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Beckman Self Assessment

Delve into the dynamic world of Big Data and Data Science through a comprehensive self-assessment. Explore educational fundamentals, seize opportunities, and redefine a common purpose. Embrace the vast possibilities in Information Management and expand your horizons beyond scale and speed.

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Beckman Self Assessment

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  1. Beckman Self Assessment H. V. Jagadish Univ. of Michigan

  2. Publication Culture • Lots that can be done. • Lots we already have done • CIDR • PVLDB • Easy to while away two days complaining. • I propose only actionable items be discussed.

  3. DB Education • We need to revisit our fundamentals. • I agree there is a pressing need. • I have lots of opinions/ideas. • But … • Someone will write an influential textbook soon. • Until then, not much point trying to invent a course by committee.

  4. Big Data/Data Science • We have a once in a lifetime opportunity. • We must sieze it whole-heartedly. • Lots more I can say. • But I will hold off till later.

  5. We Have Lost Our Way • When the relational model was young, it served as glue as we each worked on different aspects of systems and theory. • Today, there is no real central glue that binds us. • And to the extent this is still the relational model, or RDBMS, we have a narrow scope problem.

  6. Common Purpose • Our defining shared interest today, if anything, is size/speed/scaling. • This is a bad way to define a field • It is boring. • No wonder kids are more excited by ML.. • Industry has far greater resources than academia, and so sets the agenda. Researchers are playing catch up.

  7. Solution?? • My current proposal is to define ourselves as “information management” and to include as full-fledge members of our community, people who work on IR/GIS/Multimedia … • Expands the scope of our field, but gives it meaning that we can explain. • Also plays well with data science • Plenty of challenges we can define in IM, other than scale/speed/size.

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