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Beginning Apache Spark 3
. Beginning Apache Spark 3 begins by explaining different ways of interacting with Apache Spark, such as Spark Concepts and Architecture, and Spark;
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Beginning Apache Spark Using Azure Databricks
Beginning-Intermediate user level;...
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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 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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Apache Spark 2.x for Java Developers
Unleash the data processing and analytics capability of Apache Spark with the language of choice: Java About This Book * Perform big;
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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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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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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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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 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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Modern Data Engineering with Apache Spark
Intermediate-Advanced user level;...
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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 with Hadoop 3
Explore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3 Key Features Learn Hadoop 3 to build;
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Mastering Apache Cassandra 3.x
Cassandra database with Apache Spark and build strong data analytics pipeline Book DescriptionWith ever-increasing rates of data creation, the;
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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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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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Apache Hadoop 3 Quick Start Guide
A fast paced guide that will help you learn about Apache Hadoop 3 and its ecosystem Key Features Set up, configure and get started with;
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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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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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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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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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