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Fast Data Processing with Spark 2 - Third Edition

big data projects. About This Book * A quick way to get started with Spark - and reap the rewards * From analytics to engineering your;

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Apache Spark 2

data processing Use ML and DL techniques with Spark MLlib and third-party tools Analyze structured and unstructured data using SparkSQL and;

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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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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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Spark in Action, Second Edition

source. In Spark in Action, Second Edition, you'll learn to take advantage of Spark's core features and incredible processing speed, with;

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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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Learning Spark

computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs;

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Spark in Action

teaches readers to use Spark for stream and batch data processing. It starts with an introduction to the Spark architecture and ecosystem;

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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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Fast Data Processing Systems with SMACK Stack

* Make on memory processing and data analysis with Spark to solve modern business demands * Build a powerful and effective cluster;

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Apache Spark 2.x Cookbook

Spark including Databricks Cloud notebook * Find out how to operate on data in Spark with schemas * Get to grips with real-time streaming;

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Optimizing Databricks Workloads

jobs and process your data more efficiently. What you will learn Get to grips with Spark fundamentals and the Databricks platform;

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Apache Spark for Data Science Cookbook

Over insightful 90 recipes to get lightning-fast analytics with Apache Spark About This Book * Use Apache Spark for data processing;

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Modern Data Engineering with Apache Spark

Simplify data transformation with Spark Pipelines and Spark SQL Bridge data engineering with machine learning Architect modular data pipeline;

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Pro Spark Streaming

data processing. DStreams enhance the underlying Spark processing engine to support streaming analysis with a novel micro-batch processing;

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Big Data Analytics with Spark

Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster;

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Beginning Apache Spark 3

efficient distributed data processing engine inside of Apache Spark; its user-friendly, comprehensive, and flexible programming model for processing;

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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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PySpark Cookbook

end of this book, you will be able to use the Python API for Apache Spark to solve any problems associated with building data-intensive;

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Apache Spark Quick Start Guide

Features Learn about the core concepts and the latest developments in Apache Spark Master writing efficient big data applications with Spark's;

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Real-Time Big Data Analytics

Design, process, and analyze large sets of complex data in real time About This Book * Get acquainted with transformations and;

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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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Next Generation Big Data

, Impala, and Spark to modernize enterprise data warehouse and business intelligence environments, complete with real-world, easy-to-follow;

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OpenStack Sahara Essentials

About This Book * A fast paced guide to help you utilize the benefits of Sahara in OpenStack to meet the Big Data world of Hadoop. * A step;

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Machine Learning with PySpark

challenges. This book starts with the fundamentals of Spark and its evolution and then covers the entire spectrum of traditional machine learning;

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Big Data Analytics with R

databases, * Explore fast, streaming, and scalable data analysis with the most cutting-edge technologies in the market Who This Book Is For;

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