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Apache Spark Quick Start Guide

to help you get started with Apache Spark, but it also focuses on explaining the core concepts. This practical guide provides a quick start;

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Machine Learning with Apache Spark Quick Start Guide

technologies including Apache Spark to derive actionable insights from Big Data in real-time Key Features Make a hands-on start in the fields of Big;

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

Taming Big Data with Apache Spark and Python is your companion to learning Apache Spark in a hands-on manner. Frank will start you off by;

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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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Apache Spark 2.x for Java Developers

functionalities of the Apache Spark framework in Java, without stepping out of your comfort zone. The book starts with an introduction to the Apache;

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PySpark Cookbook

leveraging the power of Python and putting it to use in the Spark ecosystem. You'll start by learning the Apache Spark architecture and how to set up;

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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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Learning PySpark

efficient, scalable real-time Spark solutions * Take your understanding of using Spark with Python to the next level with this jump start guide;

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Beginning Apache Spark 2

Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable;

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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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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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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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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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Building Data Streaming Applications with Apache Kafka

streaming applications in Apache Kafka to process data streams of data * Master the core Kafka APIs to set up Apache Kafka clusters and start;

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Hands-On Deep Learning with Apache Spark

and the speed at which deep learning solutions can be implemented on Apache Spark. The book starts with the fundamentals of Apache Spark and;

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Apache Hadoop 3 Quick Start Guide

streaming using Apache Storm, and data analytics using Apache Spark. By the end of the book, you will be well versed with different configurations;

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Apache Spark 2.x Cookbook

Over 70 recipes to help you use Apache Spark as your single big data computing platform and master its libraries About This Book;

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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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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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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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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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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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Mastering Spark with R The Complete Guide to LargeScale Analysis and Modeling

of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large;

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