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A hands-on introduction to big data analytics / Funmi Obembe and Ofer Engel.

By: Contributor(s): Material type: TextTextPublisher: London ; Thousand Oaks : Sage, 2024Description: xxi, 366 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781529600087
Subject(s): DDC classification:
  • 23 005.7 Ob21h
LOC classification:
  • QA76.9.B45 .O24 2024
Contents:
Introduction to big data analytics -- Big data technologies -- Apache spark -- Big data storage -- Big data analytics and cloud computing -- Big data analytics and actionable insights -- Graph analytics -- Machine learning -- Natural language processing -- Real-time data analytics -- Big data analytics and visualization -- Going forward.
Summary: "This new textbook offers a hands-on introduction to big data analytics, helping you to develop the skills you need to hit the ground running as a data professional. The textbook complements theoretical foundations with an emphasis on the application of big data analytics, illustrated by real-life use cases as well as using real-life data for all examples and practice work. The book contains comprehensive coverage of all of the key topics in this area, and uses open-source technologies and examples in Python, PySpark and R"-- Provided by publisher.
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Holdings
Item type Current library Shelving location Call number Copy number Status Date due Barcode
Books Books Main Library Circulation Section CIR 005.7 Ob21h 2024 (Browse shelf(Opens below)) 1-1 Available 031325

Includes bibliographical references and index.

Introduction to big data analytics -- Big data technologies -- Apache spark -- Big data storage -- Big data analytics and cloud computing -- Big data analytics and actionable insights -- Graph analytics -- Machine learning -- Natural language processing -- Real-time data analytics -- Big data analytics and visualization -- Going forward.

"This new textbook offers a hands-on introduction to big data analytics, helping you to develop the skills you need to hit the ground running as a data professional. The textbook complements theoretical foundations with an emphasis on the application of big data analytics, illustrated by real-life use cases as well as using real-life data for all examples and practice work. The book contains comprehensive coverage of all of the key topics in this area, and uses open-source technologies and examples in Python, PySpark and R"-- Provided by publisher.

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