Schedule: Sponsored Session sessions

Ballroom F
Please note: to attend, your registration must include Tutorials.
James Dixon (Pentaho), Chris Deptula (OpenBI)
The big data world is extremely chaotic based on technology in its infancy. Learn how to tame this chaos, integrate it within your existing data environments (RDBMS, analytic databases, applications), manage the workflow, orchestrate jobs, improve productivity and make using big data technologies accessible to a much wider spectrum of developers, analysts and data scientists. Read more.
Ballroom F
Please note: to attend, your registration must include Tutorials.
Richard Taylor (HPCC Systems from LexisNexis Risk Solutions)
While extracting entities from massive amounts of text is a major problem, a proven solution exists. This tutorial will demonstrate a natural language parsing technology to extract entities from all kinds of text using massively parallel clusters. Read more.
Ballroom G
Billy Bosworth (DataStax)
In this panel discussion, DataStax CEO BIlly Bosworth will moderate a discussion that will spotlight real mission critical Big Data use cases from "hands-on" practitioners. With companies like Walmart, Netflix, & Apigee among many others adopting Apache Cassandra and other new database technologies, there's never been a more exciting time to be building data intensive applications. Read more.
Ballroom H
Eddie Satterly (Splunk), Sanjay Mehta (Splunk)
In this session, Expedia, one of the world’s leading online travel companies, describes how they tapped into their massive machine data to deliver unprecedented insights across key IT and business areas – from ad metrics and risk analysis, to capacity planning, security, and availability analysis. Read more.
Ballroom G
Mike Maxey (Greenplum), Katrin Ribant (Havas Digital), Jeff Carey, Keaton Adams (McAfee)
Average rating: **...
(2.50, 2 ratings)
The race is on to create the next competitive advantage. Attend this customer session for a brief introduction to Greenplum’s Big Data Analytics platform. Read more.
Ballroom H
Alexander Stojanovic (Microsoft), Martin Hall (Karmasphere), Eric Baldeschwieler (Independent)
Microsoft's Big Data solution turns signals into information. Learn how Microsoft's Hadoop service and rich BI capabilities can drive your business forward. Read more.
Ballroom G
Moderated by:
Jim Tommaney (InfiniDB)
Fernanda Foertter (Genus plc)
Advances in columnar databases are creating bio-science opportunities that were previously not possible. Fernanda Foertter and the team at Genus discovered an innovative way to store and access the huge volumes of data being generated modeling genotypes. She and Jim Tommaney discuss the benefits of column storage and how InfiniDB’s Map Reduce empowers high performance Big Data analytics. Read more.
Ballroom H
Carter Shanklin (VMware), Jags Ramnarayan (Vmware)
Today's users won't tolerate slow applications. More often than not, the database is the bottleneck in the application. Learn how VMware vFabric SQLFire can give you the speed and scale you need in a substantially simpler way. SQLFire is a memory-optimized and horizontally-scalable distributed SQL database. Attend this session to learn how SQLFire gives high performance without the complexity. Read more.
Ballroom G
Swaminathan Sivasubramanian (Amazon Web Services)
Running large scale datastores requires us to handle various challenges such as scalability, reliability, performance, and reduced operational overhead. In this talk, we will discuss how Amazon DynamoDB was designed to address these problems. Read more.
Ballroom H
Tasso Argyros (‎ActionIQ)
This session will explore a new class of analytic platforms and technologies such as SQL-MapReduce® which bring the science of data to the art of business. By fusing standard business intelligence and analytics with next-generation data processing techniques such as MapReduce, big data analysis is no longer just in the hands of the few data science or MapReduce specialists in an organization! Read more.
Ballroom G
Rohit Valia (Platform Computing)
This session looks at the requirements for a multi-tenant big data cluster: one where different lines of businesses, different projects, and multiple applications can be run with assured SLAs, resulting in higher utilization and ROI for these clusters. Read more.
