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Mastering Spark for Data Science

book is for those who have beginner-level familiarity with the Spark architecture and data science applications, especially those who are;

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Practical Data Science with Hadoop and Spark

essentials of data science and the modern Hadoop ecosystem, explaining how Hadoop and Spark have evolved into an effective platform for solving data;

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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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Spark for Data Science

with sample code snippets Who This Book Is For This book is for anyone who wants to leverage Apache Spark for data science and machine;

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Optimizing Databricks Workloads

Efficiently manage Spark clusters for big data processing Book DescriptionDatabricks is an industry-leading, cloud-based platform for data;

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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 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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Fast Data Processing with Spark 2 - Third Edition

Learn how to use Spark to process big data at speed and scale for sharper analytics. Put the principles into practice for faster, slicker;

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Spark in Action

. Apache Spark is a big data processing framework perfect for analyzing near-real-time streams and discovering historical patterns in batched;

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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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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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Scala and Spark for Big Data Analytics

analysis with Spark Who This Book Is For Anyone who wishes to learn how to perform data analysis by harnessing the power of Spark will find;

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Learning Spark

using MLflow Use open source Pandas framework Koalas and Spark for data transformation and feature engineering;

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Modern Data Engineering with Apache Spark

workloads and even near real-time processing of streaming data. Spark fits well as a central foundation for any data engineering workload. This book;

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Spark in Action, Second Edition

The Spark distributed data processing platform provides an easy-to-implement tool for ingesting, streaming, and processing data from any;

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Mastering Apache Spark 2.x -

parameter settings affect overall performance of an Apache Spark cluster * Leverage Scala, R and python for your data science projects In Detail;

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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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Hands-On Data Science with R

with Spark and Hadoop for large-scale data analytics Who this book is forIf you are a budding data scientist keen to learn about the popular;

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

over 15 real-world examples teaching you Big Data processing with Spark Who This Book Is For If you are a data scientist or data analyst who;

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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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Apache Spark 2.x for Java Developers

data processing with Spark-without having to learn Scala! * Use the Spark Java API to implement efficient enterprise-grade applications for;

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Learning Apache Spark 2

analytics and its importance for organizations and data professionals * Delve into Spark to see how it is different from existing processing;

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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 2

and use-cases of Apache Spark 2.x, this Learning Path is ideal for you. Big data professionals who want to learn how to integrate and use the;

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Apache Spark 2.x Cookbook

This book is for data engineers, data scientists, and those who want to implement Spark for real-time data processing. Anyone who is using;

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Scala Data Analysis Cookbook

cluster, EC2, YARN, and Mesos. Finally dip into the powerful options presented by Spark Streaming, and machine learning for streaming data, as;

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PySpark Cookbook

efficiently combining Python and Apache Spark to process data Book DescriptionApache Spark is an open source framework for efficient cluster computing;

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