Strata 2013 Sponsored Sessions

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Ballroom CD
Jeanne Harris (Accenture)
Average rating: ***..
(3.83, 6 ratings)
How must big companies evolve in order to realize big value from big data? Investing in data, technology and data scientists is just a first step. Read more.
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Ballroom CD
Fernando Mesa (Mark Logic), Justin Makeig (MarkLogic)
Average rating: ***..
(3.00, 2 ratings)
In this session we'll explore a Big Data architecture that combines the core components needed in most Big Data implementations. Read more.
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Mission City Ballroom
This presentation will be streamed live.
Scott Yara (Greenplum, a division of EMC)
Average rating: ***..
(3.29, 14 ratings)
Hadoop is the engine powering the Big Data era, an unstoppable force boasting massive investments and a rich ecosystem. But this is only the beginning: Hadoop has the potential to reach beyond Big Data and become the Foundation for Change, catalyzing new levels of business productivity and transformation. Hadoop will become the Foundation for Change. Read more.
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Mission City Ballroom
This presentation will be streamed live.
John Schroeder (MapR Technologies)
Average rating: **...
(2.50, 14 ratings)
The excitement about Big Data stems from the results: the impact on revenue, the decrease in costs, the Big gains in competitive advantage that result from Hadoop and HBase applications. This keynote provides insights into how the combination of scale, efficiency and analytic flexibility creates the power to expand the applications for Hadoop to transform companies as well as entire industries. Read more.
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Mission City Ballroom
This presentation will be streamed live.
Prasad Ram (Gooru)
Average rating: ***..
(3.31, 13 ratings)
More than ever before, students are using the Internet to study, leaving behind a trail of valuable data. How can we leverage this data to improve education? Read more.
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Ballroom G
Billy Bosworth (DataStax)
Average rating: *....
(1.33, 3 ratings)
Discussion of how big data is impacting modern business, which market trends are driving the adoption of big data solutions, and how big data professionals can choose the right technology to transform their business. Read more.
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Ballroom H
Ted Dunning (MapR)
Average rating: ****.
(4.00, 1 rating)
As enterprises deploy Hadoop, it’s not the volume or velocity of data that is problematic, but the variety of types and formats of their critical data. This session discusses how leading companies have integrated Hadoop, NoSQL (HBase) and enterprise sources on one platform. Data is combined and processed in one simplified architecture. Case studies and reference architectures will be reviewed. Read more.
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Ballroom H
Tim Estes (Digital Reasoning), Brandon Daniels (Clutch Group)
Given the exponential rise in data, attorneys have an obligation to meet today’s Governance, Risk and Compliance (GRC) challenges and stay on top of technology in order to achieve broader institutional benefits. Join Digital Reasoning and the Clutch Group to learn how moving from document-centric to entity-centric analytics is key in gaining valuable knowledge from unstructured information. Read more.
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Ballroom G
Joydeep Das (SAP)
Average rating: **...
(2.00, 1 rating)
Opposites attract and that’s the case with Hadoop and analytic databases. Both have a role to play in your Big Data projects. This session explores the various approaches to cementing the bond between Hadoop to your analytic database, how SAP customers are integrating Hadoop into BI and advanced analytic environments, and why you’ll want to do that too. Read more.
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Ballroom H
Josh Klahr (Pivotal), Gavin Sherry (EMC)
The emergence of Apache Hadoop over the past few years has required organizations to completely rethink architectures that have been in place for decades. And with changes in the underlying data fabric, come ripple effects, and often bottlenecks, that impact all levels of an organization both business and technical. Read more.
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Ballroom G
Peter Schlampp (Platfora)
Enterprises are moving forward with the vision of creating a central repository of all enterprise data stored inexpensively and processed efficiently in Hadoop. Only a fraction have yet been successful. This session will explore the pitfalls of implementing the Hadoop Data Reservoir and the requirements that lead to success. Read more.
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Ballroom G
Average rating: ***..
(3.00, 1 rating)
Learn first-hand how advanced analytics are enabling modern enterprises to deal with big data challenges. Read more.
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Ballroom H
Anand Venugopal (Impetus Technologies Inc.), Vineet Tyagi (Impetus Technologies)
2012 was particularly interesting for the variety of Big Data use-cases implemented. This session explores key patterns across horizontal and vertical use cases. Read more.
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Ballroom G
Raanan Dagan (Splunk), Rahul Deshmukh (Splunk)
Average rating: ***..
(3.00, 3 ratings)
In this talk, we'll examine compelling, real-world examples that offer a blueprint for integrating big data technologies, delivering rapid visibility and insights to IT professionals, data analysts and business users, and that accelerate the adoption of big data in the enterprise. Read more.
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Ballroom H
Marie Bienkowski (SRI International), Jace Kohlmeier (Khan Academy), Zachary Pardos (Massachusetts Institute of Technology), Sharren Bates (inBloom)
Average rating: ****.
(4.00, 1 rating)
This panel will share insights on how K-16 education can benefit from developments in Big Data ecosystems. Read more.
