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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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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 Cookbook
, Spark 2.x delivers notable improvements in the areas of API, schema awareness, Performance, Structured Streaming, and simplifying building;
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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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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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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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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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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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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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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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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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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
capabilities in the form of Spark SQL, Spark Streaming, Spark ML and Graph X all accessible via Java, Scala, Python and R. Deploying the key;
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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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Mastering Machine Learning on AWS
Gain expertise in ML techniques with AWS to create interactive apps using SageMaker, Apache Spark, and TensorFlow. Key Features Build;
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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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Einde inhoud
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