Catalog Search Results
Author
Pub. Date
2017.
Edition
Second edition.
Language
English
Description
The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by presenting examples and a set of self-contained patterns for performing large-scale data analysis with Spark. You'll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniques-classification, collaborative filtering, and anomaly detection among others-to fields such...
Author
Pub. Date
©2017.
Edition
First edition : June 2017.
Language
English
Description
"Apache Spark is amazing when everything clicks. But if you haven't seen the performance improvements you expected, or still don't feel confident enough to use Spark in production, this practical book is for you. Authors Holden Karau and Rachel Warren demonstrate performance optimizations to help your Spark queries run faster and handle larger data sizes, while using fewer resources. Ideal for software engineers, data engineers, developers, and system...
10) Learning Spark
Author
Pub. Date
[2015]
Edition
First edition.
Language
English
Description
This book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. You'll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning.--
14) Scala programming for big data analytics: get started with big data analytics using Apache Spark
Author
Pub. Date
[2019]
Language
English
Description
Gain the key language concepts and programming techniques of Scala in the context of big data analytics and Apache Spark. The book begins by introducing you to Scala and establishes a firm contextual understanding of why you should learn this language, how it stands in comparison to Java, and how Scala is related to Apache Spark for big data analytics. Next, youll set up the Scala environment ready for examining your first Scala programs. Youll start...
Author
Pub. Date
[2019]
Edition
First edition.
Language
English
Description
"Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to combine R with Spark to analyze data at scale. This book covers relevant data science topics, cluster computing, and issues that will interest even the most advanced users."-- Back cover.
Author
Pub. Date
2020.
Edition
Second edition.
Language
English
Description
Data is bigger, arrives faster, and comes in a variety of formats-- and it all needs to be processed at scale for analytics or machine learning. But how can you process such varied workloads efficiently? Enter Apache Spark. Updated to include Spark 3.0, this second edition shows data engineers and data scientists why structure and unification in Spark matters. Specifically, this book explains how to perform simple and complex data analytics and employ...
19) Practical data science with Hadoop and Spark: designing and building effective analytics at scale
Author
Pub. Date
[2017]
Language
English
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