Big data communities
Chris Nott shares his observations on how organizations are using
analytical insight from business transactions to influence customer
interactions at the time they are occurring.
Read his blog
This week, Bernard Marr, founder and CEO of the U.K.-based Advanced
Performance Institute — one of the world's leading
research and advisory organizations on organizational performance
— talks about the "datafication" of the world. Listen
as he gives advice on how to form a big data analytics strategy and
what to look for in a data scientist. (20:58)
On topics ranging from NoSQL, MongoDB, and big data in the cloud, this
blog highlights topics being discussed in other venues and includes
specific instructions on using custom file formats with InfoSphere
Read her blog
Hear from the experts
Find out how the IBM PureData System for Hadoop can help you and your customers rapidly deploy enterprise-class Hadoop. Jan Shineman, who manages the IBM ISV alliance program for IBM PureData System for Hadoop and IBM PureData System for Analytics; and John Skier, IBM expert on database management systems, talk about this new expert integrated system. The speakers will cover the use cases, technology, and integration scenarios that enable ISVs to penetrate the growing Hadoop market.
How do you start your big data journey? How do you get your arms around all of the data you have, figure out how it is being used, and leverage it for tangible business benefits? The speaker, Stacy Leidwinger, is the senior product manager for the InfoSphere Data Explorer product line and supports IBM's big data solutions. See the presentation. Follow Stacy on Twitter (@StacyLeidwinger).
Get an intro to InfoSphere Streams, an advanced computing platform that allows user-developed applications to ingest, analyze, and correlate information quickly as it arrives from thousands of real-time sources. The solution can handle very high data throughput rates: up to millions of events or messages per second. Download the presentation (PDF).
In this introduction to the IBM big data platform, hear about bringing big data to the enterprise with InfoSphere BigInsights, InfoSphere Streams, and Data Explorer. Content is introductory to intermediate technical level. Download the presentation (PDF).
Studies show that organizations that apply analytics outperform their peers. And those organizations with a high analytics quotient -- that is, a broad-based analytics-driven culture -- perform, on average, three times better. The speaker, Jack Esselink, is the Business Analytics Evangelist at IBM. Follow him on Twitter (@esselinj). Download the presentation (PDF).
What is big data?: Even the experts admit the term "big data" is a bit of a misnomer, but it's a term that's here to stay. Wondering what it's all about? Expert Paul Zikopoulos gives you the low-down in this video series. (17:46)
Getting started with BigInsights: Ever wondered how to get started analyzing big data? Adam Locke walks you through a conceptual model he built to help you understand the people and tasks needed to get started with your first big data project. (5:42)
Big Data and Hadoop -- A perspective from IBM Research: John McPherson, IBM Research Distinguished Engineer, introduces the Hadoop platform, including the big data ecosystem, use cases, and aspects of big data on which IBM researchers are focusing. (15:57)
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Communities bring together thousands of like-minded professionals from around the world. Explore technical discussions, software solutions, and development expertise from across the big data suite of products. Big data communities are some of the best ways to enhance your personal and professional development, increase efficiencies in your organization, and position yourself as a thought leader in your field of interest.
Get connected with technical experts by following on Facebook, Twitter, YouTube, and other social networks to stay up on the latest IBM news and information that's important to you.
Join developers, data scientists, and other big data enthusiasts to get jump-started with Hadoop scripting and analytics, and to work hands-on with the solutions and tools in the IBM big data platform.