Dasgupta Practical Big Data Analytics

Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
1. Auflage 2018
ISBN: 978-1-78355-440-9
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 412 Seiten

No detailed description available for "Practical Big Data Analytics".

Autoren/Hrsg.

Dasgupta, Nataraj

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung

Inhaltsverzeichnis

Table of Contents - Too Big Or Not Too Big

- Big Data Mining For The Masses
- The Analytics Toolkit
- Big Data with Hadoop
- Big Data Mining with NoSQL

- Spark for Big Data Analytics
- An Introduction to Machine Learning Concepts
- Machine Learning Deep Dive
- Enterprise Data Science
- Closing thoughts on Big Data
- Appendix- External Data Science Resources

Über Autor(innen)

Dasgupta Nataraj:

Nataraj Dasgupta is the vice president of advanced analytics at RxDataScience Inc. Nataraj has been in the IT industry for more than 19 years, and has worked in the technical and analytics divisions of Philip Morris, IBM, UBS Investment Bank, and Purdue Pharma. At Purdue Pharma, Nataraj led the data science division, where he developed the company's award-winning big data and machine learning platform. Prior to Purdue, at UBS, he held the role of Associate Director, working with high-frequency and algorithmic trading technologies in the foreign exchange trading division of the bank.