Welcome!

Goals

XLDB Goals

1. Identify trends, commonalities and major roadblocks related to building extremely large databases

2. Bridge the gap between users trying to build extremely large databases and database solution providers worldwide

3. Facilitate development and growth of practical technologies for extremely large data stores

1. Identify trends and major roadblocks related to building extremely large databases

2. Bridge the gap between users trying to build extremely large databases and database vendors

3. Understand if and how open source projects like the LSST Database can contribute to the previous two goals in the next few years

10/2007

09/2008

1. Continue to understand major roadblocks related to extremely large databases with an emphasis on complex analytics

2. Continue bridging the gaps within the XLDB community including science, industry, database researchers and vendors

3. Build the open source SciDB community

08/2009

1. Reach out to the XLDB communities outside of the USA

2. Connect with more science disciplines and communities which were underrepresented in the past workshops

3. Review existing XLDB engines and solutions and discuss how to move the state of the art forward

Some Highlights From Past Workshops

Many Commonalities in Data Analytics

– Pattern discovery

– Outlier detection

– Multi-point correlations in space and time

– Multi-d aggregation

– Unpredictable query load

– …

Many Common Trends

– Rapidly increasing size– Size growth is increasing– Discarding valuable data

– … and complexity– Data structures and techniques applied more complex– Capturing conditions that cannot be reconstructed

– … and flexibility needs– Rapidly changing or unknown requirements– Abandoning normalized schemas

– Platforms– Shared nothing parallel architectures on commodity clusters

– Rebuilding, not reusing

Roadblocks

– Funding

– Disconnects– Especially vendor-users, science-academia

– Analytical tools not keeping pace– Lack of fault-tolerant, scalable and affordable tools– SQL APIs - set orientation and low-level interfaces, poor

integration with analytical tools and procedural languages

XLDB Ignited Initiatives

– SciDB

– Science Benchmark

Things We Decided@ XLDB2

SciDB

– Disconnect from XLDB– Publish collected use cases– Reach out to more sciences– Periodically inform XLDB community

Science challenge

– Try to define a standard challenge focused on data-intensive scientific queries

Wiki

– Make more visible and publicize– Attempt to recruit an active moderator

Organize XLDB3

– 2 days, around VLDB or SIGMOD– Reach out to communities in Europe and Asia– Connect with more science disciplines and

communities– Plus, consider tutorial at VLDB or SIGMOD

to tell larger database community about real science requirements

It Is All About Ad-hoc Discussions

* You are expected to speak up too– Refrain from sale speeches

* Discussions are not electronically recorded

* Detailed report will be released– Once OK’ed by workshop participants

Attendance – Rough Breakdown

xldb1 xldb2 xldb3

43% 41% 46% Data-intensive scientific users

21% 19% 15% Data-intensive industrial users

30% 19% 24% Vendors, incl. startups

6% 21% 15% Academia, db research &

programmers

53 62 52 Total count

Agenda

http://www-conf.slac.stanford.edu/xldb09/agenda.htm

Logistics

Coffee Breaks / Lunch / Dinner

* Coffee breaks: 10:30am, 3:30pm

* Lunch 12:30pm– Reserved space

* Reception 6:00 pm, dinner 7:00pm – 9:00pm– Both at JOLS restaurant

* Special needs – just ask

* All free, thanks to our sponsors

Reception/Dinner Location

* JOLS restaurant

* Address: 283 Avenue Jean Jaurès

* How to get there– "C1" bus to Part-Dieu (or Brotteaux)– subway line “B” direction "GERLAND", take off at "DEBOURG"

BIG Thanks to Our Sponsors