading Data Science competition platform). The course leverages Scala instead of Python. Even though wherever possible, reference to Python development is also given but the course is majorly based on Scala. The decision was made based on a number of rational factors. Scala is the de-facto language for development in Apache Spark. Apache Spark itself is developed in Scala and as a result all of the new features are initially made available in Scala and then in other languages like Python. Additionally, there is significant performance difference when it comes to using Apache Spark with Scala compared to Python. Scala itself is one of the most highest paid programming languages and you will be developing strong skill in that language along the way as well. The course also has a number of quizzes to further test your skills. For further support, you can always ask questions to which you will get prompt response. I will also be sharing best practices and tips on regular basis with my students. What you are going to learn in this course? The course consists of majorly two sections: Section - 1: We'll start off with the introduction of Apache Spark and will understand its potential and business use-cases in the context of overall Hadoop ecosystem. We'll then focus on how Apache Spark actually works and will take a deep dive of the architectural components of Spark as its crucial for thorough understanding. Section - 2: After developing understanding of Spark architecture, we will move to the next section of this course where we will employ Scala language to use Apache Spark APIs to develop distributed computation programs. Please note that you don't need to have prior knowledge of Scala for this course as I will start with the very basics of Scala and as a result you will also be developing your skills in this one of the highest paying programming languages. In this section, We will comprehensively understand how spark performs distributed computation using abstractions like RDDs, what are the caveats in loading data in Apache Spark, what are the different ways to create RDDs and how to leverage parallelism and much more. Furthermore, as transformations and action constitute the gist of Apache Spark APIs thus its imperative to have sound understanding of these. Thus, we will then focus on a number of Spark transformations and Actions that are heavily being used in Industry and will go into detail of each. Each API usage will be complimented with a series of real-world examples and datasets e.g. retail, web server logs, customer churn and also from kaggle. Each section of the course will have a number of assignments where you will be able to practically apply the learned concepts to further consolidate your skills. A significant section of the course will also be dedicated to key value RDDs which form the basis of working optimally on a number of big data problems. In addition to covering the crux of Spark APIs, I will also highlight a number of valuable best practices based on my experience and exposure and will also intuit on mistakes that many people do in field. You will rarely such information anywhere else. Each topic will be covered in a lot of detail with strong emphasis on being hands-on thus ensuring that you learn Apache Spark in the best possible way. The course is applicable and valid for all versions of Spark i.e. 1.6 and 2.0. After completing this course, you will develop a strong foundation and extended skill-set to use Spark on complex big data processing tasks. Big data is one of the most lucractive career domains where data engineers claim salaries in high numbers. This course will also substantially help in your job interviews. Also, if you are looking to excel further in your big data career, by passing Hadoop certifications like of Cloudera and Hortonworks, this course will prove to be extremely helpful in that context as well. http://www.udemy.com/apache-spark-hands-on-course-big-data-analytics/ Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live Uploadgig http://uploadgig.com/file/download/1e32539fed5e1045/41wom.apache-spark-hands-on-course-big-data-analytics.rar NitroFlare http://nitroflare.com/view/BA4DEBE4460739F/41wom.apache-spark-hands-on-course-big-data-analytics.rar Rapidgator http://rapidgator.net/file/857fb7d7bd947e4730dacc6661414eb3/41wom.apache-spark-hands-on-course-big-data-analytics.rar.html
