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Inhaltsangabe
Summary
Spark in Action teaches you the theory and skills you need to effectively handle batch and streaming data using Spark. Fully updated for Spark 2.0.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the Technology
Big data systems distribute datasets across clusters of machines, making it a challenge to efficiently query, stream, and interpret them. Spark can help. It is a processing system designed specifically for distributed data. It provides easy-to-use interfaces, along with the performance you need for production-quality analytics and machine learning. Spark 2 also adds improved programming APIs, better performance, and countless other upgrades.
About the Book
Spark in Action teaches you the theory and skills you need to effectively handle batch and streaming data using Spark. You'll get comfortable with the Spark CLI as you work through a few introductory examples. Then, you'll start programming Spark using its core APIs. Along the way, you'll work with structured data using Spark SQL, process near-real-time streaming data, apply machine learning algorithms, and munge graph data using Spark GraphX. For a zero-effort startup, you can download the preconfigured virtual machine ready for you to try the book's code.
What's Inside
- Updated for Spark 2.0
- Real-life case studies
- Spark DevOps with Docker
- Examples in Scala, and online in Java and Python
About the Reader
Written for experienced programmers with some background in big data or machine learning.
About the Authors
Petar Zečević and Marko Bonaći are seasoned developers heavily involved in the Spark community.
Table of Contents
- Introduction to Apache Spark
- Spark fundamentals
- Writing Spark applications
- The Spark API in depth
- Sparkling queries with Spark SQL
- Ingesting data with Spark Streaming
- Getting smart with MLlib
- ML: classification and clustering
- Connecting the dots with GraphX
- Running Spark
- Running on a Spark standalone cluster
- Running on YARN and Mesos
- Case study: real-time dashboard
- Deep learning on Spark with H2O
PART 1 - FIRST STEPS
PART 2 - MEET THE SPARK FAMILY
PART 3 - SPARK OPS
PART 4 - BRINGING IT TOGETHER
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Über die Autorin bzw. den Autor
Petar Zecevic is a CTO at SV Group. During the last 14 years he has worked on various projects as a Java developer, team leader, consultant and software specialist. He is the founder and, with Marko, organizer of popular Spark@Zg meetup group.
Marko Bonaci has worked with Java for 13 years. He works Sematext as a Spark developer and consultant. Before that, he was team lead for SV Group's IBM Enterprise Content Management team.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
- VerlagManning
- Erscheinungsdatum2016
- ISBN 10 1617292605
- ISBN 13 9781617292606
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten472
- Kontakt zum HerstellerNicht verfügbar
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Spark in Action
Verlag:
Manning Publications Co. LLC, 2016
ISBN 10: 1617292605
ISBN 13: 9781617292606
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Spark in Action
Verlag:
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ISBN 10: 1617292605
ISBN 13: 9781617292606
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Taschenbuch. Zustand: Neu. Neuware - SummarySpark in Action teaches you the theory and skills you need to effectively handle batch and streaming data using Spark. Fully updated for Spark 2.0.Purchase of the print book includes a free Elektronisches Buch in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyBig data systems distribute datasets across clusters of machines, making it a challenge to efficiently query, stream, and interpret them. Spark can help. It is a processing system designed specifically for distributed data. It provides easy-to-use interfaces, along with the performance you need for production-quality analytics and machine learning. Spark 2 also adds improved programming APIs, better performance, and countless other upgrades.About the BookSpark in Action teaches you the theory and skills you need to effectively handle batch and streaming data using Spark. You'll get comfortable with the Spark CLI as you work through a few introductory examples. Then, you'll start programming Spark using its core APIs. Along the way, you'll work with structured data using Spark SQL, process near-real-time streaming data, apply machine learning algorithms, and munge graph data using Spark GraphX. For a zero-effort startup, you can download the preconfigured virtual machine ready for you to try the book's code. What's InsideUpdated for Spark 2.0Real-life case studiesSpark DevOps with DockerExamples in Scala, and online in Java and PythonAbout the ReaderWritten for experienced programmers with some background in big data or machine learning. About the AuthorsPetar Zecevic and Marko Bonaci are seasoned developers heavily involved in the Spark community.Table of ContentsPART 1 - FIRST STEPSIntroduction to Apache Spark Spark fundamentals Writing Spark applicationsThe Spark API in depth PART 2 - MEET THE SPARK FAMILY Sparkling queries with Spark SQL Ingesting data with Spark Streaming Getting smart with MLlib ML: classification and clustering Connecting the dots with GraphX PART 3 - SPARK OPSRunning Spark Running on a Spark standalone cluster Running on YARN and MesosPART 4 - BRINGING IT TOGETHERCase study: real-time dashboard Deep learning on Spark with H2O. Artikel-Nr. 9781617292606
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