Observations from a 2-year Odyssey Michael Franklin UC Berkeley and Truviso

Changing landscape Massive data volume increase 3X/yr typical; 10X/yr not uncommon Real-time is still not a driving factor, although responsiveness is. Business processes are slow to change. Importance of dynamic network structures, both physical and virtual. Distance between IT (i.e., overhead) and Business (i.e., profit centers) is tending towards 0. Web-centric companies are in the vanguard. Financial Services as well. Intuitive appreciation for the importance of analytics. Text/Semi/Unstructured data increasingly valuable in “traditional” IT environments. Enterprise 2.0; Self-Service; Web 2.0 becoming profitable? Paying for software licenses is becoming obsolete.

Massive data volume increase

3X/yr typical; 10X/yr not uncommon

Real-time is still not a driving factor, although responsiveness is.

Business processes are slow to change.

Importance of dynamic network structures, both physical and virtual.

Distance between IT (i.e., overhead) and Business (i.e., profit centers) is tending towards 0.

Web-centric companies are in the vanguard. Financial Services as well.

Intuitive appreciation for the importance of analytics.

Text/Semi/Unstructured data increasingly valuable in “traditional” IT environments.

Enterprise 2.0; Self-Service; Web 2.0 becoming profitable?

Paying for software licenses is becoming obsolete.

Strategic Objective A database research community that is: Healthy Thriving Relevant Useful Intellectually Stimulating Fun

A database research community that is:

Healthy

Thriving

Relevant

Useful

Intellectually Stimulating

Fun

SWOT Analysis for the DB Community External Internal Correctness Scale Wide Applicability Heavyweight Schema-first Store-first Static Data volumes Data value New content types New applications Scalable Infrastructure Commoditization Disruptive Technology Rise of new data types New user expectations Lack of Research Funding N.B.: For researchers, threats are often opportunities. Threats Opportunities Weaknesses Strengths

Correctness

Scale

Wide Applicability

Heavyweight

Schema-first

Store-first

Static

Data volumes

Data value

New content types

New applications

Scalable Infrastructure

Commoditization

Disruptive Technology

Rise of new data types

New user expectations

Lack of Research Funding

Cloud Computing as Disruptive Technology Good news: no longer need to convince people that computers are mainly for data management. Bad news: need to convince these people that database technology is relevant.

Good news: no longer need to convince people that computers are mainly for data management.

Bad news: need to convince these people that database technology is relevant.

Alternating Existential Crises Mode 1 – “Did we miss the boat?” Mode 2 – “Are we polishing a round ball?”

Mode 1 – “Did we miss the boat?”

Mode 2 – “Are we polishing a round ball?”