Big Data Technology

Data warehousing and analytics on the cloud

Length:
November 10, 2014

Learn about the new dashDB product, which makes a powerhouse of data warehousing and analytics technology accessible to everyone on the cloud. A fully managed service that can help IT professionals, data scientists and line of business analysts get up and running with insights from their data with speed, dashDB addresses challenges with data warehousing, including time-to-value, so that you can focus on the business and not the business of data warehousing.  
 
Adam Ronthal, technical marketing manager for dashDB, covers this technology in a fast moving, information packed interview conducted by David Pittman where they discuss:
  • Who should use dashDB and what are its benefits? 
  • How does it work with other IBM cloud offerings to help you achieve more in business?
  • On which cloud platforms can dashDB be used?  
To learn more about dashDB:
  1. Attend the Crowdchat on November 18 at 2 p.m. #dashDBChat
  2. Access the Freemium: dashDB.com available on either the Bluemix or Cloudant Management Interface 
  3. Explore data warehousing and analytics power at your fingertips in the cloud

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

Learn about Big Data Analytics for Midsized Business

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

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.

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.

Big data innovations in retail

Length: 22:12
May 5, 2014

Nearly every company wants to acquire more customers and keep them longer. Yet in some ways, that’s more challenging now than ever with so many options available to consumers. But there is also tremendous opportunity for companies that are using data and analytics in creative and innovative ways. Michael Haydock, IBM Fellow, Distinguished Engineer and Chief Scientist of the Business Analytics and Optimization group, described how one popular food & beverage retailer is marrying billions of transactional records with weather and social media data to create highly personalized promotions.

Follow Michael on Twitter @DrMPH, 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.

Flashing beer bottles and the Internet of things

Length: 13:43
April 27, 2014

Mark van Rijmenam is founder of BigData-Startups.com, an online resource for big data knowledge. He is a thought leader in area of big data, a frequent speaker at conferences and author of a new book titled “Think Bigger—Developing a Successful Big Data Strategy for Your Business.” Mark talked with us about the many possibilities that the Internet of Things can bring, once millions of devices and sensors are connected and communicating with one another.

Follow Mark on Twitter: @BigDataStartups and @VanRijmenam. 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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