  10. Text Analytics with Spark ML .MP4, AVC, 490 kbps, 1920x1080 | English, AAC, 235 kbps, 2 Ch | 1 hr 5 mins | 344 MB Instructor: Mark Tabladillo Text analytics is a big part of AI and machine learning, and it is one of the areas in which Apache Spark excels. Learn how to use Spark ML to perform advanced text analytics using word parsing and conversion, and learn about companion technologies in Microsoft Cognitive Services. More Info http://www.wintellectnow.com/Videos/Watch?videoId=text-analytics-with-spark-ml DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/F16742A6BCDA6EB/hs6ws.T.A.w.S.ML.rar http://rapidgator.net/file/856b4ecd18eb92df259b92dfa48d0970/hs6ws.T.A.w.S.ML.rar.html http://turbobit.net/suusj391b2ih/hs6ws.T.A.w.S.ML.rar.html
  11. Big Data, Hadoop & Apache Spark: Analytics, Pig & MapReduce 4.5h | Video: AVC (.MP4) 1280x720 30fps | Audio: AAC 44.1KHz 2ch | 564 MB Genre: eLearning | Language: English Big data is data sets that are so voluminous and complex that traditional data processing application software are inadequate to deal with them. There are five dimensions to big data known as Volume, Variety, Velocity and the recently added Veracity and Value. Analysis of data sets can find new correlations to spot business trends, prevent diseases, combat crime and so on, but if you don't master business intelligence, you will miss the opportunity to give value to businesses. What if you could change that? My complete Big Data course will show you the exact techniques and strategies you need to design systems that manage big data, create scripts to process data, frame big data analysis problems and develop codes in Scala. You will get over 4 hours of video lectures and the freedom to ask me any questions regarding the course as you go through it. :) What Is In This Course? Your Big Data Skills Will Be Much Easier. Except if you're an expert at Big Data, reutilizing of the Hadoop framework comfortably, nesting big data using map reduce, configure Pig analysis based on NoSQL schema, do development of big data analysis codes, analyze relational data and perform Big data MapReduce operations on web application, you are going to lose many job/career opportunities or even miss working with big data. As what Atul Butte, a biotechnology entrepreneur in Silicon Valley, says "Hiding within those mounds of data is knowledge that could change the life of a patient, or change the world." You can try it with no financial risk. In This Big Data Training, You'll Learn: Design distributed systems of Big data Reutilizing of the Hadoop framework comfortably Relational development based on SQL performances Hadoop analytical applications system design Creating Hadoop analytical queries'(HDFS) Nesting big data using map reduce Managing clustering of data using sparks comfortably(YARN) learn how to create the running query to ensure flow part of the equation Configuring Pig analysis based on NoSQL schema Creating, dropping and Understanding Hadoop big data databases Constructing analytical Ooze Hadoop queries (Oozie) Arithmetic concept of designing MapReduce analysis using different tool Development of big data analysis codes Schematic archiving Big data systems (streaming) Analysis relational data Hadoop software connectivity and compatibility to the system(pigs) Analytical Hadoop system interface feature design (social networks) Publication of big data to your Hadoop cluster applications Performing Big data MapReduce operations on web application Algorithms website structures ------------------------------------------------------------------------------------------------------ Is This For You? Do you want to design systems that manage big data? Are you afraid of looking at big data? Do you think you will feel proud creating scripts to process data? Then this course will definitely help you. This course is essential to all software engineers, programmers, Data analysts, database administrators and anyone looking to become great at big data. I will show you precisely what to do to solve these situations with simple and easy techniques that anyone can apply. ------------------------------------------------------------------------------------------------------ Why To Master Big Data? Let Me Show You Why To Master Big Data: 1. You will design systems that manage big data. 2. You will create scripts to process data. 3. You will frame big data analysis problems. 