Practical data science: a guide to building the technology stack for turning data lakes into business assets
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...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
[New York, New York]
Apress
[2018]
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| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781484230541/?ar |
| Zusammenfassung: | 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 scientist Andreas Vermeulen demonstrates in detail how to build and provision a technology stack to yield repeatable results. He shows you how to apply practical methods to extract actionable business knowledge from data lakes consisting of data from a polyglot of data types and dimensions. What You'll Learn: Become fluent in the essential concepts and terminology of data science and data engineering Build and use a technology stack that meets industry criteria Master the methods for retrieving actionable business knowledge Coordinate the handling of polyglot data types in a data lake for repeatable results. |
| Beschreibung: | Includes index. - Online resource; title from cover (viewed March 13, 2018) |
| Umfang: | 1 Online-Ressource (1 volume) illustrations |
| ISBN: | 9781484230541 148423054X 1484230531 9781484230534 |
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| spelling | Vermeulen, Andreas François VerfasserIn aut Practical data science a guide to building the technology stack for turning data lakes into business assets Andreas François Vermeulen [New York, New York] Apress [2018] ©2018 1 Online-Ressource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes index. - Online resource; title from cover (viewed March 13, 2018) 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 scientist Andreas Vermeulen demonstrates in detail how to build and provision a technology stack to yield repeatable results. He shows you how to apply practical methods to extract actionable business knowledge from data lakes consisting of data from a polyglot of data types and dimensions. What You'll Learn: Become fluent in the essential concepts and terminology of data science and data engineering Build and use a technology stack that meets industry criteria Master the methods for retrieving actionable business knowledge Coordinate the handling of polyglot data types in a data lake for repeatable results. Data structures (Computer science) Database management Structures de données (Informatique) Bases de données ; Gestion |
| spellingShingle | Vermeulen, Andreas François Practical data science a guide to building the technology stack for turning data lakes into business assets Data structures (Computer science) Database management Structures de données (Informatique) Bases de données ; Gestion |
| title | Practical data science a guide to building the technology stack for turning data lakes into business assets |
| title_auth | Practical data science a guide to building the technology stack for turning data lakes into business assets |
| title_exact_search | Practical data science a guide to building the technology stack for turning data lakes into business assets |
| title_full | Practical data science a guide to building the technology stack for turning data lakes into business assets Andreas François Vermeulen |
| title_fullStr | Practical data science a guide to building the technology stack for turning data lakes into business assets Andreas François Vermeulen |
| title_full_unstemmed | Practical data science a guide to building the technology stack for turning data lakes into business assets Andreas François Vermeulen |
| title_short | Practical data science |
| title_sort | practical data science a guide to building the technology stack for turning data lakes into business assets |
| title_sub | a guide to building the technology stack for turning data lakes into business assets |
| topic | Data structures (Computer science) Database management Structures de données (Informatique) Bases de données ; Gestion |
| topic_facet | Data structures (Computer science) Database management Structures de données (Informatique) Bases de données ; Gestion |
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