Apache Spark 2.x for Java Developers:
bUnleash the data processing and analytics capability of Apache Spark with the language of choice: Java/bh2About This Book/h2ulliPerform big data processing with Spark- without having to learn Scala!/liliUse the Spark Java API to implement efficient enterprise-grade applications for data processing...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing Limited
2017
|
| Ausgabe: | 1 |
| Schlagworte: | |
| Zusammenfassung: | bUnleash the data processing and analytics capability of Apache Spark with the language of choice: Java/bh2About This Book/h2ulliPerform big data processing with Spark- without having to learn Scala!/liliUse the Spark Java API to implement efficient enterprise-grade applications for data processing and analytics/liliGo beyond mainstream data processing by adding querying capability, Machine Learning, and graph processing using Spark/li/ulh2Who This Book Is For/h2If you are a Java developer interested in learning to use the popular Apache Spark framework, this book is the resource you need to get started. Apache Spark developers who are looking to build enterprise-grade applications in Java will also find this book very useful.h2What You Will Learn/h2ulliProcess data using different file formats such as XML, JSON, CSV, and plain and delimited text, using the Spark core Library./liliPerform analytics on data from various data sources such as Kafka, and Flume using Spark Streaming Library/liliLearn SQL schema creation and the analysis of structured data using various SQL functions including Windowing functions in the Spark SQL Library/liliExplore Spark Mlib APIs while implementing Machine Learning techniques to solve real-world problems/liliGet to know Spark GraphX so you understand various graph-based analytics that can be performed with Spark/li/ulh2In Detail/h2Apache Spark is the buzzword in the big data industry right now, especially with the increasing need for real-time streaming and data processing. While Spark is built on Scala, the Spark Java API exposes all the Spark features available in the Scala version for Java developers. This book will show you how you can implement various functionalities of the Apache Spark framework in Java, without stepping out of your comfort zone.The book starts with an introduction to the Apache Spark 2.x ecosystem, followed by explaining how to install and configure Spark, and refreshes the Java concepts that will be useful to you when consuming Apache Spark's APIs. You will explore RDD and its associated common Action and Transformation Java APIs, set up a production-like clustered environment, and work with Spark SQL. |
| Beschreibung: | 1 Online-Ressource (350 Seiten) |
| ISBN: | 9781787129429 |
Internformat
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| 520 | |a bUnleash the data processing and analytics capability of Apache Spark with the language of choice: Java/bh2About This Book/h2ulliPerform big data processing with Spark- without having to learn Scala!/liliUse the Spark Java API to implement efficient enterprise-grade applications for data processing and analytics/liliGo beyond mainstream data processing by adding querying capability, Machine Learning, and graph processing using Spark/li/ulh2Who This Book Is For/h2If you are a Java developer interested in learning to use the popular Apache Spark framework, this book is the resource you need to get started. | ||
| 520 | |a Apache Spark developers who are looking to build enterprise-grade applications in Java will also find this book very useful.h2What You Will Learn/h2ulliProcess data using different file formats such as XML, JSON, CSV, and plain and delimited text, using the Spark core Library./liliPerform analytics on data from various data sources such as Kafka, and Flume using Spark Streaming Library/liliLearn SQL schema creation and the analysis of structured data using various SQL functions including Windowing functions in the Spark SQL Library/liliExplore Spark Mlib APIs while implementing Machine Learning techniques to solve real-world problems/liliGet to know Spark GraphX so you understand various graph-based analytics that can be performed with Spark/li/ulh2In Detail/h2Apache Spark is the buzzword in the big data industry right now, especially with the increasing need for real-time streaming and data processing. | ||