4. You will develop codes in Scala. Thank you so much for taking the time to check out my course. You can be sure you're going to absolutely love it, and I can't wait to share my knowledge and experience with you inside it! Why wait any longer? Click the "Buy Now" button, and take my course 100% risk free now! What are the requirements? No Prior Knowledge Or Work Is Necessary To Take This Course. Pen And Paper For Precious Notes What am I going to get from this course? Design distributed systems of Big data Reutilizing Of The Hadoop Framework Comfortably Relational Development Based On SQL Performances Hadoop Analytical Applications System Design Creating Hadoop Analytical Queries'(HDFS) Nesting Big Data Using Map Reduce Managing Clustering Of Data Using Sparks Comfortably(YARN) Learn How To Create The Running Query To Ensure Flow Part Of The Equation Configuring Pig Analysis Based On Nosql Schema Creating, Dropping And Understanding Hadoop Big Data Databases Constructing Analytical Ooze Hadoop Queries (Oozie) Arithmetic Concept Of Designing Mapreduce Analysis Using Different Tool Development Of Big Data Analysis Codes Schematic Archiving Big Data Systems (Streaming) Analysis Relational Data Hadoop Software Connectivity And Compatibility To The System(Pigs) Analytical Hadoop System Interface Feature Design (Social Networks) Publication Of Big Data To Your Hadoop Cluster Applications Performing Big Data Mapreduce Operations On Web Application Algorithms Website Structures What is the target audience? All Software Engineers, Programmers, Data Analysts, Database Administrators Anyone Looking To Become Great At Big Data This Is Not For People Looking For Lazy Ways To Master Excel Macros Homepage http://www.udemy.com/big-data-hadoop-apache-spark-analytics-pig-mapreduce/ Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live Uploadgig http://uploadgig.com/file/download/0fb0d335CEdb0b7e/oevk3.Big.Data.Hadoop..Apache.Spark.Analytics.Pig..MapReduce.rar NitroFlare http://nitroflare.com/view/9E8AC81A4B2D7B8/oevk3.Big.Data.Hadoop..Apache.Spark.Analytics.Pig..MapReduce.rar Rapidgator http://rapidgator.net/file/cd3e8f455c10757dce777c0ce05dc23a/oevk3.Big.Data.Hadoop..Apache.Spark.Analytics.Pig..MapReduce.rar.html
  12. Spark Succinctly

    Spark Succinctly by Marko Svaljek English | March 5, 2018 | ASIN: B07B8L93PC | 111 Pages | PDF | 3 MB Mastering big data requires an aptitude at every step of information processing. Post-processing, one of the most important steps, is where you find Apache Spark frequently employed. Spark Succinctly, by Marko Svaljek, addresses Spark's use in the ultimate step in handling big data. This e-book, the third installment in Svaljek's IoT series, teaches the basics of using Spark and explores how to work with RDDs, Scala and Python tasks, JSON files, and Cassandra. Mastering big data requires an aptitude at every step of information processing. Post-processing, one of the most important steps, is where you find Apache Spark frequently employed. Spark Succinctly, by Marko Svaljek, addresses Spark's use in the ultimate step in handling big data. This e-book, the third installment in Svaljek's IoT series, teaches the basics of using Spark and explores how to work with RDDs, Scala and Python tasks, JSON files, and Cassandra. Many of the leading companies in the world today face the problem of big data. There are various definitions by various authors on what big data actually is. To be honest, it's a vague definition, and most of the authors in the field have their own. The scope of this book is too limited to go into discussions and explanations, but if you are a seasoned developer in the field, you probably have your own view of what big data is. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/311F82E5FDD73E3/b6dt7.S.S.rar http://rapidgator.net/file/c391d960a54a84507489717d567fa576/b6dt7.S.S.rar.html http://turbobit.net/6oe0a4bhzl8n/b6dt7.S.S.rar.html
  13. Classification with Spark ML MP4 | Video: AVC 1920x1080 | Audio: AAC 48KHz 2ch | Duration: 1.5 Hours | 468 MB Genre: eLearning | Language: English Spark ML provides several options for building machine-learning classification models, including logistic regression, decision trees, random forests, and naive Bayes. Learn how to build sophisticated classification models with Spark ML and about the different algorithms you can choose from. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/08AB26DD731C0B6/1fjsq.C.w.S.ML.rar http://rapidgator.net/file/376772fe443c6d4e572a91d3bd574381/1fjsq.C.w.S.ML.rar.html http://turbobit.net/x57bdaf0mg29/1fjsq.C.w.S.ML.rar.html
  14. Advanced Machine Learning with Spark 2.x MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 473 MB Genre: eLearning | Language: English The aim of this course is to provide a practical understanding of advanced Machine Learning algorithms in Apache Spark to make predictions and recommendation and derive insights from large distributed datasets. This course starts with an introduction to the key concepts and data types that are fundamental to understanding distributed data processing and Machine Learning with Spark. Further to this, we provide practical recipes that demonstrate some of the most popular algorithms in Spark, leading to the creation of sophisticated Machine Learning pipelines and applications. The final sections are dedicated to more advanced use cases for Machine Learning: streaming, Natural Language Processing, and Deep Learning. In each section, we briefly establish the theoretical basis of the topic under discussion and then cement our understanding with practical use cases. Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live Uploadgig http://uploadgig.com/file/download/b18c1784e58e78cd/uvqxz.Advanced.Machine.Learning.with.Spark.2.x.rar NitroFlare http://nitroflare.com/view/2CE4AE22D2B9AB5/uvqxz.Advanced.Machine.Learning.with.Spark.2.x.rar Rapidgator http://rapidgator.net/file/1f3244e94ead44e8ac1e17cbec1aca3a/uvqxz.Advanced.Machine.Learning.with.Spark.2.x.rar.html
