Scala and Spark for Big Data Analytics

Preface

The continued growth in data coupled with the need to make increasingly complex decisions against that data is creating massive hurdles that prevent organizations from deriving insights in a timely manner using traditional analytical approaches. The field of big data has become so related to these frameworks that its scope is defined by what these frameworks can handle. Whether you're scrutinizing the clickstream from millions of visitors to optimize online ad placements, or sifting through billions of transactions to identify signs of fraud, the need for advanced analytics, such as machine learning and graph processing, to automatically glean insights from enormous volumes of data is more evident than ever.

Apache Spark, the de facto ...