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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 Data Science and Python Machine Learning

This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale;

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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 with Hadoop 3

effective big data analytics solutions on-premise and on cloud Integrate Hadoop with other big data tools such as R, Python, Apache Spark, and;

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Spark in Action

Working with big data can be complex and challenging, in part because of the multiple analysis frameworks and tools required;

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Apache Spark 2

processing system that provides a wide range of functionalities such as big data processing, analytics, machine learning, and more. With this;

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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 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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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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Processing Big Data with Azure HDInsight

Data with Azure HDInsight covers the fundamentals of big data, how businesses are using it to their advantage, and how Azure HDInsight fits;

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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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Spark for Data Science

Analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0 About This Book * Perform data;

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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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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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Hands-On Big Data Analytics with PySpark

create high-performance analytics with big data, but also discover techniques for testing, immunizing, and parallelizing Spark jobs. You will;

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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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Next Generation Big Data

for data wrangling and interactive data processing Turbocharge Spark with Alluxio, a distributed in-memory storage platform Deploy big data;

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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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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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Professional Spark

in production Spark works with other big data tools including MapReduce and Hadoop, and uses languages you already know like Java, Scala, Python, and R;

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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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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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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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Optimizing Databricks Workloads

optimizations for big data workloads and maximizing performance Build efficient big data engineering pipelines with Databricks and Delta Lake;

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Machine Learning with Spark and Python

Machine Learning with Spark and Python Essential Techniques for Predictive Analytics, Second Edition simplifies ML for practical uses by;

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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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