  15. Apache Spark 2.x Machine Learning Cookbook: Over 100 recipes to simplify machine learning model implementations with Spark by Siamak Amirghodsi English | 22 Sept. 2017 | ISBN: 1783551607 | ASIN: B01BKL1PD8 | 666 Pages | AZW3 | 11.16 MB Simplify machine learning model implementations with Spark About This Book Solve the day-to-day problems of data science with Spark This unique cookbook consists of exciting and intuitive numerical recipes Optimize your work by acquiring, cleaning, analyzing, predicting, and visualizing your data Who This Book Is For This book is for Scala developers with a fairly good exposure to and understanding of machine learning techniques, but lack practical implementations with Spark. A solid knowledge of machine learning algorithms is assumed, as well as hands-on experience of implementing ML algorithms with Scala. However, you do not need to be acquainted with the Spark ML libraries and ecosystem. What You Will Learn Get to know how Scala and Spark go hand-in-hand for developers when developing ML systems with Spark Build a recommendation engine that scales with Spark Find out how to build unsupervised clustering systems to classify data in Spark Build machine learning systems with the Decision Tree and Ensemble models in Spark Deal with the curse of high-dimensionality in big data using Spark Implement Text analytics for Search Engines in Spark Streaming Machine Learning System implementation using Spark In Detail Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability, and optimization. Learning about algorithms enables a wide range of applications, from everyday tasks such as product recommendations and spam filtering to cutting edge applications such as self-driving cars and personalized medicine. You will gain hands-on experience of applying these principles using Apache Spark, a resilient cluster computing system well suited for large-scale machine learning tasks. This book begins with a quick overview of setting up the necessary IDEs to facilitate the execution of code examples that will be covered in various chapters. It also highlights some key issues developers face while working with machine learning algorithms on the Spark platform. We progress by uncovering the various Spark APIs and the implementation of ML algorithms with developing classification systems, recommendation engines, text analytics, clustering, and learning systems. Toward the final chapters, we'll focus on building high-end applications and explain various unsupervised methodologies and challenges to tackle when implementing with big data ML systems. Style and approach This book is packed with intuitive recipes supported with line-by-line explanations to help you understand how to optimize your work flow and resolve problems when working with complex data modeling tasks and predictive algorithms. This is a valuable resource for data scientists and those working on large scale data projects. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/28F06F0549C0F56/ck4r0.A.S.2.x.M.L.C.O.100.r.t.s.m.l.m.i.rar http://rapidgator.net/file/b582ff4cfbfe992621e83c5b7ffb80fa/ck4r0.A.S.2.x.M.L.C.O.100.r.t.s.m.l.m.i.rar.html http://turbobit.net/kobtnvmqg7np/ck4r0.A.S.2.x.M.L.C.O.100.r.t.s.m.l.m.i.rar.html
  16. Spark: The Definitive Guide: Big Data Processing Made Simple by Bill Chambers,? Matei Zaharia English | February 8th, 2018 | ASIN: B079P71JHY, ISBN: 1491912219 | 608 pages | EPUB | 7.53 MB Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. You'll explore the basic operations and common functions of Spark's structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Spark's scalable machine-learning library. * Get a gentle overview of big data and Spark * Learn about DataFrames, SQL, and Datasets-Spark's core APIs-through worked examples * Dive into Spark's low-level APIs, RDDs, and execution of SQL and DataFrames * Understand how Spark runs on a cluster * Debug, monitor, and tune Spark clusters and applications * Learn the power of Structured Streaming, Spark's stream-processing engine * Learn how you can apply MLlib to a variety of problems, including classification or recommendation DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/1DCC6656CC80FFF/pgtxo.S.T.D.G.B.D.P.M.S.rar http://rapidgator.net/file/28f47cb445ecef928b828f9464e53e3b/pgtxo.S.T.D.G.B.D.P.M.S.rar.html http://turbobit.net/mx16c19f549t/pgtxo.S.T.D.G.B.D.P.M.S.rar.html
