Skip to content
VuFind
  • 0 Items in e-Shelf (Full)
  • History
  • User Account
  • Logout
  • User Account
  • Help
    • English
    • Deutsch
  • Books & more
  • Articles & more
  • JuSER
Advanced
 
  • Literature Request
  • Cite this
  • Email this
  • Export
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
    • Export to MARC
    • Export to MARCXML
    • Export to BibTeX
  • Favorites
  • Add to e-Shelf Remove from e-Shelf
Cover Image
QR Code

Hands-on big data modeling : effective database design techniques for data architects and business intelligence professionals [E-Book] / James Lee, Tao Wei, Suresh Kumar Mukhiya.

Modeling and managing data is a central focus of all big data projects. In fact, a database is considered to be effective only if you have a logical and sophisticated data model. This book will help you develop practical skills in modeling your own big data projects and improve the performance of an...

More

Saved in:
Full text
Personal Name(s): Lee, James, author
Wei, Tao, author / Mukhiya, Suresh Kumar, author
Edition: 1st edition
Imprint: Birmingham : Packt Publishing, 2018
Physical Description: 293 pages (online resource)
Note: englisch
ISBN: 9781788626088
1788620909
9781788620901
Subject (LOC):
Database design
Big data
Data mining
Legal Information on the Use of Electronic Resources


  • Description
  • Table of Contents
  • Staff View

  • Hands-on big data modeling : effective database design techniques for data architects and business intelligence professionals
  • Contributors
  • Table of Contents
  • Preface
  • Chapter 1: Introduction to Big Data and Data Management
  • Chapter 2: Data Modeling and Management Platforms
  • Chapter 3: Defining Data Models
  • Chapter 4: Categorizing Data Models
  • Chapter 5: Structures of Data Models
  • Chapter 6: Modeling Structured Data
  • Chapter 7: Modeling with Unstructured Data
  • Chapter 8: Modeling with Streaming Data
  • Chapter 9: Streaming Sensor Data
  • Chapter 10: Concept and Approaches of Big-Data Management
  • Chapter 11: DBMS to BDMS
  • Chapter 12: Modeling Bitcoin Data Points with Python
  • Chapter 13: Modeling Twitter Feeds Using Python
  • Chapter 14: Modeling Weather Data Points with Python
  • Chapter 15: Modeling IMDb Data Points with Python
  • Other Books You May Enjoy
  • Index.

  • Forschungszentrum Jülich
  • Central Library (ZB)
  • Powered by VuFind 6.1.1
Loading...