Strata Sponsored Sessions

Sponsored, Grand Ballroom (NY Hilton)
Ben Werther (Platfora)
Average rating: ***..
(3.20, 20 ratings)
Hadoop is scalable, inexpensive and can store near-infinite amounts of data. But driving it requires exotic skills and hours of batch processing to answer straightforward questions. Learn how everything is about to change. Read more.
Sponsored, Grand Ballroom (NY Hilton)
Annika Jimenez (Pivotal), Anthony Goldbloom (Kaggle)
Average rating: **...
(2.33, 18 ratings)
Data science is a team sport. Collaboration inside and outside your organization is the ultimate Big Data technique. Success depends on having a collaboration platform and solving the number one problem of the Big Data era: the supply and demand for data scientists. Learn how you can take action today to accelerate the success of your data science efforts. Read more.
Sponsored, Grand Ballroom (NY Hilton)
James Markarian (Informatica)
Average rating: **...
(2.54, 13 ratings)
Data integration for Big Data projects can consume up to 80% of the development effort and yet too many developers reinvent the wheel by hand-coding custom connectors, data parsers, and data integration transformations. A metadata-driven, codeless IDE with pre-built transformations and data quality rules have proven to be up to 10X more productive than hand coding and easier to maintain. Read more.
Sponsored, Nassau (NY Hilton)
PayPal utilizes Hadoop as a cost-effective data platform to handle growing data volumes. Hadoop along with other traditional data platforms serves different business needs at PayPal for customer sentiment analysis, fraud detection, market segmentation, etc. PayPal will share some early experiences with Informatica on Hadoop to move & integrate data on Hadoop & between different data platforms Read more.
Sponsored, Regent Parlor (NY Hilton)
Tomer Shiran (MapR Technologies), Jack Norris (MapR Technologies)
Average rating: ***..
(3.67, 3 ratings)
Google pioneered the use of the MapReduce framework and inspired the creation of Hadoop through their 2004 white paper. To understand the future of Hadoop and the future of Big Data, it’s important to understand how Google processes and analyzes Big Data internally. Read more.
Sponsored, Regent Parlor (NY Hilton)
Average rating: ***..
(3.00, 6 ratings)
This presentation provides an overview of how to comprehensively address big data, including emerging strategies for information management, analytics, and high performance computing. Read more.
Sponsored, Nassau (NY Hilton)
David Jonker (SAP)
Average rating: ***..
(3.00, 1 rating)
Opposites attract and that’s the case with Hadoop and Enterprise Data Warehouses. Both have a role to play in your Big Data projects. This session explores the various approaches to marrying Hadoop to your EDW, and why you’ll want to do that in the first place. Read more.
Sponsored, Regent Parlor (NY Hilton)
Shawn Bice (Microsoft)
Average rating: *****
(5.00, 4 ratings)
Big Data is attracting strong interest from technologists and business users alike. Yet few organizations can actually reap the benefits of Big Data today because the barriers to entry are still too high. Existing tools are complex and require deep expertise in Hadoop and Data Analysis that are both in short supply. Read more.
Sponsored, Nassau (NY Hilton)
Richard Daley (Pentaho Corporation)
Maximize the value of data stored in Hadoop via operational and ad-hoc reporting, highly interactive analysis, advanced visualizations and dashboards Read more.
Sponsored, Regent Parlor (NY Hilton)
Greg Khairallah (Intel), Vin Sharma (Intel)
Average rating: **...
(2.50, 2 ratings)
Over the next decade, organizations will need to absorb, analyze, and act upon 50 times more data than they do today. To do this, they will need a scalable infrastructure that can support data-driven discovery and decision-making in real-time. Read more.
Sponsored, Nassau (NY Hilton)
Gary Dusbabek (Rackspace)
Average rating: ***..
(3.50, 4 ratings)
Monitoring thousands of servers generates a lot of data. Many organizations trying to harness the power of big data struggle with the same types of challenges as Rackspace's Cloud Monitoring team. Read more.
Sponsored, Regent Parlor (NY Hilton)
Roy Pea (Stanford University), Stephen Coller (Bill and Melinda Gates Foundation), H. Taylor Martin (Utah State University), Ken Koedinger (Carnegie Mellon)
Kicking off with an Ignite-style presentation on the growing importance of our topic, this panel will feature multiple perspectives on what K-12 education can learn from Big Data efforts underway in other industries Read more.
Sponsored, Nassau (NY Hilton)
Patrick Shumate (Comcast Cable), Raanan Dagan (Splunk)
Average rating: ***..
(3.50, 4 ratings)
How do you keep up with the velocity and variety of data streaming in from the operational systems that power your business? What about getting analytics on your data even before you persist and replicate it? Read more.
Sponsored, Regent Parlor (NY Hilton)
Rob Metcalf (Digital Reasoning), Laks Srinivasan (Opera Solutions)
This presentation will provide a detailed understanding of the latest techniques in entity resolution and simplified training of machine learning models and the direct impact on the quality of a comprehensive predictive analytics solution. Specific use cases in the financial services and intelligence communities will be featured. Read more.
Sponsored, Nassau (NY Hilton)
Jacob Rapp (Cisco Systems), Eric Sammer (ScalingData)
Average rating: *****
(5.00, 2 ratings)
In this joint session, experts from Cisco and Cloudera reveal the fundamental design considerations of Hadoop in the Enterprise Data Center. Drawing from lessons learned in the real world, they'll share best practices from deployments of Cloudera's Hadoop distribution alongside Cisco's networking components. Read more.
Sponsored, Grand Ballroom (NY Hilton)