  17. Data Processing with Spark 2 .MP4, AVC, 516 kbps, 1920x1080 | English, AAC, 235 kbps, 2 Ch | 48 mins | 261 MB Instructor: Mark Tabladillo Learn the basics of Spark programming in this demo-laden session that shows a variety of ways to submit PySpark code through Jupyter notebooks. Also learn about some of the IDEs supported by Apache Spark on Azure. More Info DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/F07C8FDB57D1D28/1fig0.D.P.w.S.2.rar http://rapidgator.net/file/7678e9443c0cc053b4003ea95aec7c58/1fig0.D.P.w.S.2.rar.html http://turbobit.net/nuw24y49agu7/1fig0.D.P.w.S.2.rar.html
  18. Art Almanac - February 2018 English | 164 pages | True PDF | 22.6 MB DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/E1BEDD8B32EDE2D/iw8z9.A.A.F.2018.rar http://rapidgator.net/file/883ab830c184a2b6bf1d21ccd02ecb8c/iw8z9.A.A.F.2018.rar.html http://turbobit.net/jxu9kg02fhfd/iw8z9.A.A.F.2018.rar.html
  19. VA - DJ Kicks Deetron (2018)

    VA - DJ Kicks Deetron (2018) MP3 CBR 320 kbps | 1:18:12 | 180 Mb Genre: Techno, House / Label: !K7 Track List: 01 Goodbye World / The Dreamer (Mixed) Carl Craig / GB 2:32 02 Love Lost (Mixed) Linkwood 0:48 03 Schoolbell / Treehouse (Mixed) Indian Ocean 1:52 04 Critize (Mixed) SBM 2:12 05 Waterfall (Deetron's DJ-Kicks Version) (Mixed) Mr. Fingers feat. Ovasoul 7 2:34 06 Song With Blue (Mixed) Roman Flugel 2:07 07 Plastikthai / Voyage (DJ Sotofett's Extended Mix) (Mixed) Burnt Friedmann / Dresvn 2:21 08 Swing Fantasy (Strange Attractor Mix) (Mixed) Spacetime Continuum 2:51 09 Linking Tunnel / The Plan (Mixed) Morgan Geist / Julie Dexter 1:49 10 Komt Goed (Mixed) Aardvarck 2:35 11 Sincerely (Creation Mix) (Mixed) Circulation 2:19 12 Let's Love (Mixed) DJ Koze 1:48 13 Morning Factory / Choose Me (Mixed) Ron Trent & Chez Damier / Deetron feat. Steve Spacek 2:58 14 Only (Ryan Elliott Remix) (Mixed) Nikola Gala 1:40 15 Moon Dance (Mixed) Keith Worthy 1:33 16 Thing 1 (Mixed) Paul W. Teebrooke 3:46 17 Children Of The E (KiNK SP1200 Remix) (Mixed) Radio Slave 2:33 18 Cry With The Stars (Accapella) (Mixed) Deetron feat. Jamie Lidell 1:49 19 Rework (Mixed) A Made Up Sound 1:32 20 Hotline Riddim (Jacques Renault Edit) (Mixed) HNNY 1:03 21 Kilode (Remix By Carl Craig) (Mixed) Tony Allen 5:40 22 Benzine Electronics (Mixed) Pepe 3:36 23 Flux (Mixed) Black Dog Productions 2:48 24 Untitled (Mixed) Deetron 1:17 25 All My Heart (Mixed) DJ Bone 2:33 26 Bissau (Pilooski Remix) (Mixed) Francis Bebey 2:00 27 Let The Church (Mixed) Floorplan 2:02 28 Seventh City (Filtered Dub) (Mixed) Terrace 1:30 29 Kaotic Harmony (Mixed) Derrick May 2:11 30 Flagged Up (Mark Ernestus Remix) (Mixed) Equiknoxx 3:59 31 Dreamer 6.1 (Mixed) DJ Bone 1:16 32 (Mixed) 2:08 33 Old Fashioned (Mixed) K-Lone 2:09 34 Strange Edition (Mixed) Jessy Lanza 2:21 DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/07A5353C3DEEAC2/d3c98.VA.DJ.K.D.2018.rar http://rapidgator.net/file/e772d778c489230dcb286dc8ac124edc/d3c98.VA.DJ.K.D.2018.rar.html http://turbobit.net/mzrkgjkd7omw/d3c98.VA.DJ.K.D.2018.rar.html
  20. Best Of Lennon & McCartney For Bass Guitar DVD5 | NTSC 4:3 (720x480) VBR | MPEG2 ~8366 kbps | English: AC3, 224 kb/s (2 ch) | 1Hour | 3.05 GB Genre: Guitar lessons A Step-by-Step Breakdown of the Bass Guitar Style of Paul McCartney. Learn the trademark bass lines behind rock's most influential songwriting duo. An in-depth analysis of eight songs. Songs include: All My Loving ~ Come Together ~ Day Tripper ~ Eight Days A Week ~ Hey Bulldog ~ I Want You ~ Nowhere Man ~ Paperback Writer. Bob Efford is a native of London, England, where he grew up in a musical family and graduated with honors from the London Academy of Music and Dramatic Art. He has toured, recorded, and performed with such renowned acts as The Platters, Burt Bacharach, Marvin Hamlish, Melissa Manchester, Phil Collins, The Nelson Riddle Orchestra, and The Los Angeles Philharmonic Orchestra. In addition to playing in his original group, The Gurus, Bob is a very active session player in the Los Angeles area, having performed dates for stage, film, and television including 'Murder, She Wrote' and 'Walker, Texas Ranger'. