M. Srikulwong

DATABASEA SEMINAR ON

[ University of the Thai Chamber of Commerce, 2016 ]

Types of Database

Big Data Challenge

Five Research Challenge (as of 2016)

Table of Contents

http://www.slideshare.net/mayureesrikulwong/database-and-database-management

Types of Databases

CATEGORIES QUANTITY

QUALITY SPEED

CHA L L ENGE

<BIG DATA>

— Abadi et al., 2016

DATABASE EDUCATION NEEDS MODERNISATION TO MEET THE

DEMAND OF DATA SCIENCE.

”

“

Three Community Challenges

Database Education

Data Science

Research Culture

Five Research Challenges

Scalable data infrastructure

Coping with data management diversity

Adoption of Clouds

End-to-end data processing

Roles of people

Adoption of Clouds

Elasticity Data replication

System administration Multitenancy Data sharing Hybrid clouds

Scalable Infrastructure

Query processing and optimisation (Mining) New hardware (parallel and distributed)

Cost-efficiency storage High-speed data streams

NoSQL consistency Metrics and benchmarks

Data Management Diversity

Cross-platform integration

Programming models (multiple language bindings)

Data Processing workflows (raw and cooked data)

E2E Data Processing

Data to knowledge pipeline Tool diversity

Tool customisability Open source

Understanding data Knowledge bases

Roles of People

Data producers Data curators

Data consumers Online communities

• Erturk, E. and Jyoti, K. 2015. Perspectives on a Big Data Application: What Database Engineers and IT Students Need to Know. Engineering, Technology & Applied Science Research, 5(5), pp.850-853.

• Tripathi, S.J. and Ramteke, P.L. 2015. Mobile Computing and Databases. International Journal of Advance Research in Computer Science and Management Studies, 3(4), pp.137-146.

DB Papers

• Abadi et al., 2016. The Beckman Report on Database Research. Communication of the ACM, 59(2), pp.92-99.

References

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