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Ballroom H
John Santaferraro (Actian Corporation ), Walt Maguire (ParAccel)
ParAccel runs analytic queries 100x faster than Hive with much deeper SQL Support. Hear how companies are using analytic platforms for fast, interactive analysis on big data. Read more.
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Ballroom G
Carl Steinbach (Apache Software Organization)
Average rating: ****.
(4.75, 8 ratings)
This talk is about the emergence of a new class of analytic databases based on principles first popularized by Google Dremel. These systems have been designed with the goal of enabling real-time SQL on Hadoop, while also supporting schema-on-read, semi-structured data, and pluggable storage engines. In this talk we will explain the novel architectural features that make these goals a reality. Read more.
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Mission City Ballroom
This presentation will be streamed live.
Dave Campbell (Microsoft)
Average rating: ***..
(3.71, 14 ratings)
Microsoft keynote, featuring Dave Campbell, Vice President of Product Development for the SQL Server product suite. Read more.
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Mission City Ballroom
This presentation will be streamed live.
Girish Juneja (Intel)
Average rating: *....
(1.50, 14 ratings)
How software can transform human lives by bringing intelligence to wherever big data lives. Read more.
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Mission City Ballroom
This presentation will be streamed live.
Joydeep Das (SAP)
Average rating: *....
(1.78, 18 ratings)
Hadoop and SAP HANA are taking the world by storm. SAP HANA is the fastest growing commercial database in the market, being adopted by the world’s top enterprises for real-time analytics and applications. Read more.
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Ballroom G
Greg Khairallah (Intel), Bert Haskell (Pecan Street Projects)
Real-world examples of utility companies around the world using Hadoop to optimize their services and changing Hadoop in the process. Read more.
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Ballroom H
Eron Kelly (Microsoft Corporation), Paul Henderson (Ascribe)
Microsoft partner, Ascribe, is using Microsoft’s Big Data solutions to turn emergencies into actionable data Read more.
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Ballroom G
Michael Lang Sr. (Revelytix)
Managing data in Hadoop gets complex quickly - *Loom* is the data set management system for Hadoop that makes it easy. *Loom* provides tools to track the lineage and provenance of all registered HDFS data, and *Activescan* so that all of the critical information about data sets is collected dynamically. Read more.
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Ballroom H
Charles Zedlewski (Cloudera)
Cloudera, the standard for Apache Hadoop in the enterprise, empowers data-driven enterprises to Ask Bigger Questions™ and get bigger answers from all their data at the speed of thought. Cloudera Enterprise, the platform for Big Data, enables organizations to easily derive business value from structured and unstructured data to achieve a significant competitive advantage. Read more.
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Ballroom G
Priyank Patel (Teradata Aster)
Average rating: **...
(2.67, 3 ratings)
MapReduce, Hadoop, and other “NoSQL” big data approaches opened opportunities for data scientists in every industry to develop new data-intensive applications. But what about the more traditional SQL users or analysts? How can they unlock insights through standard business intelligence (BI) tools or ANSI SQL access? Read more.
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Ballroom H
Nick Kolegraff (Rackspace)
Average rating: ***..
(3.80, 5 ratings)
Data Science has created quite the movement in the data world, yet confusion between data science and analytics still remain across the enterprise. Rather than approach the subject talking about semantic differences between the two, we will discuss the topics as they relate to solving problems, how businesses are approaching them and what you can start doing with data science. Read more.
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Ballroom G
David Henry (Pentaho), Benjamin Lloyd (NetApp)
Attend this session to hear how NetApp was able to solve their big data problem. Since the design and implementation of the solution, NetApp has a number of takeaways and best practices required to convert theory into practice, allowing completion of an enterprise-level implementation of such a solution. Read more.
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Ballroom H
Mike Peterson (Neustar)
Learn how Neustar has expanded their data warehouse capacity, agility for data analysis, reduced costs, and enabled new data products. Discuss challenges and opportunities in capturing 100′s of TB’s of compact binary network data, ad hoc analysis, integration with a scale out relational database, more agile data development, and building new products integrating multiple big data sets. Read more.
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Ballroom G
Natasha Gajic (Rackspace)
Come learn about ACG, Analytical Compute Grid, a solution Rackspace built leveraging OpenStack, Big Data and NoSQL to help end users manage complex information and data. Read more.
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Ballroom H
Sanjai Marimadaiah (Hewlett Packard), Luis Maldonado (HP Vertica)
Learn how HP has established itself as the premier Big Data vendor with a solid portfolio of turnkey solutions that can be deployed faster than ever, while keeping acquisition and operational costs down. Learn more at hp.com/go/information. Read more.

Sponsors

Sponsorship Opportunities

For information on exhibition and sponsorship opportunities at the conference, contact Susan Stewart at sstewart@oreilly.com

Media Partner Opportunities

For information on trade opportunities with O'Reilly conferences contact Kathy Yu at mediapartners
@oreilly.com

Press and Media

For media-related inquiries, contact Maureen Jennings at maureen@oreilly.com

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