Waiting for Hadoop (w/ apologies to Samuel Beckett)
Research VP, Information Management, Gartner, Inc.
During 2013, Hadoop made a fundamental and long-promised transition from a highly scalable blunt instrument for cost-effective processing of massive volumes of data in a file system. Today, it’s much more, and promises for what can be built on the foundation of Hadoop 2.0 are already raising the bar dramatically on expectations. Some will not be met for a while. What’s being delivered now, and how will you leverage it? Gartner research examines Hadoop’s changing role, use cases already deployed, the evolution of the commercial distribution landscape and the potential for the technology.
Transforming data into action using Hadoop, Excel, and the Cloud
Corporate Vice President, Microsoft
Big data. Small data. All data. You have access to mountains of data from inside the walls of your business and across the web. We’ve all seen the potential in data – from predicting election results, to preventing the spread of epidemics. The question is… How can you use your data to help move your business forward? Join Quentin Clark, Microsoft Corporate Vice President, to learn how to transform data into action using Hadoop, Excel and the Cloud.
Unlocking Hadoop’s Potential
Founder and Architect at Hortonworks, Former VP Apache Hadoop at Apache Software Foundation
Abstract: Hadoop has come a long way from its humble roots as a web-scale, batch-only data processing system. In 2013m the release of Hadoop 2 and its YARN-based architecture unleashed a wave of interactive and realtime use cases capable of running natively in Hadoop. YARN, acting as Hadoop’s data operating system, enables you to say goodbye to data silos and say hello to an era where Hadoop acts as a shared, multi tenant service supporting a wide range of batch, interactive, and realtime use cases aimed at delivering business value from a centralized and shared data set. In this talk Arun Murthy will share the very latest innovation from the community aimed at accelerating the interactive and realtime capabilities of enterprise Hadoop.
How Big Data Boosts the Network (and other stories from AT&T)
Senior VP for Big Data, AT&T
Running one of the world’s largest networks is a complex task. AT&T analyzes millions of data points per minute, triggering hundreds of thousands of adjustments to optimize our network and services. In the past, when Big Data technology did not exist to support these operations, we created it. Now we are embracing Hadoop, and we are adding to its ecosystem by contributing some of our technology into open source. These include tools for easier visualization and analytics. Network may have been the start, but it’s not the whole picture. We are using our expertise to support internal and external use cases that can be creative and surprising.
Enterprise Hadoop for Pools, Ponds, Lakes, Clouds and Beyond
VP Corporate Strategy
Abstract: Data has disrupted the datacenter driving an architectural shift with Apache Hadoop playing a key role. As more and more applications are created that derive value from the new types of data from sensors/machines, server logs, clickstreams, and other sources, the enterprise “Data Lake” forms with Hadoop acting as a shared service for efficiently delivering deep insight across a large and diverse set of data at scale. While these Data Lakes are important, a broader lifecycle needs to be considered that spans development, test, production, and archival and that is deployed across a hybrid cloud architecture. During this session Shaun Connolly, VP of Strategy for Hortonworks, will talk through a vision of enterprise Hadoop that powers a connected lifecycle of workloads and of data clouds, ponds, lakes, glaciers and more that enable businesses to democratize sets of data for their user communities in a flexible and prescriptive manner.
Hadoop and Analytics 3.0
Thomas H. Davenport
President’s Distinguished Professor of Information Technology and Management, Babson College
Online startups often have no legacy infrastructure to wrestle with and can adopt Hadoop as their primary data management platform from the beginning. But large, established organizations have to integrate Hadoop with an existing architecture. In this presentation, Tom Davenport will describe a “Big Data in Big Companies” study of 20 large organizations that are pursuing big data projects, most with the aid of Hadoop. He’ll discuss “Analytics 3.0,” a collection of analytical activities that involve pursuing both big and small data on Hadoop and other platforms. He will describe both the technology, culture, and processes that these organizations employ, and will provide examples of several organizations that have already achieved substantial business value from Hadoop-enabled Analytics 3.0
Panel: Looking to the Past to Define a Future for Hadoop
Moderator: Jeff Kelly
Principal Research Contributor, Wikibon
The rate of innovation in and around Apache Hadoop is astounding and at times complicated and unwieldy. Where is this headed long term? What’s at the edge of the horizon that we can expect? We’ve asked industry pundit Jeff Kelly from Wikibon to hold a discussion with two of the original visionaries for Apache Hadoop, Doug Cutting and Arun Murthy, about what they see on the horizon for Hadoop.
Doug Cutting, Founder Apache Hadoop / Chief Architect, Cloudera
Arun Murthy, Apache Hadoop PMC member / Founder, Hortonworks
Big Data Analytics at Massive Scale
Senior Vice President, Software, Teradata Labs
The expanding diversity of analytic requirements has driven advancements in Hadoop, Analytics, SQL and NoSQL engines. According to Gartner, the Logical Data Warehouse is the new data management architecture for analytics which combines the strengths of data warehouses with alternative data management and access strategies that form the new best practice by the end of 2015. In order to orchestrate analytical platforms across a layered data architecture, the industry needs greater abstractions for the user community that isolates them from the growing complexity of specialized engines. Big Data Analytics must be executed in an agile, scalable and frictionless environment with minimal programing.
Enterprise Hadoop and the Open Hybrid Cloud
Senior Vice President, Infrastructure Business Group, Red Hat
Enterprises expect Hadoop to provide faster time to results and lower total cost of ownership while maintaining the rapid innovation and flexibility of an open source community. Red Hat and Hortonworks are integrating our products into big data solutions for a seamless customer experience. Come learn about several modern data architectures that bring Apache Hadoop to the open hybrid cloud.
Hadoop Intelligence – Scalable machine learning
Chief Architect, Yahoo!
This talk will cover how Yahoo is leveraging Hadoop to solve complex computational problems with a large, cross-product feature set that needs to be computed in a fast manner. We will share challenges we face, the approaches that we’re taking to address them, and how Hadoop can be used to support these types of operations at massive scale.
Levering Big Data to change your world
Solution Marketing, Big Data, SAP
Big Data is changing our world, society, businesses and lives unlike anything before. New insights transform the way we do business, work and live our lives. To compete you need the instant results, infinite storage and data exploration you get with SAP and Hadoop. This powerful, highly distributed, elastic platform delivered by SAP HANA platform for Big Data and Hadoop enables business and changes lives by powering genomic analysis and research. Hadoop and SAP technologies are complementary in the modern data architecture and together amplify the value of Big Data helping you gain unprecedented business value.
Panel: Hadoop in the Entperprise
In this session, join our panelists as they discuss their journey with Hadoop from proof of concept to production. They will explore and discuss the business impact of Hadoop, share the challenges they experienced, solutions they found and highlight key lessons you can use in your organization.
Venkat Achanta, SVP/Global Head of Analytics and Big Data at AIG
David Gleason, Head of Data Strategy at BNY Mellon
Ratnakar Lavu, SVP of Commerce at Kohl’s
Chris Dingle, Sr. Director of Audience Solutions at Rogers Media Inc.
Anu Jain, Group Manager of Strategy and Architecture at Target
John Williams, SVP of Platform Operations at TrueCar
Daljit Rehal, Strategic Systems Director, British Gas