Hadoop and Open Source

Developing real-time applications through open source

Length: 17:44
July 13, 2014

IBM has a long and successful history with open source, from running Linux on IBM PCs to contributing initial codebase for Eclipse. We believe a mix of open source and closed source is the best way to drive adoption in the marketplace. Having the full support of a vendor like IBM can lower risk while open source can help achieve customer requirements. In this podcast, Mike Spicer, lead architect for InfoSphere Streams, talk about IBM’s latest contribute to open source—the new GitHub project from InfoSphere Streams.

Learn more about this project at github.com/ibmstreams. Also visit Streams Dev site for developers at developer.ibm.com/streamsdev

How SMBs are approaching big data analytics

Length: 17:54
July 7, 2014

Cloud, mobile, security, analytics and big data are all significant issues for IT organizations, and the landscape of each issue is rapidly evolving. While it’s difficult for organizations of all sizes to keep up with the changes, it’s especially challenging for small and midsize companies. Brian Beals and Steve Cavolick join us from Sirius Computer Solutions, an IT solutions integrator that provides infrastructure and software consulting and services. Brian and Steve shared some of their knowledge about how SMBs are approaching and solving these IT challenges.

Learn more about how Brian and Steve can help you at their company website, www.mysiriuszone.com and connect with them on LinkedIn.

Follow abreast of a wide range of issues affecting midsize companies at the MidsizeInsider.com

And for more information about IBM’s big data and analytics solutions, visit ibmbigdatahub.com.

Managing big data with SQL-on-Hadoop

Length: 13:23
June 1, 2014

The relational database world has decades of research and experience optimizing SQL access and providing the needed capabilities for mission critical environments. Now, new SQL-on-Hadoop offerings are popping up, which is helping IT departments leverage their existing expertise to move into the big data world.

Jennifer McGinn, product marketing manager for IBM big data, described the benefits of SQL-on-Hadoop and talked about what IBM BigInsights with its integrated Big SQL have to offer.

Learn more about InfoSphere BigInsights and try out the product with a free download at ibm.co/quickstart

To learn more about the technical side of Big SQL, download the Technical White Paper – “SQL-on-Hadoop Without Compromise” from bit.ly/bigsqlhadoop

Follow Jennifer on Twitter @JenMcGinnChi, and follow podcast host David Pittman @TheSocialPitt

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.

"Zone Architecture" model explains how big data fits into IT strategy

Length: 15:06
May 26, 2014

Conceptually, big data can be difficult for people to understand. If they can't fully understand it, then it's difficult for them to see how it fits into their strategic IT plans. To help explain the concepts behind big data and its place in IT infrastructure, IBM has developed a "Zone Architecture" built around five zones that relate to how organizations manage data and run analytics. Rick Clements, director of product marketing for IBM Big Data, described the Zone Architecture, as well as the use cases  and types of products typically used within each zone.

You can explore the big data zone architecture in an interactive infographic the lists use cases, provides product information, and shows videos of how clients are operating in each zone. 

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

Follow @IBMbigdata on Twitter and also follow podcast host David Pittman @TheSocialPitt.

Real-time analytics in the cloud

Length: 17:31
May 12, 2014

Cloud computing is gaining momentum, and for good reason. Some people consider it for overall IT cost savings, others are drawn to the promise of reduced capital expense and other people are looking to solve pressing IT issues. Kimberly Madia, product marketing manager for IBM big data, joined us to explain how cloud computing is enabling real-time analytics as a service, and what she sees developing in the area of “analytics everywhere.”

You can test out a free version of IBM InfoSphere Streams from ibm.co/streamqs and experiment with real-time analytics.

Follow Kimberly on Twitter @madiakc and follow our host, David Pittman, @TheSocialPitt.

For more information about the IBM big data platform and products, visit www.ibm.com/bigdataFor more podcasts, blogs, videos, infographics and other resources, visit www.IBMBigDataHub.com.

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.

Conquering culture clash: A new methodology for big data success

Length: 13:26
January 27, 2014

It's been said the "culture eats strategy for lunch." Tom Deutsch, program director of big data & advanced analytics at IBM, joined us to describe MVI—the minimum viable insight—which is an approach to conquering issues within internal culture and dynamics.

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.

Quick Start programs to get you up and running with big data

Length: 13:49
January 8, 2014

Hadoop for the Enterprise: Quick. Easy. Free. Get your hands on IBM’s enterprise-grade features to start experimenting with Hadoop today. InfoSphere BigInsights combines the power of Hadoop with enterprise-grade features including visualization & exploration, advanced analytics, and security & administration. InfoSphere BigInsights Quick Start Edition, the latest edition to the InfoSphere BigInsights family, is a free, downloadable, non-production version.

Download InfoSphere BigInsights Quick Start at www.ibm.com/infosphere/quickstart

InfoSphere Streams is an advanced computing platform that can quickly ingest, analyze and correlate information as it arrives from thousands of real-time sources. Because it can handle high throughput rates, InfoSphere Streams can analyze millions of events per second, enabling sub-millisecond response times and instant decision-making. Now you can get your hands on this technology with InfoSphere Streams Quick Start Edition, a free, downloadable, non-production version.

Download InfoSphere Streams Quick Start at www.ibm.com/infosphere/streams-quickstart

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.

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