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Apache Spark 2

to optimize your work by using many features of Spark 2.x and Scala Book DescriptionApache Spark is an in-memory, cluster-based data;

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Beginning Apache Spark 2

machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows;

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Mastering Apache Spark 2.x -

Advanced analytics on your Big Data with latest Apache Spark 2.x About This Book * An advanced guide with a combination;

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Apache Spark 2.x for Java Developers

Spark 2.x ecosystem, followed by explaining how to install and configure Spark, and refreshes the Java concepts that will be useful to you when;

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Apache Spark 2.x Cookbook

, Spark 2.x delivers notable improvements in the areas of API, schema awareness, Performance, Structured Streaming, and simplifying building;

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Modern Data Engineering with Apache Spark

Leverage Apache Spark within a modern data engineering ecosystem. This hands-on guide will teach you how to write fully functional;

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Practical Apache Spark

Work with Apache Spark using Scala to deploy and set up single-node, multi-node, and high-availability clusters. This book discusses;

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Frank Kane's Taming Big Data with Apache Spark and Python

Frank Kane's hands-on Spark training course, based on his bestselling Taming Big Data with Apache Spark and Python video, now available;

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Hands-On Deep Learning with Apache Spark

Speed up the design and implementation of deep learning solutions using Apache Spark Key Features Explore the world of distributed deep;

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PySpark Cookbook

you if you are a Python developer looking for hands-on recipes for using the Apache Spark 2.x ecosystem in the best possible way. A thorough;

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Beginning Apache Spark 3

Beginning;...

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Beginning Apache Spark 3

Take a journey toward discovering, learning, and using Apache Spark 3.0. In this book, you will gain expertise on the powerful and;

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Apache Spark Quick Start Guide

A practical guide for solving complex data processing challenges by applying the best optimizations techniques in Apache Spark. Key;

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Apache Spark Machine Learning Blueprints

Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide About This Book * Customize;

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Beginning Apache Spark Using Azure Databricks

Beginning-Intermediate user level;...

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Modern Data Engineering with Apache Spark

Intermediate-Advanced user level;...

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Beginning Apache Spark Using Azure Databricks

Analyze vast amounts of data in record time using Apache Spark with Databricks in the Cloud. Learn the fundamentals, and more, of running;

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Scala Programming for Big Data Analytics

Gain the key language concepts and programming techniques of Scala in the context of big data analytics and Apache Spark. The book begins;

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Big Data Analytics

A handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop;

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Learning Apache Spark 2

* Exclusive guide that covers how to get up and running with fast data processing using Apache Spark * Explore and exploit various possibilities with;

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Hadoop Real-World Solutions Cookbook

book provides recipes that are based on the latest versions of Apache Hadoop 2.X, YARN, Hive, Pig, Sqoop, Flume, Apache Spark, Mahout and many;

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Learning PySpark

Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0 About This Book;

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2 Apache

2 Apache;

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Spark GraphX in Action

difficult and computationally expensive to explore, query, and analyze. GraphX, a powerful graph processing API for the Apache Spark analytics;

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2 Apache

2 Apache is een boek van Lecureux;

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Apache Spark Graph Processing

Build, process and analyze large-scale graph data effectively with Spark About This Book * Find solutions for every stage of data;

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Hadoop Application Architectures

system Data processing frameworks, including MapReduce, Spark, and Hive Common Hadoop processing patterns, such as removing duplicate records and;

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