John Schroeder (MapR Technologies)
Average rating: ***..
(3.50, 2 ratings)
This session will provide 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.
Sponsored, Grand Ballroom (NY Hilton)
Paul Kent (SAS)
Average rating: ****.
(4.25, 4 ratings)
In this rapid-fire keynote, we’ll introduce how virtually every new technology trend is inextricably linked – or should be to attain maximum leverage. We’ll discuss how you can use technologies such as cloud and mobility to spread the value of analytics pervasively across your virtual organization, and how that positively impacts your employees, customers and partners. Read more.
Sponsored, Grand Ballroom (NY Hilton)
Irfan Khan (SAP)
Average rating: ***..
(3.33, 6 ratings)
You need more than a database 'hammer' for today's Big Data projects. Organizations need a 'data platform' providing integrated tools to capture, store, process and present data. Without it companies can achieve - volume, velocity, or variety - but not all three. Join us to learn the extreme capabilities needed to distill new business signals from big data. Read more.
Sponsored, Regent Parlor (NY Hilton)
Mike Maxey (Greenplum)
Average rating: **...
(2.00, 1 rating)
Join us for a live demonstration of how you can leverage a data science platform, an open-source model, internal and external data, analytics tools, and visualization using Hadoop. See how unprecedented access to data scientists can deliver entirely new levels of insight to push the boundaries of what’s possible. Find out what you can do NOW to move your data science efforts forward. Read more.
Sponsored, Nassau (NY Hilton)
Peter Schlampp (Platfora)
Richard Just, Big Data Program Manager at Capital One Labs, will share his experience using Hadoop and Platfora software to analyze several aspects of their business, including the adoption of their mobile application. The final solution produced an interactive, self-service web-based BI access to the data. Read more.
Sponsored, Regent Parlor (NY Hilton)
Paul Groom (Kognitio)
Average rating: *....
(1.00, 1 rating)
Business users' attitude to data is changing rapidly – remember when building an EDW was all consuming? Now Big Data is edging the EDW to the side or likely into obscurity. Is this good or bad? How do you bring the values and software investment surrounding the EDW to the wild west of Big Data? Read more.
Sponsored, Nassau (NY Hilton)
This session explores the benefits and implications of virtualizing Hadoop and highlights several VMware initiatives aimed at bridging Hadoop and virtualization. Read more.
Sponsored, Regent Parlor (NY Hilton)
Val Bercovici (NetApp)
Average rating: *****
(5.00, 1 rating)
Hadoop continues to climb the IT hype cycle. Along the way, plenty of truth, myth and folklore has been created around Hadoop's business capabilities and technical infrastructure requirements. Come hear NetApp’s real-world discoveries about Hadoop and find out what myths need retiring, as well as which truths need uncovering. Read more.
Sponsored, Nassau (NY Hilton)
George Mathew (Alteryx, Inc.)
The convergence of Analytics and the Cloud creates an interesting opportunity to solve many Big Data challenges that were previously untenable. Alteryx has historically served retailers and consumer brands on optimizing merchandising and store operations decisions with its Strategic Analytics product. Read more.
Sponsored, Regent Parlor (NY Hilton)
Rohit Valia (IBM)
New techniques like Hadoop are leading the way to provide a scalable and cost effective solution. This session reviews the technical requirements for a low latency multi-tenant 'big-data' cluster - one where different lines of business and multiple applications can be run with assured SLAs, resulting in higher ROI for these clusters. Read more.
Sponsored, Nassau (NY Hilton)
Chris Selland (HP Vertica), Jerome Levadoux (Autonomy)
Big data is everywhere, and it is increasingly complex and growing quickly, rendering manual and legacy approaches obsolete. Organizations can only realize the business value of big data with a meaning based platform technology that automatically understands all data, structured and unstructured, in real time. Join this session to learn more about Big Data and the technologies around it. Read more.
Sponsored, Regent Parlor (NY Hilton)
Russ Kennedy (Cleversafe)
Average rating: ***..
(3.00, 2 ratings)
This session will delve into the MapReduce computation paradigm, introduced by Google and widely adopted via the open-source Hadoop platform, combined with commodity hardware to execute computation at the storage node where data exists. Read more.
Sponsored, Nassau (NY Hilton)
Yekesa Kosuru (Nokia), Jim Tommaney (InfiniDB)
Average rating: *****
(5.00, 1 rating)
Nokia’s Big Data analytics service is a strategic multi-tenant, multi-petabyte platform that executes 10,000 jobs each day. It is made up of technologies that provide location content processing, ETL, ad-hoc SQL, dashboards and advanced analytics, including Calpont InfiniDB for SQL, Scribe, REST, Hadoop, and R. This talk discusses the platform, motivations behind design choices, and challenges. Read more.
Sponsored, Nassau (NY Hilton)
Steven Hillion (Alpine Data Labs)
It's not easy doing predictive analytics on Hadoop, with few tools that make it easier or more scalable than writing code from scratch. Join us to discuss a new paradigm that addresses the need for a scalable, powerful solution – one that is purpose-built for Big Data yet is easy to use – illustrated by a demonstration of predictive analytics run on the largest public Hadoop cluster in the world. Read more.

Sponsors

Sponsorship Opportunities

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

Media Partner Opportunities

For information on trade opportunities 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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