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/C06B886F2A6CD60/adkx0.B.O.L.MC.F.B.G.part1.rar http://nitroflare.com/view/426AE9A32A543D0/adkx0.B.O.L.MC.F.B.G.part2.rar http://nitroflare.com/view/2B69202F8CA12B5/adkx0.B.O.L.MC.F.B.G.part3.rar http://nitroflare.com/view/594F80CDD7BA97D/adkx0.B.O.L.MC.F.B.G.part4.rar http://rapidgator.net/file/76fa2efea17d774e838180ec597338f8/adkx0.B.O.L.MC.F.B.G.part1.rar.html http://rapidgator.net/file/18616e56339ce1c5f0c47b94b695705a/adkx0.B.O.L.MC.F.B.G.part2.rar.html http://rapidgator.net/file/52e3aec3ff10d5c078303f09dc781c1f/adkx0.B.O.L.MC.F.B.G.part3.rar.html http://rapidgator.net/file/e37966313f40e178b9440adf094b56f6/adkx0.B.O.L.MC.F.B.G.part4.rar.html http://turbobit.net/bhn1yzlkqwxj/adkx0.B.O.L.MC.F.B.G.part1.rar.html http://turbobit.net/d5ueb70mn1qr/adkx0.B.O.L.MC.F.B.G.part2.rar.html http://turbobit.net/iu5xaoy4unse/adkx0.B.O.L.MC.F.B.G.part3.rar.html http://turbobit.net/y2qyimblt11p/adkx0.B.O.L.MC.F.B.G.part4.rar.html
  21. Malwarebytes Premium 3.4.4.2398 DC 07.03.2018 Multilingual | File size: 68.1 MB Malwarebytes Anti-Malware is an antimalware application that can thoroughly remove even the most advanced malware. Malwarebytes products have a proven record of protecting computers by completely removing all forms of malware, including viruses, Trojans, spyware, adware and rootkits. Malwarebytes Premium detects and removes malware where even the best known anti-virus and anti-malware applications fail. It monitors every process and stops malicious processes before they even start. The Proactive Protection Module keeps your system safe and secure with advanced heuristic scanning technology. Malwarebytes 3.0 is the next-gen security program that protects you from the most advanced (zero-day) threats, making antivirus obsolete. Malwarebytes 3.0 combines all of our malware-fighting technology-anti-malware, anti-ransomware, anti-exploit, and malicious website protection into one program that scans 4x faster than previous versions of Malwarebytes Anti-Malware Premium. Malwarebytes 3 Premium Benefits: Protects you from advanced (zero-day) threats, including ransomware, so you can surf the Web without worry Removes all traces of malware for complete safety Removes potentially unwanted programs (PUPs) that make your computer run poorly Scans fast so you do not have to sit around and wait for your security to finish working Easy to use, just set it and forget it Can replace antivirus or run alongside other antivirus programs Malwarebytes Anti-Malware screenshotMalwarebytes advanced technology protects businesses from the constantly evolving threat that malware poses to corporate systems. From data loss to network corruption, undetected malware can decrease revenue and wreak havoc on your network. Malwarebytes provides maximum protection while using minimal resources, to keep your system focused on your business. Whats New : Performance/protective capability Improved remediation for shortcuts and tasks Added better handling for heavily infected systems to streamline detection & remediation Continued improvements to overall protection, detection and remediation Usability Added Notification Center for easy access to most recent real-time block notifications (NOTE: you will see this in dashboard header, but currently it won't display for first time until after a real-time block event has occurred) Added category to website blocked notification to show the reason why site was blocked Improved report design for better usability Added device name to My Account screen in preparation to sync with My Account portal Updated the API used to interact with Windows Action/Security Center Changed the 'Recover if missed by' setting for Scheduled Scans to be enabled by default for new scans Numerous other user interface and copy improvements Stability/issues fixed Fixed issue where files did not save properly with anti-ransomware enabled Fixed issue where notifications could stack so you might see multiple versions of same message Fixed issue where Beta opt in setting would not honor Restore Defaults Updated the 7-Zip library to the latest version, v.18.01 Improved upgrade process from earlier versions of Malwarebytes Continued improvements to driver operation and management Fixed several crashes, including a blue screen related to Web Protection Addressed other miscellaneous defects Homepage http://www.malwarebytes.com
