Big Data - fbi.h

BIG DATA TECHNOLOGIES
CONCLUSION & OUTLOOK
h_da Prof. Dr. Uta Störl
Big Data Technologies: Conclusion and Outlook - SoSe 2017
1
Conclusion
• Big Data Challenges
– Volume, Velocity, Variety, ...
– Vision: OLTP + OLAP: Anything, Anywhere, Anytime
• Different Approaches
– Scale up vs. Scale out
– NoSQL database systems
– In-Memory database systems (with mixed row and column store layout)
h_da Prof. Dr. Uta Störl
Big Data Technologies: Conclusion and Outlook - SoSe 2017
2
Conclusion
• Not discussed here
– Data Stream Processing
– Complex Event Processing (CEP)
 Lecture “BigData Analytics” (I. Schestag) WS 2017/18
– Distributed Data Mining
– Data Streaming and Complex Event Processing
– Reference Architectures for Big Data
h_da Prof. Dr. Uta Störl
Big Data Technologies: Conclusion and Outlook - SoSe 2017
3
Curriculum Databases (Master)
WS 2017/18
Big Data Analytics
Aktuelle Datenbanktechnologien
Big Data
Technologien
Data, Text und Web
Mining
Applied Data
Warehousing
WS 2017/18
Architektur von
Datenbanksystemen
h_da Prof. Dr. Uta Störl
Big Data Technologies: Conclusion and Outlook - SoSe 2017
4
Outlook
• Trends
– SQL on Hadoop!
– Integration of NoSQL database features in SQL database systems
– Multimodel Databases? (ArangoDB, OrientDB)
– Automated Polyglot Persistence!
• Research Topics
– Benchmarks for NoSQL database systems
– Schema evolution in NoSQL database systems
– Best practices for application development with NoSQL database systems
– Decision guidelines for NoSQL and/or SQL database landscape
– Automated Polyglot Persistence!
– …
 Topics for master’s thesis!
h_da Prof. Dr. Uta Störl
Big Data Technologies: Conclusion and Outlook - SoSe 2017
5