Chapter 2: Building and Exploring Graphs; Network datasets; The communication network; Flavor networks; Social ego networks; Graph builders; The Graph factory method; edgeListFile; fromEdges; fromEdgeTuples; Building graphs; Building directed graphs; Building a bipartite graph; …
Build, process, and analyze large-scale graphs with Spark.
Chapter 2: Building and Exploring Graphs; Network datasets; The communication network; Flavor networks; Social ego networks; Graph builders; The Graph factory method; edgeListFile; fromEdges; fromEdgeTuples; Building graphs; Building directed graphs; Building a bipartite graph; …
Simplify machine learning model implementations with Spark About This Book Solve the day-to-day problems of data science with Spark This unique cookbook consists of exciting and intuitive numerical recipes Optimize your work by acquiring, cleaning, analyzing, predicting, and vis…
Over 70 recipes to help you use Apache Spark as your single big data computing platform and master its libraries About This Book This book contains recipes on how to use Apache Spark as a unified compute engine Cover how to connect various source systems to Apache Spark Covers v…
"Take a journey toward discovering, learning, and using Apache Spark 3.0. In this book, you will gain expertise on the powerful and efficient distributed data processing engine inside of Apache Spark; its user-friendly, comprehensive, and flexible programming model for processin…
Take a journey toward discovering, learning, and using Apache Spark 3.0. In this book, you will gain expertise on the powerful and efficient distributed data processing engine inside of Apache Spark; its user-friendly, comprehensive, and flexible programming model for processing…
"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