Practical Data Science A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets /

• Κύριος συγγραφέας: Vermeulen, Andreas François (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berkeley, CA : Apress : Imprint: Apress, 2018.
• Έκδοση: 1st ed. 2018.
• Θέματα: Data mining.; Big data.; Data structures (Computer science).; Data Mining and Knowledge Discovery.; Big Data/Analytics.; Big Data.; Data Storage Representation.

Learn how to build a data science technology stack and perform good data science with repeatable methods. You will learn how to turn data lakes into business assets. The data science technology stack demonstrated in Practical Data Science is built from components in general use in the industry. Data...

Πίνακας περιεχομένων:

• Chapter 1: Data Science Technology Stack
• Chapter 2: Vermeulen - Krennwallner - Hillman - Clark
• Chapter 3: Layered Framework
• Chapter 4: Business Layer
• Chapter 5: Utility Layer
• Chapter 6: Three Management Layers
• Chapter 7: Retrieve Super Step
• Chapter 8: Assess Super Step
• Chapter 9: Process Super Step
• Chapter 10: Transform Super Step
• Chapter 11: Organize and Report Super Step
• .