Hadoop

How in-Hadoop analytics are changing the game

Length: 7:28
February 24, 2014

Big Data without analytics is just data, but how do you perform the analytics? Christy Maver, product marketing manager for InfoSphere BigInsights, answers that question and gives examples of how in-Hadoop analytics are changing the game.

For more information about the IBM big data platform and products, visit www.ibm.com/bigdata.

For more podcasts, blogs, videos, infographics and other resources, visit www.IBMBigDataHub.com.

Data scientists: Hire an individual or team?

Length: 14:05
February 13, 2014

Most data science positions require a combination of technical and business skils. Gregory Piatetsky-Shapiro, the editor and publisher of KDnuggets.com, and a well-known expert in business analytics, data mining and data science, joined David Pittman to talk about that mix and the elusive “data scientist unicorn.” He also shared interesting findings from a poll he conducted on KDnuggets about what people look for when hiring data scientists. As his photo illustrates, he also demonstrated the evolution from data miners to data scientists.

For more information about the IBM big data platform and products, visit www.ibm.com/bigdata.

For more podcasts, blogs, videos, infographics and other resources, visit www.IBMBigDataHub.com.

Foretelling 2014 trends in big data, Hadoop, data science & more

Length: 18:05
January 5, 2014

What's in store for big data, analytics and data science in 2014? Big data evangelist James Kobielus walks us through what he sees shaping up in those areas, plus cognitive computing, machine learning, Hadoop, NoSQL and more.

Listen here or read the blog post that spurred this podcast.

For more information about the IBM big data platform and products, visit www.ibm.com/bigdata.

For more podcasts, blogs, videos, infographics and other resources, visit www.IBMBigDataHub.com.

Top 5 Big Data Use Cases

Length: 19:00
February 12, 2013

Conversations around big data are shifting from "what is big data?" to "what can I do with big data?" Five key use cases have emerged that hold high potential value for many organizations. Eric Sall, vice president of product marketing at IBM, describes those high-value uses for big data. For additional information on these five use cases, visit www.ibm.com/software/data/bigdata/use-cases.html

Debunking Big Data Myths

Length: 32:01
August 1, 2012

With so many conversations about big data, it is inevitable that there will be some mis-information and misunderstandings, some of which take on mythical proportions. James Kobielus, IBM big data evangelist, sets the record straight.