Read Data Analytics with Spark Using Python (Addison-Wesley Data & Analytics Series)

Data Analytics with Spark Using Python (Addison-Wesley Data & Analytics Series)

Jeffrey Aven

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Description:Solve Data Analytics Problems with Spark, PySpark, and Related Open Source ToolsSpark is at the heart of today's Big Data revolution, helping data professionals supercharge efficiency and performance in a wide range of data processing and analytics tasks. In this guide, Big Data expert Jeffrey Aven covers all you need to know to leverage Spark, together with its extensions, subprojects, and wider ecosystem.Aven combines a language-agnostic introduction to foundational Spark concepts with extensive programming examples utilizing the popular and intuitive PySpark development environment. This guide's focus on Python makes it widely accessible to large audiences of data professionals, analysts, and developers--even those with little Hadoop or Spark experience.Aven's broad coverage ranges from basic to advanced Spark programming, and Spark SQL to machine learning. You'll learn how to efficiently manage all forms of data with streaming, structured, semi-structured, and unstructured. Throughout, concise topic overviews quickly get you up to speed, and extensive hands-on exercises prepare you to solve real problems.Coverage - Understand Spark's evolving role in the Big Data and Hadoop ecosystems- Create Spark clusters using various deployment modes- Control and optimize the operation of Spark clusters and applications- Master Spark Core RDD API programming techniques- Extend, accelerate, and optimize Spark routines with advanced API platform constructs, including shared variables, RDD storage, and partitioning- Efficiently integrate Spark with both SQL and nonrelational data stores- Perform stream processing and messaging with Spark Streaming and Apache Kafka- Implement predictive modeling with SparkR and Spark MLlibWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Data Analytics with Spark Using Python (Addison-Wesley Data & Analytics Series). To get started finding Data Analytics with Spark Using Python (Addison-Wesley Data & Analytics Series), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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ISBN: 0134844874

Description: Solve Data Analytics Problems with Spark, PySpark, and Related Open Source ToolsSpark is at the heart of today's Big Data revolution, helping data professionals supercharge efficiency and performance in a wide range of data processing and analytics tasks. In this guide, Big Data expert Jeffrey Aven covers all you need to know to leverage Spark, together with its extensions, subprojects, and wider ecosystem.Aven combines a language-agnostic introduction to foundational Spark concepts with extensive programming examples utilizing the popular and intuitive PySpark development environment. This guide's focus on Python makes it widely accessible to large audiences of data professionals, analysts, and developers--even those with little Hadoop or Spark experience.Aven's broad coverage ranges from basic to advanced Spark programming, and Spark SQL to machine learning. You'll learn how to efficiently manage all forms of data with streaming, structured, semi-structured, and unstructured. Throughout, concise topic overviews quickly get you up to speed, and extensive hands-on exercises prepare you to solve real problems.Coverage - Understand Spark's evolving role in the Big Data and Hadoop ecosystems- Create Spark clusters using various deployment modes- Control and optimize the operation of Spark clusters and applications- Master Spark Core RDD API programming techniques- Extend, accelerate, and optimize Spark routines with advanced API platform constructs, including shared variables, RDD storage, and partitioning- Efficiently integrate Spark with both SQL and nonrelational data stores- Perform stream processing and messaging with Spark Streaming and Apache Kafka- Implement predictive modeling with SparkR and Spark MLlibWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Data Analytics with Spark Using Python (Addison-Wesley Data & Analytics Series). To get started finding Data Analytics with Spark Using Python (Addison-Wesley Data & Analytics Series), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Data Analytics with Spark Using Python (Addison-Wesley Data & Analytics Series)

Data Analytics with Spark Using Python (Addison-Wesley Data & Analytics Series)

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