Ballroom H
Tim Estes (Digital Reasoning)
Average rating: *****
(5.00, 1 rating)
Data Scientists must deal with many Big Data challenges including volume, velocity and variety of data. These challenges require a new solution - Automated Understanding - a new evolution in software. In this session Tim Estes will show the power of this new capability on a large and valuable dataset that has never been deeply understood by software before. Read more.
Ballroom G
Arun Murthy (Cloudera )
This presentation will cover the next generation of Apache Hadoop, known as hadoop-0.23. Learn how MapReduce has been re-architected by the community to improve reliability, availability and scalability as well as adding support for alternate programming paradigms. Also learn about HDFS Federation, which allows for significant scalability improvements, as well as other important advancements. Read more.
Ballroom H
Gary Dusbabek (Rackspace)
Monitoring thousands of servers generates a lot of data. Many organizations trying to harness enormous amounts of data struggle with the same types of challenges as the Rackspace cloud monitoring team. Find out how Rackspace uses NoSQL technology, distributed concepts, and open source software in novel ways to produce a multi-region cloud monitoring API. Read more.
Ballroom H
Nick Halstead (DataSift)
Nick Halstead CTO of DataSift will talk about Hadoop, HBase and dealing with storing and processing a billion tweets every 3 days. You will get insights into the architecture, pitfalls and real-world lessons on using Big Data technologies. Read more.
Ballroom G
David Miller (LexisNexis)
In this session, attendees will learn about a new method for solving big data analytics via HPCC Systems, an open-source enterprise proven platform for Big Data. A case study will be given using patent data to demonstrate how big data can be process, linked, analyzed, searched and delivered to answer various queries. Read more.
Ballroom G
Alexander Gray (Skytree, Inc.)
Average rating: ***..
(3.50, 2 ratings)
Machine learning (ML) holds the key to the most advanced uses of big data. But is ML really possible on big data with state-of-the-art methods, or just simple ones? Can ML really be done in real time today? Is MapReduce the right answer? The cloud? I will review the current state of ML technology both at the research level and the industry-readiness level, and current best solution options. Read more.
Ballroom H
Gary Lang (MarkLogic)
Average rating: *....
(1.00, 1 rating)
Gary Lang, Senior VP Engineering, MarkLogic, will discuss the concept of Big Data Applications and walk through three in-production implementations of Big Data Applications in action. Read more.
Ballroom G
Vineet Tyagi (Impetus Technologies)
The session will talk about costs involved in Big Data projects, covering the apparent and also hidden aspects of these costs. It will also discuss how to build a Big Data solution with lower cost of “per TB Data Managed and Analyzed”. Read more.
Ballroom H
Max Yankelvich (Crowd Computing Systems, Inc.)
Average rating: ***..
(3.00, 2 ratings)
There’s a big opportunity for big data: human processing. Max Yankelevich explores the latest innovations combining the scalable quality control of artificial intelligence with the scalable human judgment of crowdsourcing to solve big data problems. Learn the surprisingly easy methods to leverage the crowd to collect, control, validate and enrich data. Read more.


  • EMC
  • Microsoft
  • HPCC Systems™ from LexisNexis® Risk Solutions
  • MarkLogic
  • Shared Learning Collaborative
  • Cloudera
  • Digital Reasoning Systems
  • Pentaho
  • Rackspace Hosting
  • Teradata Aster
  • VMware
  • IBM
  • NetApp
  • Oracle
  • 1010data
  • 10gen
  • Acxiom
  • Amazon Web Services
  • Calpont
  • Cisco
  • Couchbase
  • Cray
  • Datameer
  • DataSift
  • DataStax
  • Esri
  • Facebook
  • Feedzai
  • Hadapt
  • Hortonworks
  • Impetus
  • Jaspersoft
  • Karmasphere
  • Lucid Imagination
  • MapR Technologies
  • Pervasive
  • Platform Computing
  • Revolution Analytics
  • Scaleout Software
  • Skytree, Inc.
  • Splunk
  • Tableau Software
  • Talend

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