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Big Data In-Memory Analytics explained by SAP HANA


Research Paper (undergraduate), 2015

20 Pages, Grade: 1,0


Excerpt


Table of contents

Abstract

List of figures

1 Meaning of Big Data

2 Technologies of Big Data

3 Big Data versus Business Intelligence

4 Business Intelligence, Business Intelligence Framework and Data Warehouse

5 In-memory analytics
5.1 Example of implementation: SAP HANA
5.1.1 Technical concepts
5.1.2 SAP HANA and real-time
5.1.3 Solutions of SAP HANA
5.1.4 Review
5.2 Potential of in-memory analytics

References

Excerpt out of 20 pages

Details

Title
Big Data In-Memory Analytics explained by SAP HANA
College
University of Applied Sciences Ansbach
Course
Wissentschaftliches Arbeiten
Grade
1,0
Author
Year
2015
Pages
20
Catalog Number
V300886
ISBN (eBook)
9783656970804
ISBN (Book)
9783656970811
File size
685 KB
Language
English
Keywords
theory, data, in-memory, analytics, technology, hana
Quote paper
Sven Weinzierl (Author), 2015, Big Data In-Memory Analytics explained by SAP HANA, Munich, GRIN Verlag, https://www.grin.com/document/300886

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