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 ma…
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 ma…
Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datase…
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 ma…
Understand the complexities of modern-day data engineering platforms and explore strategies to deal with them with the help of use case scenarios led by an industry expert in big data Key Features Become well-versed with the core concepts of Apache Spark and Delta Lake for build…
"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.
"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.
If you're like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with larg…
"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
"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
Introduction -- Graph theory and concepts -- Graph platforms and processing -- Pathfinding and graph search algorithms -- Centrality algorithms -- Community detection algorithms -- Graph algorithms in practice -- Using graph algorithms to enhance machine learning. Learn how gra…