Apache Spark 2.x for Java developers: explore data at scale using the Java APIs of Apache Spark 2.x
Unleash the data processing and analytics capability of Apache Spark with the language of choice: Java About This Book Perform big data processing with Spark--without having to learn Scala! Use the Spark Java API to implement efficient enterprise-grade applications for data processing and analytics...
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Birmingham, UK
Packt Publishing
2017
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781787126497/?ar |
| Zusammenfassung: | Unleash the data processing and analytics capability of Apache Spark with the language of choice: Java About This Book Perform big data processing with Spark--without having to learn Scala! Use the Spark Java API to implement efficient enterprise-grade applications for data processing and analytics Go beyond mainstream data processing by adding querying capability, Machine Learning, and graph processing using Spark Who This Book Is For If 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. What You Will Learn Process data using different file formats such as XML, JSON, CSV, and plain and delimited text, using the Spark core Library. Perform analytics on data from various data sources such as Kafka, and Flume using Spark Streaming Library Learn SQL schema creation and the analysis of structured data using various SQL functions including Windowing functions in the Spark SQL Library Explore Spark Mlib APIs while implementing Machine Learning techniques to solve real-world problems Get to know Spark GraphX so you understand various graph-based analytics that can be performed with Spark In Detail Apache 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. Moving on, you will perform near-real-time processing with Spark streaming, Machine Learning analytics with Spark MLlib, and graph processing with GraphX, all using various Java packages. By the end of the book, you will have a solid foundation in implementing components in the Spark framework in Java to build fast, real-time applications. Style an ... |
| Beschreibung: | Online resource; title from title page (Safari, viewed August 14, 2017) |
| Umfang: | 1 Online-Ressource (1 volume) illustrations |
| ISBN: | 178712942X 9781787129429 9781787126497 |
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| spelling | Gulati, Sourav VerfasserIn aut Apache Spark 2.x for Java developers explore data at scale using the Java APIs of Apache Spark 2.x Sourav Gulati, Sumit Kumar Birmingham, UK Packt Publishing 2017 1 Online-Ressource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from title page (Safari, viewed August 14, 2017) Unleash the data processing and analytics capability of Apache Spark with the language of choice: Java About This Book Perform big data processing with Spark--without having to learn Scala! Use the Spark Java API to implement efficient enterprise-grade applications for data processing and analytics Go beyond mainstream data processing by adding querying capability, Machine Learning, and graph processing using Spark Who This Book Is For If 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. What You Will Learn Process data using different file formats such as XML, JSON, CSV, and plain and delimited text, using the Spark core Library. Perform analytics on data from various data sources such as Kafka, and Flume using Spark Streaming Library Learn SQL schema creation and the analysis of structured data using various SQL functions including Windowing functions in the Spark SQL Library Explore Spark Mlib APIs while implementing Machine Learning techniques to solve real-world problems Get to know Spark GraphX so you understand various graph-based analytics that can be performed with Spark In Detail Apache 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. Moving on, you will perform near-real-time processing with Spark streaming, Machine Learning analytics with Spark MLlib, and graph processing with GraphX, all using various Java packages. By the end of the book, you will have a solid foundation in implementing components in the Spark framework in Java to build fast, real-time applications. Style an ... Spark (Electronic resource : Apache Software Foundation) Application program interfaces (Computer software) Java (Computer program language) Interfaces de programmation d'applications Java (Langage de programmation) APIs (interfaces) COMPUTERS ; Data Processing COMPUTERS ; Databases ; Data Mining COMPUTERS ; Data Modeling & Design Kumar, Sumit VerfasserIn aut |
| spellingShingle | Gulati, Sourav Kumar, Sumit Apache Spark 2.x for Java developers explore data at scale using the Java APIs of Apache Spark 2.x Spark (Electronic resource : Apache Software Foundation) Application program interfaces (Computer software) Java (Computer program language) Interfaces de programmation d'applications Java (Langage de programmation) APIs (interfaces) COMPUTERS ; Data Processing COMPUTERS ; Databases ; Data Mining COMPUTERS ; Data Modeling & Design |
| title | Apache Spark 2.x for Java developers explore data at scale using the Java APIs of Apache Spark 2.x |
| title_auth | Apache Spark 2.x for Java developers explore data at scale using the Java APIs of Apache Spark 2.x |
| title_exact_search | Apache Spark 2.x for Java developers explore data at scale using the Java APIs of Apache Spark 2.x |
| title_full | Apache Spark 2.x for Java developers explore data at scale using the Java APIs of Apache Spark 2.x Sourav Gulati, Sumit Kumar |
| title_fullStr | Apache Spark 2.x for Java developers explore data at scale using the Java APIs of Apache Spark 2.x Sourav Gulati, Sumit Kumar |
| title_full_unstemmed | Apache Spark 2.x for Java developers explore data at scale using the Java APIs of Apache Spark 2.x Sourav Gulati, Sumit Kumar |
| title_short | Apache Spark 2.x for Java developers |
| title_sort | apache spark 2 x for java developers explore data at scale using the java apis of apache spark 2 x |
| title_sub | explore data at scale using the Java APIs of Apache Spark 2.x |
| topic | Spark (Electronic resource : Apache Software Foundation) Application program interfaces (Computer software) Java (Computer program language) Interfaces de programmation d'applications Java (Langage de programmation) APIs (interfaces) COMPUTERS ; Data Processing COMPUTERS ; Databases ; Data Mining COMPUTERS ; Data Modeling & Design |
| topic_facet | Spark (Electronic resource : Apache Software Foundation) Application program interfaces (Computer software) Java (Computer program language) Interfaces de programmation d'applications Java (Langage de programmation) APIs (interfaces) COMPUTERS ; Data Processing COMPUTERS ; Databases ; Data Mining COMPUTERS ; Data Modeling & Design |
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