Beginning Apache Spark 2
With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library
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Beschreibung
Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it.
Along the way, you’ll discover resilient distributed datasets (RDDs); use Spark SQL for structured data; and learn stream processing and build real-time applications with Spark Structured Streaming. Furthermore, you’ll learn the fundamentals of Spark ML for machine learning and much more.
After you read this book, you will have the fundamentals to become proficient in using Apache Spark and know when and how to apply it to your big data applications.
You will:
- Understand Spark unified data processing platform
- Use and manipulate RDDs
- Deal with structured data using Spark SQL
- Build real-time applications using Spark Structured Streaming
- Develop intelligent applications with the Spark Machine Learning library
A tutorial on the Apache Spark platform written by expert engineer and trainer using and teaching SparkOne of the very first books on the new Apache Spark 2.1 Apache Spark is the leading alternative to Hadoop
A tutorial on the Apache Spark platform written by an expert engineer and trainer using and teaching Spark One of the very first books on the new Apache Spark 2.1 Apache Spark is the leading alternative to Hadoop
Autor*in
Hien Luu
Themen in »Beginning Apache Spark 2«
Big Data Apache Spark Spark No SQL HDFS MapReduce Scala Spark Data Frames Hadoop