Apache Spark Graph Processing by Rindra Ramamonjison (.ePUB)
File Size: 44 KB
Apache Spark Graph Processing by Rindra Ramamonjison
Requirements: .ePUB reader, 692,44 KB
Overview: Apache Spark is the next standard of open-source cluster-computing engine for processing big data. Many practical computing problems concern large graphs, like the Web graph and various social networks. The scale of these graphs – in some cases billions of vertices, trillions of edges – poses challenges to their efficient processing. Apache Spark GraphX API combines the advantages of both data-parallel and graph-parallel systems by efficiently expressing graph computation within the Spark data-parallel framework.
This book will teach the user to do graphical programming in Apache Spark, apart from an explanation of the entire process of graphical data analysis. You will journey through the creation of graphs, its uses, its exploration and analysis and finally will also cover the conversion of graph elements into graph structures.
Genre: Non-Fiction > Tech & Devices
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