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Practical Apache Spark

of practical code snippets for each topic. Practical Apache Spark also covers the integration of Apache Spark with Kafka with examples. You'll follow a;

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Apache Spark 2.x for Java Developers

foundation in implementing components in the Spark framework in Java to build fast, real-time applications. Style and approach This practical;

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Beginning Apache Spark 3

learning applications using Spark MLlib and how to manage the machine learning development lifecycle. This book is packed with practical examples;

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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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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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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 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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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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Mastering Apache Spark 2.x -

of instructions and practical examples to extend the most up-to date Spark functionalities. * Extend your data processing capabilities to process huge;

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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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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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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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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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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 Application Architectures

components in the Hadoop ecosystem, this practical book takes you through architectural considerations necessary to tie those components together;

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PySpark Cookbook

Combine the power of Apache Spark and Python to build effective big data applications Key Features Perform effective data processing;

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Graph Algorithms Practical Examples in Apache Spark and Neo4j

learning models. With this practical guide, developers and data scientists will discover how graph analytics deliver value, whether they're used;

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Apache Spark Graph Processing

datasets. In Detail Apache Spark is the next standard of open-source cluster-computing engine for processing big data. Many practical;

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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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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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Practical Data Analysis -

A practical guide to obtaining, transforming, exploring, and analyzing data using Python, MongoDB, and Apache Spark About This Book;

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Next Generation Big Data

Utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments;

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