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portada Big Data Processing with Apache Spark
Type
Physical Book
Publisher
Language
English
Pages
106
Format
Paperback
Dimensions
22.9x15.2x0.6 cm
Weight
0.17 kg.
ISBN13
9781387659951

Big Data Processing with Apache Spark

Srini Penchikala (Author) · Lulu.com · Paperback

Big Data Processing with Apache Spark - Penchikala, Srini

New Book Imported to Taiwan
Delivery: 15 Oct - 23 Oct Shipping: 6 to 7 business days.
NT$ 828
NT$ 828

Synopsis "Big Data Processing with Apache Spark"

Apache Spark is a popular open-source big-data processing framework that's built around speed, ease of use, and unified distributed computing architecture. Not only it supports developing applications in different languages like Java, Scala, Python, and R, it's also hundred times faster in memory and ten times faster even when running on disk compared to traditional data processing frameworks. Whether you are currently working on a big data project or interested in learning more about topics like machine learning, streaming data processing, and graph data analytics, this book is for you. You can learn about Apache Spark and develop Spark programs for various use cases in big data analytics using the code examples provided. This book covers all the libraries in Spark ecosystem: Spark Core, Spark SQL, Spark Streaming, Spark ML, and Spark GraphX.

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