Technology

Gaining an advantage from information management

Length: 20:27
August 18, 2014

William McKnight is founder of McKnight Consulting Group, which focuses on helping clients solve business problems using proven, streamlined approaches in information management. He is also the author of a new book titled, "Information Management: Strategies for Gaining a Competitive Advantage with Data."

William talked about the value that many companies are leaving behind by not making the most of their data, and he gave advice on how organizations can become more agile—both in their methodology and mindset.

Follow William on LinkedIn and Twitter (@williammcknight) and on his blog. Follow podcast host David Pittman on Twitter @TheSocialPitt.

To learn more about IBM big data & analytics, visit www.ibmbigdatahub.com, where you’ll find podcasts, videos, blogs and more. 

Infrastructure imperatives for advanced analytics

Length: 26:45
August 4, 2014

Organizations today are increasingly dependent on analyzing large volumes of data for strategic and operational decisions—and doing it in a timely fashion. As C-suite executives come to rely on advanced analytics, the importance of a robust IT infrastructure cannot be overstated. Adrian Bowles, founder of STORM Insights, a research and market intelligence firm, conducted research for IBM and documented his findings in a white paper titled “An Executive Guide to Analytics Infrastructure Imperatives for Advanced Analytics.” He has joined us today, along with Rick Perret, IBM’s global marketing leader for big data and analytics infrastructure, to discuss the research he conducted.

Download the complete white paper, “An Executive Guide to Analytics Infrastructure Imperatives for Advanced Analytics

Follow the IT Infrastructure Conversation

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. Follow podcast host David Pittman @TheSocialPitt.

The first ever Forrester Wave for streaming analytics

Length: 13:38
July 21, 2014

Going, going...gone! That phrase has been used by auctioneers to indicate the final bid opportunity for a hot auction item. Now “going, going, gone” is being used in the world of big data. Why? Organizations realize that they need to act faster by analyzing streaming data and taking action in the moment. Streaming analytics identifies opportunities in real time that would be missed using traditional analytic models that require storing, cleaning and querying data.

Is there a business opportunity hiding in your fast moving big data? The answer is yes and the time to act is now. In fact, to quote from new Forrester Wave: Big Data Streaming Analytics Platforms, “The velocity of business demands streaming analytics.” To help you understand fast moving data, Roger Rea joins us to discuss the streaming analytics market and the results of this first-ever Forrester report on streaming analytics platforms.

If you want to learn more about real-time computing, visit www.ibmbigdatahub.com, where you’ll find podcasts, videos, blogs and more.

Developers who want to learn more about InfoSphere Streams should join the StreamsDev community - for developers by developers! Also download IBM InfoSphere Streams Quick Start - ibm.co/streamsqs

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.

Juggler or high diver: How do you work in real time?

Length: 16:44
June 16, 2014

If you take a quick glance at any technology publication (and many business publications as well) you will likely see some reference to real-time. There’s real-time customer service, real-time marketing, real-time analytics and the list goes on. But what does real time mean? Is there a standard definition? Should there be?

Roger Rea, product manager for IBM InfoSphere Streams, joined host David Pittman to share the surprisingly long history of "real-time computing," and explain how to tell if you are a juggler or a high diver when it comes to real-time analytics.

If you want to learn more about real-time computing, visit www.ibmbigdatahub.com, where you’ll find podcasts, videos, blogs and more. Developers who want to learn more about InfoSphere Streams should join the StreamsDev community for developers by developers! https://developer.ibm.com/streamsdev/ and download IBM InfoSphere Streams Quick Start: ibm.co/streamsqs

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.

Obliterate the wait with more agile database technologies

Length: 14:55
May 19, 2014

Databases have been around for decades, but suddenly there’s renewed interest in database technology. Nancy Hensley, director of marketing and strategy for databases and database systems at IBM, joined the show to explain what is happening in the industry to drive this interest. She also described recent developments such as BLU Acceleration in-memory computing and hybrid database architectures that run in the cloud and help "obliterate the wait." Hensley shared some clients that are using these faster, more agile technologies to lower costs and be more productive. 

Follow Nancy on Twitter (@nancykoppdw) and follow podcast host David Pittman (@TheSocialPitt).

For more information about IBM DB2 with BLU Acceleration, visit www.Ibmbluhub.com where you can download the product and join the BLU for Cloud beta.

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

It must be big data's fault

Length: 11:14
May 16, 2014

Some people mistakenly blame big data for failures in their results. If the outcome is bad, it must be big data’s fault, right? Wrong!

You can have the right data and get the analytics wrong. You also need to know how to apply results and take action on them. You can have all of the right data and run the right analytics, but if you don’t feed the results back into your operational processes, you won’t be fully leveraging the data to drive positive change. That’s not a big data failure, that’s an operational issue. This is where major opportunities lie in the near future: going beyond implementing big data for big data’s sake and focusing on driving desired business outcomes.

Follow Tom on Twitter @thomasdeutsch and talk with him on LinkedIn, where he’s a frequent contributor. You can also read his posts on ibmbigdatahub.com and ibmdatamag.com. Also 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.

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