Big Data In-Memory Analytics explained by SAP HANA

Studienarbeit , 2015 , 20 Seiten , Note: 1,0

Informatik - Wirtschaftsinformatik

Nowadays, people produce large amounts of data with talking via smartphones, reading e-mails or using platforms to find the appropriate partner. Conventional technologies no longer cope with the increasing amount of data and come to their limits. Therefore new technologies of Big Data are required for data processing to overcome the data flood.

At the beginning, this paper clarifies what Big Data is, the technologies of Big Data, how Big Data differs from Business Intelligence and a distinction is made between Data Warehouse and Business Intelligence. Furthermore, the theory of the Big Data technology in-memory analytics is explained and an implementation of this technology called “SAP HANA” is consulted and reviewed. In conclusion, the potential of in-memory analytics will be classified.

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

• Hochschule: Hochschule Ansbach - Hochschule für angewandte Wissenschaften Fachhochschule Ansbach
• Veranstaltung: Wissentschaftliches Arbeiten
• Note: 1,0
• Autor: Sven Weinzierl (Autor:in)
• Erscheinungsjahr: 2015
• Seiten: 20
• Katalognummer: V300886
• ISBN (eBook): 9783656970804
• ISBN (Buch): 9783656970811
• Sprache: Englisch
• Schlagworte: theory, data, in-memory, analytics, technology, hana