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PySpark

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Addison-Wesley Professional, 2018. — 320 p. — ISBN ISBN: 013484601X. Solve Data Analytics Problems with Spark, PySpark, and Related Open Source Tools. Spark 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...
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  • 17,52 МБ
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Addison-Wesley Professional, 2018. — 320 p. — ISBN ISBN: 013484601X. Solve Data Analytics Problems with Spark, PySpark, and Related Open Source Tools Spark 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...
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  • 19,77 МБ
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Packt Publishing, 2017. — 312 p. — ISBN 978-1-78646-370-8. Apache Spark is an open source framework for efficient cluster computing with a strong interface for data parallelism and fault tolerance. This book will show you how to leverage the power of Python and put it to use in the Spark ecosystem. You will start by getting a firm understanding of the Spark 2.0 architecture and...
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  • 10,16 МБ
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Packt Publishing, 2017. — 312 p. — ISBN 978-1-78646-370-8. Apache Spark is an open source framework for efficient cluster computing with a strong interface for data parallelism and fault tolerance. This book will show you how to leverage the power of Python and put it to use in the Spark ecosystem. You will start by getting a firm understanding of the Spark 2.0 architecture and...
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  • 11,50 МБ
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Packt Publishing, 2017. — 312 p. — ISBN 978-1-78646-370-8. — True PDF. Apache Spark is an open source framework for efficient cluster computing with a strong interface for data parallelism and fault tolerance. This book will show you how to leverage the power of Python and put it to use in the Spark ecosystem. You will start by getting a firm understanding of the Spark 2.0...
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  • 7,50 МБ
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Packt Publishing, 2018. — 330 p. - ISBN: 1788835360 Combine the power of Apache Spark and Python to build effective big data applications Apache Spark is an open source framework for efficient cluster computing with a strong interface for data parallelism and fault tolerance. The PySpark Cookbook presents effective and time-saving recipes for leveraging the power of Python and...
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  • 11,13 МБ
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Packt Publishing, 2018. — 330 p. Combine the power of Apache Spark and Python to build effective big data applications Apache Spark is an open source framework for efficient cluster computing with a strong interface for data parallelism and fault tolerance. The PySpark Cookbook presents effective and time-saving recipes for leveraging the power of Python and putting it to use in...
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  • 6,51 МБ
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Apress, 2019. — 323 р. — ISBN 978-1484243343. Carry out data analysis with PySpark SQL, graphframes, and graph data processing using a problem-solution approach. This book provides solutions to problems related to dataframes, data manipulation summarization, and exploratory analysis. You will improve your skills in graph data analysis using graphframes and see how to optimize your...
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  • 4,60 МБ
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Apress, 2019. — 323 р. — ISBN 978-1484243343. Carry out data analysis with PySpark SQL, graphframes, and graph data processing using a problem-solution approach. This book provides solutions to problems related to dataframes, data manipulation summarization, and exploratory analysis. You will improve your skills in graph data analysis using graphframes and see how to optimize your...
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  • 4,24 МБ
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Amazon Digital Services LLC, 2019. — 682 p. This book is about PySpark: Python API for Spark. Apache Spark is an analytics engine for large-scale data processing. Spark is the open source cluster computing system that makes data analytics fast to write and fast to run. This book provides a large set of recipes for implementing big data processing and analytics using Spark and...
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  • 12,80 МБ
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Apress, 2018. — 256 p. Quickly find solutions to common programming problems encountered while processing big data. Content is presented in the popular problem-solution format. Look up the programming problem that you want to solve. Read the solution. Apply the solution directly in your own code. Problem solved! PySpark Recipes covers Hadoop and its shortcomings. The architecture...
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  • 1,44 МБ
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Apress, 2018. — 256 p. Quickly find solutions to common programming problems encountered while processing big data. Content is presented in the popular problem-solution format. Look up the programming problem that you want to solve. Read the solution. Apply the solution directly in your own code. Problem solved! PySpark Recipes covers Hadoop and its shortcomings. The architecture...
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  • 6,38 МБ
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New York: Apress, 2019. — 214 p. Contents: Introduction History Data Collection Data Processing Spark Architecture Resource Management Structured Streaming Programming Language APIs Local Setup Databricks Conclusion Data Processing Creating Dataframes Null Values Subset of a Dataframe Select Filter Aggregations Collect User-Defined Functions (UDFs) Pandas UDF Joins Pivoting Window...
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  • 9,02 МБ
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Apress, 2019. — 223 p. — ISBN 1484241304. Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business challenges. This book starts with the fundamentals of Spark and its evolution and then covers the entire spectrum of traditional machine learning algorithms along with natural language processing and...
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  • 8,35 МБ
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Apress, 2019. — 223 p. — ISBN 1484241304. Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business challenges. This book starts with the fundamentals of Spark and its evolution and then covers the entire spectrum of traditional machine learning algorithms along with natural language processing and...
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  • 7,05 МБ
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Apress, 2019. — 230 p. — ISBN: 978-1-4842-4130-4. Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business challenges. This book starts with the fundamentals of Spark and its evolution and then covers the entire spectrum of traditional machine learning algorithms along with natural language processing...
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  • 3,26 МБ
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Apress, 2019. — 230 p. — ISBN: 978-1-4842-4130-4. Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business challenges. This book starts with the fundamentals of Spark and its evolution and then covers the entire spectrum of traditional machine learning algorithms along with natural language processing...
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  • 8,32 МБ
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Apress, 2019. — 230 p. — ISBN: 978-1-4842-4130-4. Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business challenges. This book starts with the fundamentals of Spark and its evolution and then covers the entire spectrum of traditional machine learning algorithms along with natural language processing...
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  • 8,38 МБ
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