Spark GraphX in Action

Table of Contents

Copyright

Brief Table of Contents

Table of Contents

Preface

Acknowledgments

About this Book

About the Cover Illustration

1. Spark and graphs

Chapter 1. Two important technologies: Spark and graphs

1.1. Spark: the step beyond Hadoop MapReduce

1.1.1. The elusive definition of Big Data

1.1.2. Hadoop: the world before Spark

1.1.3. Spark: in-memory MapReduce processing

1.2. Graphs: finding meaning from relationships

1.2.1. Uses of graphs

1.2.2. Types of graph data

1.2.3. Plain RDBMS inadequate for graphs

1.3. Putting them together for lightning fast graph processing: Spark GraphX

1.3.1. Property graph: adding richness

1.3.2. Graph partitioning: graphs meet Big Data

1.3.3. GraphX lets you choose: graph parallel or data parallel ...