Strata Sponsored Sessions

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.

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.

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.

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.

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.

Maximize the value of data stored in Hadoop via operational and ad-hoc reporting, highly interactive analysis, advanced visualizations and dashboards Read more.

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.

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.

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.

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.

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.

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.

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.

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.

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.

This session explores the benefits and implications of virtualizing Hadoop and highlights several VMware initiatives aimed at bridging Hadoop and virtualization. Read more.

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.

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.

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.

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.

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.

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.

Details to come... Read more.

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.