XLDB-2013 Conference Program

1.	RAW: High-performance queries over raw data, Miguel Branco / EPFL
2.	Three Generations of the Vertica Query Optimizer, Nga Tran / Vertica
3.	2012 Government Big Data Solutions Award: Analyzing Cancer-Genome Relationships, Tom Plunkett / Oracle
4.	Distributed R for Big Data, Indrajit Roy / HP
5.	Low Latency Security Log Analysis with Hadoop HBase, Dianhui Zhu, Peter Ng, Dennis Bourque / Chevron
6.	Scaling the CDD Vault Technology for a Global Community of Drug Discovery Researchers' Private and Public Use Cases, Krishna Dole / Collaborative Drug Discovery (CDD)
7.	SciDB for Terabytes of Scientific Data - Experience at Berkeley Lab, Yushu Yao / LBNL/NERSC
8.	GenBase: A Complex Analytics DBMS Benchmark, Sam Madden, Michael Stonebraker, Manasi Vartak, Rebecca Taft / Computer Science and Artificial Intelligence Laboratory M.I.T.
9.	Building a Network of E-Commerce Concepts, Sandip Gaikwad, Sanjay Ghatare, Nish Parikh, Rajendra Shinde / eBay

3:45 PM

Poster Session + Demonstrations + Ice Creams

Thought Provoking

4:25 PM

A Vision and Research Program in "Big Data"

Mike Stonebraker
(MIT)

Genomics

4:50 PM

Comparative Analysis in an Expanding Universe of Microbial Genome & Metagenome Datasets

Microbial genome and microbial community metagenome analysis are expected to lead to advances in healthcare, environmental cleanup, agriculture, industrial processes, and alternative energy production. ...»

Victor Markowitz
(DOE Joint Genome Institute)

Data Management and Analysis Challenges, part I

5:20 PM

BigFastData - Diagnostics, Predictive Analysis & Self Healing Systems

Yasir Anwar (Macy's)

5:50 PM

Adjourn

6:00 PM

120

Reception and non-seated dinner

See Social Event

WEDNESDAY, SEPTEMBER 11, 2013

8:00 AM

Continental Breakfast (registration starts 7:30 AM, Knight Management Center)

9:00 AM

Announcements

XLDB Organizers

Oil, Gas & Petrochemical Industry:
Data Management and Analysis Challenges

9:05 AM

Typical Data at the ExxonMobil Chemical Company

The ExxonMobil Chemical Company manufactures the building blocks for a wide range of products, from packaging materials and plastic bottles to automobile bumpers, synthetic rubber, solvents and countless consumer goods. ...»

Steve Lacy
(ExxonMobil)

9:40 AM

The Now and Later of Large Scale Computing at Chevron

Finding, developing and extracting oil and gas from the subsurface is and has been a data driven exercise. Throughout the continuum from the first seismic experiments in the early part ...»

Peter Breunig
(Chevron)

10:15 AM

Coffee Break

Scaling MySQL for Web, and Beyond

10:35 AM

The MySQL Ecosystem at Scale

I will start a discussion of MySQL's roots, some common high-scale usage scenarios, its strengths and weaknesses at scale, and. ...»

Jeremy Cole
(Google)

11:10 AM

Small Data at Peta Scale

Sharing and interaction on Facebook results in massive social graph dataset that has trillions of edges, all of them having to be accessible at web access latencies in multiple datacenter regions. ...»

Domas Mituzas & Harrison Fisk (Facebook)

Hardware Trends

11:45 AM

Hardware and Its Effect on Software: Prepare for Massive Change

The industry is at a series of inflection points, and they are all converging at nearly the same time. Changes in how storage is going to evolve, changes in networks, changes in memory systems ,...»

Per Brashers
(Yttibrium Consulting)

12:30 PM

Lunch

Retail: Data Management and Analysis Challenges, part II

1:30 PM

Transforming Retail with Multichannel Analytics

Consumers are constantly using new channels, new data sources, new media, and new applications to determine the best plance, price and time to shop. ...»

Anu Jain (Target)

2:00 PM

Big Data Tools: Game Changer for Mainstream Enterprises

Shopping expectations for technology savvy consumers today have changed and retailers need to reinvent continuously through technology and innovation. For mainstream enterprises, ...»

Aashish Chandra
(Sears, MetaScale)

Lightning Talks

Moderator: Jacek Becla

2:30 PM

Big-Data Analytics Usability (Best voted 2013-lightning talk)

Increasingly, users of Big Data analytics systems are experts in some domain area (e.g., domain sciences) but are not necessarily experts in large-scale data processing ...»

Magda Balazinska
(UW)

2:55 PM

Lightning Talks (9 x 5 min)

1.	Separation of Hadoop Processing and Storage at Netflix, Kurt Brown, Director, Data Platform / Netflix
2.	The Importance of Late Binding for Big Data Analytics, Stephen Brobst / Teradata Corporation
3.	Large-Scale Text Analytics - MapReduce or Parallel DBMSs?, Fei Chen, Meichun Hsu / HP Labs
4.	Efficient k-mer indexing for metagomics search in NVRAM, Sasha Ames / Lawrence Livermore National Laboratory
5.	Delivering Big Data Technologies as a Service, Dj Das / Third Eye Consulting Services & Solutions LLC
6.	Analyzing 30 million patient lives across a million variable combinations, Arijit Sengupta / BeyondCore, CEO
7.	Distributed Query Processing with MonetDB, Mengmeng Chen, Masood Mortazavi / Futurewei Technologies
8.	In-Situ Processing of Genomic Sequence Alignment Data, Florin Rusu, Yu Cheng / University of California, Merced
9.	I of T - Proxy Control, Justin Simonds, HP EG Americas Master Technologist

3:40 PM

Poster Session + Demonstrations + Extended Coffee Break

Big Data, Electronic Trading and DBMS

4:20 PM

Big Data in Electronic Securities Trading and Its Implications for DBMS

Over the past decade global securities markets have dramatically changed. Evolution of market structure in combination with advances in computer technologies led to emergency ...»

Alex Nazuruk
(Middle Lake Partners, LLC)

Conclusions and Closeout

4:50 PM

Closing Remarks

Next conference planning, final conclusions and closeout

Jacek Becla

5:00 PM

Adjourn