by Angela Guess Simon Sharwood of The Register reports, “IBM is utterly focussed on big data and analytics as its future…
by Angela Guess Suzanne Kattau of Silicon Angle reports, “What role does the cloud play in Big Data deployments today and what…
by Angela Guess Jim Harris of OCDQ recently wrote, “I was a featured guest on the recent #BigDataMgmt Twitter chat about evolving governance for…
by Angela Guess Toby Wolpe of ZDnet recently wrote, “On top of business’s growing frustration with proprietary software, the relational database…
DATE: March 13, 2014 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar Data is the lifeblood of just about every organization and functional area today. As businesses struggle to come to grips with the data flood, it is even more critical to focus on data as an…
DATE: March 18, 2014 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar One of the great things about EDW is that each year new people join the Data Management community, and bring new perspectives to the challenges we all work with. At the same time, there are…
DATE: March 20, 2014 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar The concepts of Agile Software Development have been applied in many ways in many organizations with differing levels of success. We should not be surprised that Agile is being used in terms of Data Governance.…
We are in full swing here at DATAVERSITY working to get all of our 2014 Conferences in order with great educational content. We have some deadlines approaching for our late summer events and we’re getting closer to our first big event of the year. A couple of important dates to know this month: Friday, March…
by Karen Lopez Where Should the Division of Responsibilities Lie Between Data Modeler and DBA? In the past, data architects/modelers have been primarily responsible for preparing logical data models, then they threw models over the wall to the DBAs who said “what the heck is this?” and then did their own physical models (or reasonable facsimile…
by James Kobielus You can’t shut down a community and expect it to spring back to life at a later date, picking up exactly where it left off. Living communities cannot be reinvented from scratch. They must continue to support all normal operations – albeit awkwardly – while key infrastructure is being repaired, improved, or…
by Jelani Harper The projected backlash or sentiment of disillusionment which accompanies virtually every technological innovation has manifested itself in terms of Big Data, with the growing movement towards Small Data. An analysis of the spreading Small Data phenomenon in the wake of increasing adoption of Big Data reveals that these concepts are by no…
by Jelani Harper There is a sundry of benefits associated with effective Data Governance including: Remaining compliant Reducing Risk Bettering Inventory Management Improving Data Quality Increasing Transparency Nonetheless, these boons (as well as additional complications associated with integrating various technologies for Data Management) can obfuscate what should be the principle objective of Data Governance programs—to…
by Michael Brackett Data normalization is the process of identifying, understanding, and documenting relationships within the data that an organization needs to both operate and evaluate their business (It’s All About Relationships in Data Management). Data normalization encompasses everything from normalizing the business data schema to data view schema, optimizing data view schema to logical…
by Angela Guess Simon Sharwood of The Register reports, “IBM is utterly focussed on big data and analytics as its future growth engines, according to its annual report published over the weekend. But the company has hedged a little on the future of its semiconductor and hardware businesses. Available here, the least-brochure-like bits are to be found…
by Angela Guess Suzanne Kattau of Silicon Angle reports, “What role does the cloud play in Big Data deployments today and what will the future of Big Data in the cloud look like? To understand both, we should first look at the state of the Big Data market today—and even the definition of Big Data itself. The Big…
by Angela Guess Jim Harris of OCDQ recently wrote, “I was a featured guest on the recent #BigDataMgmt Twitter chat about evolving governance for big data, which discussed that as the world becomes more interconnected and more data is gathered, the opportunity for gaffes in handling and using that data increases dramatically. Data governance can be thought of as…
Managing Guerrilla Analytics Teams: Principles and Practice from DATAVERSITY by Angela Guess At the Enterprise Data World 2013 Conference, Enda Ridge of KPMG and Edward Curry of DERI gave a great presentation entitled Managing Guerrilla Analytics Teams: Principles and Practice. In their description of the session, Ridge and Curry wrote, “With data playing an ever-increasing role…