  22. Adobe Premiere Pro CC 2018 v12.0.0.224 (x64) Multilingual Portable 180308 Adobe Premiere Pro CC 2018 v12.0.0.224 (x64) Multilingual Portable | 807.02 MB Languages: English, Italian, German, Spanish, French, Russian Bring your next big thing to screens everywhere. Turn raw footage into flawless productions with Premiere Pro CC, the industry-leading video editing software. Whether you're just starting out or a seasoned pro, you can edit, adjust color, refine audio, and more - all in one seamless, integrated workflow. Tell your story. Your way. Premiere Pro is used by filmmakers, YouTubers, videographers, designers - anyone with a story to tell, including you. Small-screen productions. Epic proportions. Whatever you set out to do, do it with the same app Hollywood pros use. Start a Vlog, go viral on YouTube, or become a go-to videographer. Import footage from any camera or phone, trim clips, add titles, and adjust audio. With intuitive tools and tons of step-by-step tutorials, you'll be producing great work in no time. Go big on the big screen. Working on your next masterpiece? Premiere Pro is the only non-linear editor that lets you have multiple projects open, while simultaneously collaborating on a single project with your team. Plus you can lock your projects so others can't change them. Workflows for color, graphics, audio, and immersive 360/VR take you from first edit to final credits faster than ever. Any camera. Any format. Work on footage in any format from 8K to virtual reality to smart phone. The industry's broadest native media support and powerful proxy workflows make it easy to start editing immediately on any computer - no matter where your footage came from. Plays well with others. Switch easily between Premiere Pro and After Effects. With Dynamic Link, you don't have to wait for rendering. Premiere Pro also works seamlessly with other Creative Cloud apps, including Photoshop, Illustrator, and Adobe Media Encoder. And with Team Projects, editors around the globe can collaborate freely, share securely, and more. Work on multiple projects at the same time Jump between episodes or scenes, edit and copy portions of one project into another, and more. Shared Projects with locking feature Teams in the same facility can access a single project simultaneously. For version control, you can lock projects when you're actively editing and give read-only access to other users. Responsive design that's more responsive than ever Now your motion graphics can automatically adapt to changes in time and in ratio or positioning so intros and outros are preserved and nothing goes out of frame. Immersive 360/VR video and audio editing Edit immersive VR the way it's viewed - wearing a VR head-mount. Add virtual reality effects and transitions without distortion. Edit 360/VR content using audio based on orientation. Operating System: Windows 7, Windows 8.1, Windows 10 Homepage - http://www.adobe.com Buy a premium to download file with fast speed thanks Rapidgator.net http://rapidgator.net/file/36e6a369739db5b916fd59acbb3b4d80/lucn6.Adobe.Premiere.Pro.CC.2018.v12.0.0.224.x64.Multilingual.Portable.rar.html alfafile.net http://alfafile.net/file/7V4i/lucn6.Adobe.Premiere.Pro.CC.2018.v12.0.0.224.x64.Multilingual.Portable.rar
  23. Renaissance Art in Venice: From Tradition to Individualism by Tom Nichols 2016 | ISBN: 1780678517 | English | 224 pages | PDF | 28 MB Art and architecture have always been central to Venice but in the Renaissance period, between c.1440 and 1600, they reached a kind of apotheosis when many of the city's new buildings, sculpture, and paintings took on distinctive and original qualities. The spread of Renaissance values provided leading artists such as Gentile and Giovanni Bellini, Giorgione, Palladio, Titian, and Tintoretto with a licence for artistic invention. This inventiveness however also needs to be understood in relation to the artists and artworks that still conformed to the more traditional, corporate, and public values of "Venetianness"' (Venezianita). By adopting a chronological approach, with each chapter covering a successive twenty-five year period, and focusing attention on the artists, Tom Nichols presents a vivid and easily navigable study of Venetian Renaissance art. Through close visual analyses of specific works from architecture to illuminated manuscripts, he puts the formative power of art back at the heart of this remarkable story. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/8EB73F839A1BD6F/e3xo6.R.A.i.V.F.T.t.I.rar http://rapidgator.net/file/25320fad76a0ed82edfd340479abbef5/e3xo6.R.A.i.V.F.T.t.I.rar.html http://turbobit.net/0v1uhum13iiu/e3xo6.R.A.i.V.F.T.t.I.rar.html
