Dekorationsartikel gehören nicht zum Leistungsumfang.
Sprache:
Englisch
47,60 €*
Versandkostenfrei per Post / DHL
Lieferzeit 1-2 Wochen
Kategorien:
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.
What You Will Learn
- Understand Spark unified data processing platform
- How to run Spark in Spark Shell or Databricks
- Use and manipulate RDDs
- Deal with structured data using Spark SQL through its operations and advanced functions
- Build real-time applications using Spark Structured Streaming
- Develop intelligent applications with the Spark Machine Learning library
Who This Book Is For
Programmers and developers active in big data, Hadoop, and Java but who are new to the Apache Spark platform.
|A tutorial on the Apache Spark platform written by 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
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.
What You Will Learn
- Understand Spark unified data processing platform
- How to run Spark in Spark Shell or Databricks
- Use and manipulate RDDs
- Deal with structured data using Spark SQL through its operations and advanced functions
- Build real-time applications using Spark Structured Streaming
- Develop intelligent applications with the Spark Machine Learning library
Who This Book Is For
Programmers and developers active in big data, Hadoop, and Java but who are new to the Apache Spark platform.
|A tutorial on the Apache Spark platform written by 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
Details
Erscheinungsjahr: | 2018 |
---|---|
Medium: | Taschenbuch |
Inhalt: | Einband - flex.(Paperback) |
ISBN-13: | 9781484235782 |
ISBN-10: | 1484235789 |
Sprache: | Englisch |
Ausstattung / Beilage: | XI, 393 S., 86 s/w Illustr. |
Einband: | Kartoniert / Broschiert |
Autor: | Hien Luu |
Auflage: | 1. Auflage |
Hersteller: | Apress |
Verantwortliche Person für die EU: | preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de |
Abbildungen: | 86 schwarz-weiß Illustrationen |
Maße: | 254 x 178 x 21 mm |
Von/Mit: | Hien Luu |
Erscheinungsdatum: | 17.08.2018 |
Gewicht: | 0,773 kg |
Details
Erscheinungsjahr: | 2018 |
---|---|
Medium: | Taschenbuch |
Inhalt: | Einband - flex.(Paperback) |
ISBN-13: | 9781484235782 |
ISBN-10: | 1484235789 |
Sprache: | Englisch |
Ausstattung / Beilage: | XI, 393 S., 86 s/w Illustr. |
Einband: | Kartoniert / Broschiert |
Autor: | Hien Luu |
Auflage: | 1. Auflage |
Hersteller: | Apress |
Verantwortliche Person für die EU: | preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de |
Abbildungen: | 86 schwarz-weiß Illustrationen |
Maße: | 254 x 178 x 21 mm |
Von/Mit: | Hien Luu |
Erscheinungsdatum: | 17.08.2018 |
Gewicht: | 0,773 kg |
Sicherheitshinweis