Decision Support News
D. J. Power, Editor
October 13, 2013             Vol. 14, No. 21

In this issue

1) What is ACID and BASE in database theory?
2) Recent DSS News Headlines
3) Upcoming Decision Support Conferences/Call for Papers

1) What is ACID and BASE in database theory?

by Daniel Power

Data-driven and document-driven decision support systems derive functionality from data stores and databases. Beginning in the late 1990s, distributed computing facilitated deployment of new database architectures and led to post-relational databases. Storing and processing data across multiple computing nodes however creates potential problems in transaction processing. The expansion of the Internet and the need for managing larger data stores faster also led to innovation. In 2000, Eric Brewer popularized the acronym "BASE" in his keynote address at the ACM Symposium titled “Towards Robust Distributed Systems”. Brewer also explained the CAP Theorum. CAP refers to Consistency, Availability and Partition Tolerance. The theorum asserts a distributed, networked system can have only two of these three properties. How are these concepts relevant to decision support?

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2) Recent DSS News Headlines

10/11/2013 HEC Paris and IBM create new MBA curriculum focused on big data/business analytics. Check release.

10/10/2013 SAP named a category leader in data management, Business Intelligence and Basel III by Chartis. Check release.

3) Upcoming Decision Support Conferences/Call for Papers/Books

1. SIGDSS Workshop "Reshaping Society through Analytics, Collaboration, and Decision Support" December 15, 2013 in Milan, Click here

2. DSI Annual meeting, Baltimore, MD Nov. 16-19, 2013 Click here

3. Deadline December 9, 2013 Call for papers: Group Decision Making and Web 3.0, Toulouse. Click here

4. ICIS December 15-18, 2013 Click here

5. Deadline December 15, 2013. Call for papers: DSS 2.0 – Supporting decision making with new technologies, Paris, June 2-5, 2014 Click here


Order Dan Power's new book: Decision Support, Analytics, and Business Intelligence, Second Edition
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