  24. From Paris to Tlon: Surrealism as World Literature (Literatures as World Literature) by Delia Ungureanu English | November 2, 2017 | ISBN: 1501333194, 150134109X | EPUB | 354 pages | 12.6 MB Surrealism began as a movement in poetry and visual art, but it turned out to have its widest impact worldwide in fiction-including in major world writers who denied any connection to surrealism at all. At the heart of this book are discoveries Delia Ungureanu has made in the archives of Harvard's Widener and Houghton libraries, where she has found that Jorge Luis Borges and Vladimir Nabokov were greatly indebted to surrealism for the creation of the pivotal characters who brought them world fame: Pierre Menard and Lolita. In From Paris to Tlon: Surrealism as World Literature, Ungureanu explores the networks of transmission and transformation that turned an avant-garde Parisian movement into a global literary phenomenon. From Paris to Tlon gives a fresh account of surrealism's surprising success, exploring the process of artistic transfer by which the surrealist object rapidly evolved from a purely poetic conception to a mainstay of surrealist visual art and then a key element in late modernist and postmodern fiction, from Borges and Nabokov to such disparate writers as Gabriel Garcia Marquez, Haruki Murakami, and Orhan Pamuk in the 21st century. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/19C8A5864F0275E/ysfxo.F.P.t.T.S.a.W.L.rar http://rapidgator.net/file/4d00d733462891924360cd036ee99bfa/ysfxo.F.P.t.T.S.a.W.L.rar.html http://turbobit.net/yawgy51tcfp5/ysfxo.F.P.t.T.S.a.W.L.rar.html
  25. Scalable programming with Scala and Spark MP4 | Video: AVC 1280x720 | Audio: AAC 48KHz 2ch | Duration: 9 Hours | 9.77 GB Genre: eLearning | Language: English Get your data to fly using Spark and Scala for analytics, machine learning, and data science. Let's parse that. What's Spark? If you are an analyst or a data scientist, you're used to having multiple systems for working with data. SQL, Python, R, Java, etc. With Spark, you have a single engine where you can explore and play with large amounts of data, run machine learning algorithms and then use the same system to productionize your code. Scala: Scala is a general-purpose programming language - like Java or C++. Its functional programming nature and the availability of a REPL environment make it particularly suited for a distributed computing framework like Spark. Analytics: Using Spark and Scala you can analyze and explore your data in an interactive environment with fast feedback. The course will show how to leverage the power of RDDs and Dataframes to manipulate data with ease. Machine Learning and Data Science: Spark's core functionality and built-in libraries make it easy to implement complex algorithms like Recommendations with very few lines of code. We'll cover a variety of datasets and algorithms including PageRank, MapReduce and Graph datasets. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/422A6120D086EB5/xegz7.S.P.w.S.a.S.part01.rar http://nitroflare.com/view/20E107D76F2CF63/xegz7.S.P.w.S.a.S.part02.rar http://nitroflare.com/view/A929E6A6131351D/xegz7.S.P.w.S.a.S.part03.rar http://nitroflare.com/view/1438D898425A19E/xegz7.S.P.w.S.a.S.part04.rar http://nitroflare.com/view/0FC5EDD24AA00DD/xegz7.S.P.w.S.a.S.part05.rar http://nitroflare.com/view/FE387FF681216CE/xegz7.S.P.w.S.a.S.part06.rar http://nitroflare.com/view/AFC1D2468573A23/xegz7.S.P.w.S.a.S.part07.rar http://nitroflare.com/view/33A684F9DFDBC3B/xegz7.S.P.w.S.a.S.part08.rar http://nitroflare.com/view/6B9A1E20B4E90CB/xegz7.S.P.w.S.a.S.part09.rar http://nitroflare.com/view/1DB3ABC007C2E80/xegz7.S.P.w.S.a.S.part10.rar http://rapidgator.net/file/9b9cc64176fed1be6bff7d6410030569/xegz7.S.P.w.S.a.S.part01.rar.html http://rapidgator.net/file/5efae577dcb10b88c08e200b41c6e82c/xegz7.S.P.w.S.a.S.part02.rar.html http://rapidgator.net/file/f769e5302266749a28b38dd354bbb2f1/xegz7.S.P.w.S.a.S.part03.rar.html http://rapidgator.net/file/8383bce6de823c9fe07893c775420341/xegz7.S.P.w.S.a.S.part04.rar.html http://rapidgator.net/file/2a30021f5a4b6deb65e5be45a0681c8e/xegz7.S.P.w.S.a.S.part05.rar.html http://rapidgator.net/file/5a02b0d756154d1b0d97a1b8af50f0c1/xegz7.S.P.w.S.a.S.part06.rar.html http://rapidgator.net/file/0e62bc9157c202ca3aeeea84a6bae79c/xegz7.S.P.w.S.a.S.part07.rar.html http://rapidgator.net/file/69d50a0189d4960fa9d12e2123ec1a38/xegz7.S.P.w.S.a.S.part08.rar.html http://rapidgator.net/file/22f7b0e1d57a7d940524eac0df625016/xegz7.S.P.w.S.a.S.part09.rar.html http://rapidgator.net/file/dd27c4923e9b94fd944af12e7fd5c66b/xegz7.S.P.w.S.a.S.part10.rar.html http://turbobit.net/iggi85ajs5de/xegz7.S.P.w.S.a.S.part01.rar.html http://turbobit.net/6v9zgvzr6zvi/xegz7.S.P.w.S.a.S.part02.rar.html http://turbobit.net/puger2kx6l59/xegz7.S.P.w.S.a.S.part03.rar.html http://turbobit.net/ko9dlwr1tj6p/xegz7.S.P.w.S.a.S.part04.rar.html http://turbobit.net/ms0fjlk3cjoy/xegz7.S.P.w.S.a.S.part05.rar.html http://turbobit.net/nibc2dvng0fg/xegz7.S.P.w.S.a.S.part06.rar.html http://turbobit.net/wt45qzms58i0/xegz7.S.P.w.S.a.S.part07.rar.html http://turbobit.net/tbryb7obz3pf/xegz7.S.P.w.S.a.S.part08.rar.html http://turbobit.net/ydy54jdp0i5g/xegz7.S.P.w.S.a.S.part09.rar.html http://turbobit.net/8hnmt3ghtxqp/xegz7.S.P.w.S.a.S.part10.rar.html