Device data is everywhere. On our phones, energy meters, medical devices, hard drives, routers, and more. Just gathering and storing this data can be a very difficult big data challenge in itself. Join Ryan in this technical discussion about the typical needs of customers with device data and how Think Big uses technologies like Hadoop, Cassandra, HBase, and Solr to bring real time search to Big Data.

Big Data Innovation is the largest gathering of Fortune 500 business executives leading Big Data initiatives.

Think Big Analytics’ Rick Farnell goes live inside theCUBE with Wikibon’s Jeff Kelly to discuss the role of professional services in Big Data and Hadoop environments. Farnell explains his approach to bridging the IT/Business divide for successful, long-term Big Data deployments.

This webinar walks you through essential steps of identifying your business goal and then building the right infrastructure to support it. We will provide use cases of the types of data that should be collected and the real-time, predictive or insightful analytic applications needed to ensure success.

Devices are generating invaluable data that should be captured and analyzed in order to gain consumer insight, predict failure and improve operational efficiencies. Join us for this webinar and hear examples of how to combine device data analytics with new or existing data sets to exceed business goals.

This 45 minute webinar defines Dimensionality Reduction and how it can benefit you in certain situations. We will also discuss dimensionality reduction terms such as SVD, LSA, pLSA and MinHash, including what these terms have in common, how they differ and when it’s appropriate to use which. The course is relevant for modelers, business intelligence and technical developers.

Join Ann and Ron for a discussion titled, “Analytics at NASDAQ Scale”, which will cover how one of the world’s leading financial exchanges is using Big Data to support business goals. 

This presentation will give a quick refresher on Storm concepts, however most of the time will be spent discussing a recent project where Storm was a critical part of implementing a predictive analytics use case for an actual customer. Douglas Moore will cover lessons learned, best practices, technical overview of the use case (Storm, Hadoop, EMR and R) and more. 

This webinar provides an overview of H Base, how to set up an H Base cluster on EMR, sample code and more. You’ll learn about optimal conditions for H Base and also about Amazon Web Services’ EMR offering.

A connected world, brimming with data and fueled by near-limitless computing power, is changing everything about how we live, love, work, and play. It’s a change that offers tremendous opportunity—to transform business, end corruption, teach the world, and help society tackle its biggest challenges.

Please join Ron Bodkin, CEO of Think Big Analytics, in a discussion about how leading technology companies are using Big Data to stay ahead of the competition and exceed their business goals. Ron will discuss real-world use cases, including the new technologies and techniques that were used to generate the desired results. 

R and Hadoop are changing the way organizations manage and utilize big data. Join us as Jeffrey Breen explains the core technology concepts and illustrates how to utilize R and Revolution Analytics’ RevoR in Hadoop environments.

This webinar covers how customers use AWS to build Big Data and Big Analytics solutions. Included in this conversation are case studies of financial services companies using Big Data today.

This webinar discusses the essentials of a Big Data architecture and how technologies are being used to influence different decisions. We will also discuss the skills and processes required to make a successful implementation work. 

Jeff Kelly is Principal Researcher at Wikibon and has deep experience in big data, business analytics and data management. He tops Forbes list of “Top Influencers in Big Data” and we invite you to join Jeff in a discussion about the business value of using technologies like Hadoop and MapReduce.

Consumer habits change fast. So, providing a great customer experience means that your marketing campaigns, apps, and sites must change fast too. Unfortunately, marketing teams, advertising technology companies, and marketing agencies are often constrained by long IT lead times, out-of-date software, and high costs.

Google, Yahoo, and Facebook are well known for their investments in big data. These amazing leaders use a platform called Hadoop to create value from the petabytes of data they are gathering. In this webinar, you will learn about Hadoop and how you can find the best use case for your own big data project.

Dean Wampler, Ph.D., Principal Consultant at Think Big Analytics and the co-author of Programming Hive, will discuss several Hive techniques for managing your data effectively and optimizing the performance of your queries.

O’Reilly’s Strata Conference brings together the leading minds in big data: the decision makers using the power of big data to drive business strategy as well as the practitioners who collect, analyze, and manipulate the data.