http:wwwconf.slac.stanford.eduxldb07

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Welcome!
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• http//www-conf.slac.stanford.edu/xldb07

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(No Transcript)
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One Day, Three Goals

• Identify trends and major roadblocks related to
  building extremely large databases
• Bridge the gap between users trying to build
  extremely large databases and database vendors
• Understand if and how open source projects like
  the LSST Database can contribute to the previous
  two goals in the next few years

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Things We Talked About
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• Valuable data discarded due to scalability limits
  and cost

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Substantial commonalities between science
industry (pattern discovery, multi-d aggregation,
unpredictable query load, procedural language
needs, )
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Industry leading scale, science leading
complexity of analytics
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Parallel, shared-nothing architectures on
commodity clusters are becoming very popular
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Roadblocks funding problems, vendor-users
disconnect, science-academia disconnect
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Rebuilding, not reusing software
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Gap between needs and what vendors offer is
widening
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Structured and unstructured data coming together
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MapReduce popular, but lacks efficient joins
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Things We Decided
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?

• Conduct another workshop in 1 year, 2-3 days,
  _at_SLAC
• Dont expand size much
• By-invitation only
• Focus on experience sharing, commonalities that
  can be developed into community-wide requirements

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?

• Try to setup smaller workshop and/or working
  group(s)
• In particular science db academics

http//xldb.slac.stanford.edu/display/XLDB/SciDB
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• Set up shared infrastructure
• Initially wiki, possibly test-bed environments

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• Try to define a standard benchmark focused on
  data-intensive queries

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• http//www-conf.slac.stanford.edu/xldb08

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Two Days, Three Goals

• Continue to understand major roadblocks related
  to extremely large databases with an emphasis on
  complex analytics
• Continue bridging the gaps within the XLDB
  community including science, industry, database
  researchers and vendors
• Build the open source SciDB community

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It Is All About Ad-hoc Discussions

• You are expected to speak up too
• But no sale speeches, please
• Discussions are not electronically recorded
• Detailed report will be released
• Once OKed by workshop participants

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Attendance Rough Breakdown
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Attendance Rough Breakdown
If this group wont make a difference, who will?

• Big science
• Big industries
• All major DBMS vendors
• Very promising startups
• World-class DB researchers
• Superstar DB programmers

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Dinner

• Location
• Sheraton Palo Alto
• Driving directions available
• Reception
• 700 pm 730 pm
• Dinner
• 730 pm 1000 pm
• Buffet
• Cost
• Free
• Maybe except the valet parking

Make sure you wear your XLDB2 badge
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BIG Thanks to Our Sponsors
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Agenda
http//www-conf.slac.stanford.edu/xldb08/agenda.ht
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