Agile Data Science 2.0: Building Full Stack Data Analytics Applications With Spark

Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark

Russell Jurney, "Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark"
English | ISBN: 1491960116 | 2017 | 352 pages | AZW3 | 6 MB

Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark  eBooks & eLearning

Posted by AlenMiler at June 13, 2017
Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark

Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark by Russell Jurney
English | 7 Jun. 2017 | ASIN: B072MKL34K | 352 Pages | AZW3 | 5.91 MB
Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark

Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark by Russell Jurney
English | June 23, 2017 | ISBN: 1491960116 | EPUB | 352 pages | 9.8 MB

Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark  eBooks & eLearning

Posted by First1 at Sept. 24, 2017
Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark

Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark by Russell Jurney
English | May 26th, 2017 | ISBN: 1491960116, 9781491960110 | 351 pages | True PDF | 11.51 MB

Data science teams looking to turn research into useful analytics applications require not only the right tools, but also the right approach if they’re to succeed. With the revised second edition of this hands-on guide, up-and-coming data scientists will learn how to use the Agile Data Science development methodology to build data applications with Python, Apache Spark, Kafka, and other tools.