Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark - Info and Reading Options
By Russell Jurney
"Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark" is published by O'Reilly Media in Jun 23, 2017 - Beijing Boston Farnham Sebastopol Tokyo and it has 352 pages.
“Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark” Metadata:
- Title: ➤ Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark
- Author: Russell Jurney
- Number of Pages: 352
- Publisher: O'Reilly Media
- Publish Date: Jun 23, 2017
- Publish Location: ➤ Beijing Boston Farnham Sebastopol Tokyo
“Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark” Subjects and Themes:
- Subjects: ➤ Agile software development - Data mining - Data Mining - Exploration de données (Informatique) - Méthodes agiles (Développement de logiciels) - COMPUTERS - General
Edition Identifiers:
- The Open Library ID: OL26836287M - OL19545688W
- Online Computer Library Center (OCLC) ID: 989872334
- ISBN-13: 9781491960110
- ISBN-10: 1491960116
- All ISBNs: 1491960116 - 9781491960110
AI-generated Review of “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" Description:
Open Data:
Part I. Setup. Theory -- Agile tools -- Data -- Part II. Climbing the pyramid. Collecting and displaying records -- Visualizing data with charts and tables -- Exploring data with reports -- Making predictions -- Deploying predictive systems -- Improving predictions
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