Opening book details…
Can I read Mastering Apache Spark 2.x : scalable analytics faster than ever on EtoBox?
Mastering Apache Spark 2.x : scalable analytics faster than ever by Kienzler, Romeo is a computer science book available to read on EtoBox.
What is Mastering Apache Spark 2.x : scalable analytics faster than ever about?
<b>Advanced analytics on your Big Data with the latest Apache Spark 2.x</b> Key Features <ul> <li>[*]Master the art of real-time Big Data processing using Apache Spark 2.x</li> <li>[*]Perform machine learning, deep learning and streaming data analytics by extending the most up-to-date functionalities of Apache Spark</li> <li>[*]An advanced guide with a unique combination of tips, instructions and practical examples on using Apache Spark effectively</li> </ul> Book Description Apache Spark is an
Who reads Mastering Apache Spark 2.x : scalable analytics faster than ever?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Kienzler, Romeo
- Publisher
- Packt Publishing - ebooks Account
- Published
- 2017
- Language
- EN
- ISBN
- 9781785285226
- Category
- computer science
- Subjects
- Science, Technology, Computer Science
- Updated
- 2026-03-24
Other editions & translations
More by Kienzler, Romeo
Browse all works by Kienzler, Romeo
Similar books
- Apache Spark 2.x for Java Developers: Explore big data at scale using Apache Spark 2.x Java APIs — Gulati, Sourav, Kumar, Sumit (2017)
- Apache Spark 2 : Data Processing and Real-Time Analytics : Master complex big data processing, stream analytics, and machine learning with Apache Spark — Romeo Kienzler, Md. Rezaul Karim, Sridhar Alla, Siamak Amirghodsi, Meenakshi Rajendran, Broderick Hall, Shuen Mei (2018)
- Mastering Apache Spark — Mike Frampton
- Apache Spark 2.x Cookbook : Cloud-ready Recipes to Do Analytics and Data Science on Apache Spark — Rishi Yadav (2017)
- Apache Spark for Data Science Cookbook : Over Insightful 90 Recipes to Get Lightning-fast Analytics with Apache Spark — Padma Priya Chitturi (2016)
- Beginning Apache Spark Using Azure Databricks : Unleashing Large Cluster Analytics in the Cloud — Robert Ilijason (2020)