×
Dodano do koszyka:
Pozycja znajduje się w koszyku, zwiększono ilość tej pozycji:
Zakupiłeś już tę pozycję:
Książkę możesz pobrać z biblioteki w panelu użytkownika
Pozycja znajduje się w koszyku
Przejdź do koszyka

Zawartość koszyka

ODBIERZ TWÓJ BONUS :: »

Apache Spark 2.x for Java Developers. Explore big data at scale using Apache Spark 2.x Java APIs

(ebook) (audiobook) (audiobook) Książka w języku angielskim
Apache Spark 2.x for Java Developers. Explore big data at scale using Apache Spark 2.x Java APIs Sourav Gulati, Sumit Kumar - okladka książki

Apache Spark 2.x for Java Developers. Explore big data at scale using Apache Spark 2.x Java APIs Sourav Gulati, Sumit Kumar - okladka książki

Apache Spark 2.x for Java Developers. Explore big data at scale using Apache Spark 2.x Java APIs Sourav Gulati, Sumit Kumar - audiobook MP3

Apache Spark 2.x for Java Developers. Explore big data at scale using Apache Spark 2.x Java APIs Sourav Gulati, Sumit Kumar - audiobook CD

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
350
Dostępne formaty:
     PDF
     ePub
     Mobi

Ebook (134,10 zł najniższa cena z 30 dni)

159,00 zł (-81%)
29,90 zł

Dodaj do koszyka lub Kup na prezent Kup 1-kliknięciem

(134,10 zł najniższa cena z 30 dni)

Przenieś na półkę

Do przechowalni

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.

Wybrane bestsellery

O autorach książki

Sourav Gulati is associated with software industry for more than 7 years. He started his career with Unix/Linux and Java and then moved towards big data and NoSQL World. He has worked on various big data projects. He has recently started a technical blog called Technical Learning as well. Apart from IT world, he loves to read about mythology.
Sumit Kumar is a developer with industry insights in telecom and banking. At different junctures, he has worked as a Java and SQL developer, but it is shell scripting that he finds both challenging and satisfying at the same time. Currently, he delivers big data projects focused on batch/near-real-time analytics and the distributed indexed querying system. Besides IT, he takes a keen interest in human and ecological issues.

Packt Publishing - inne książki

Zamknij

Przenieś na półkę

Proszę czekać...
ajax-loader

Zamknij

Wybierz metodę płatności

Ebook
29,90 zł
Dodaj do koszyka
Zamknij Pobierz aplikację mobilną Ebookpoint