| 520 | |a While Spark is built on Scala, the Spark Java API exposes all the Spark features available in the Scala version for Java developers. This book will show you how you can implement various functionalities of the Apache Spark framework in Java, without stepping out of your comfort zone.The book starts with an introduction to the Apache Spark 2.x ecosystem, followed by explaining how to install and configure Spark, and refreshes the Java concepts that will be useful to you when consuming Apache Spark's APIs. You will explore RDD and its associated common Action and Transformation Java APIs, set up a production-like clustered environment, and work with Spark SQL. | ||
| 650 | 4 | |a COMPUTERS / Databases / Data Mining | |
| 650 | 4 | |a COMPUTERS / Data Modeling & | |
| 650 | 4 | |a Design | |
| 700 | 1 | |a Kumar, Sumit |e Sonstige |4 oth | |
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| id | DE-604.BV047070284 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:13:34Z |
| indexdate | 2024-07-10T09:01:45Z |
| institution | BVB |
| isbn | 9781787129429 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032477310 |
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| physical | 1 Online-Ressource (350 Seiten) |
| psigel | ZDB-5-WPSE |
| publishDate | 2017 |
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| spelling | Gulati, Sourav Verfasser aut Apache Spark 2.x for Java Developers Gulati, Sourav 1 Birmingham Packt Publishing Limited 2017 1 Online-Ressource (350 Seiten) txt rdacontent c rdamedia cr rdacarrier bUnleash the data processing and analytics capability of Apache Spark with the language of choice: Java/bh2About This Book/h2ulliPerform big data processing with Spark- without having to learn Scala!/liliUse the Spark Java API to implement efficient enterprise-grade applications for data processing and analytics/liliGo beyond mainstream data processing by adding querying capability, Machine Learning, and graph processing using Spark/li/ulh2Who This Book Is For/h2If you are a Java developer interested in learning to use the popular Apache Spark framework, this book is the resource you need to get started. Apache Spark developers who are looking to build enterprise-grade applications in Java will also find this book very useful.h2What You Will Learn/h2ulliProcess data using different file formats such as XML, JSON, CSV, and plain and delimited text, using the Spark core Library./liliPerform analytics on data from various data sources such as Kafka, and Flume using Spark Streaming Library/liliLearn SQL schema creation and the analysis of structured data using various SQL functions including Windowing functions in the Spark SQL Library/liliExplore Spark Mlib APIs while implementing Machine Learning techniques to solve real-world problems/liliGet to know Spark GraphX so you understand various graph-based analytics that can be performed with Spark/li/ulh2In Detail/h2Apache Spark is the buzzword in the big data industry right now, especially with the increasing need for real-time streaming and data processing. While Spark is built on Scala, the Spark Java API exposes all the Spark features available in the Scala version for Java developers. This book will show you how you can implement various functionalities of the Apache Spark framework in Java, without stepping out of your comfort zone.The book starts with an introduction to the Apache Spark 2.x ecosystem, followed by explaining how to install and configure Spark, and refreshes the Java concepts that will be useful to you when consuming Apache Spark's APIs. You will explore RDD and its associated common Action and Transformation Java APIs, set up a production-like clustered environment, and work with Spark SQL. COMPUTERS / Databases / Data Mining COMPUTERS / Data Modeling & Design Kumar, Sumit Sonstige oth |
| spellingShingle | Gulati, Sourav Apache Spark 2.x for Java Developers COMPUTERS / Databases / Data Mining COMPUTERS / Data Modeling & Design |
| title | Apache Spark 2.x for Java Developers |
| title_auth | Apache Spark 2.x for Java Developers |
| title_exact_search | Apache Spark 2.x for Java Developers |
| title_exact_search_txtP | Apache Spark 2.x for Java Developers |
| title_full | Apache Spark 2.x for Java Developers Gulati, Sourav |
| title_fullStr | Apache Spark 2.x for Java Developers Gulati, Sourav |
| title_full_unstemmed | Apache Spark 2.x for Java Developers Gulati, Sourav |
| title_short | Apache Spark 2.x for Java Developers |
| title_sort | apache spark 2 x for java developers |
| topic | COMPUTERS / Databases / Data Mining COMPUTERS / Data Modeling & Design |
| topic_facet | COMPUTERS / Databases / Data Mining COMPUTERS / Data Modeling & Design |
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