by Angela Guess A new article out of the company reports, “GoodData, the leader in cloud business intelligence, today released a white paper, Yammer Analytics: Why It’s Time, that details how to unlock a 365% ROI in Yammer with advanced third-party analytics. Yammer, Inc., a best-in-class enterprise social network and part of the Microsoft Office Division, brings…
by Angela Guess Brad Peters of Forbes recently wrote, “Now that we are over the initial excitement of being able to capture and manipulate mountains of data, the challenge becomes identifying the truly valuable information in those data mountains. And just as important, presenting that valuable data in ways that the different stakeholders in an organization…
by Angela Guess DATAVERSITY and DAMA International have announced the keynote speakers for the upcoming Enterprise Data World 2014 Conference and Expo which will take place April 27-May 1 in Austin, TX. The article reports, “Keynote speakers were hand-selected to highlight changes in Big Data Architecture, alternative Data Management perspectives, and Strategic Data Priorities for the…
by Angela Guess Jennifer Bresnick of EHR Intelligence recently interviewed Shane Pilcher, VP of Stoltenberg Consulting about the importance of data governance and executive buy-in to obtain valuable data analytics in the health care industry. Though the conversation focuses on HIT, Pilcher’s words can easily be translated to other industries plagued with data management issues. Asked…
by Jelani Harper There is a sundry of benefits associated with effective Data Governance including: Remaining compliant Reducing Risk Bettering Inventory Management Improving Data Quality Increasing Transparency Nonetheless, these boons (as well as additional complications associated with integrating various technologies for Data Management) can obfuscate what should be the principle objective of Data Governance programs—to…
by Angela Guess DATAVERSITY and DAMA International have announced the keynote speakers for the upcoming Enterprise Data World 2014 Conference and Expo which will take place April 27-May 1 in Austin, TX. The article reports, “Keynote speakers were hand-selected to highlight changes in Big Data Architecture, alternative Data Management perspectives, and Strategic Data Priorities for the…
The CDO Agenda: Competing with Data – Strategy and Organization from DATAVERSITY To view the slides from this presentation, click HERE>> About the Webinar Data are exerting themselves, more and more, promising great opportunity–fundamental new discovery, better products and service, and more informed, confident decisions. A data revolution is unfolding! But few are ready. They’ve…
The CDO Agenda: Competing with Data – Strategy and Organization from DATAVERSITY To view the On Demand recording of this presentation, click HERE>> About the Webinar Data are exerting themselves, more and more, promising great opportunity–fundamental new discovery, better products and service, and more informed, confident decisions. A data revolution is unfolding! But few are…
by Angela Guess Toby Wolpe of ZDnet recently wrote, “On top of business’s growing frustration with proprietary software, the relational database model championed by the big vendors is looking increasingly dated, according to the CEO of leading open-source NoSQL database MongoDB. Relational databases go back to an era before the internet and are now ill suited…
by Angela Guess John Engates, CTO of Rackspace, recently wrote for The Next Web, “Open source data has a split personality. There’s the NoSQL zealot who likes to fire off tirades against the restrictive world of relational databases, then there’s the MySQL devotee who’s a staunch defender of everything structured – with all that data living…
by Angela Guess Jason Tee of The Server Side recently wrote, “Horizontal scalability, the ability to build out quickly and easily at a low cost, is a leading perk of NoSQL. Eric Redmond, author of Seven Databases in Seven Months, explains the promise of NoSQL simply and succinctly: ‘Rather than scaling vertically and spending millions of dollars on an…
Big Challenges in Data Modeling: Of Course Data Modeling is Hard, but Maybe… from DATAVERSITY This Month’s Topic Focus: Of Course Data Modeling is Hard, but Maybe… About the Presentation ….maybe…. we are making it too hard. We’ll look at how modelers and architects are using tools, skills, techniques and other resources in meeting business…
by Karen Lopez Where Should the Division of Responsibilities Lie Between Data Modeler and DBA? In the past, data architects/modelers have been primarily responsible for preparing logical data models, then they threw models over the wall to the DBAs who said “what the heck is this?” and then did their own physical models (or reasonable facsimile…
by Angela Guess Victoria Garment of Software Advice recently wrote, “In data mining, data scientists use algorithms to identify previously unrecognized patterns and trends hidden within vast amounts of structured and unstructured information. These patterns are used to create predictive models that try to forecast future behavior. These models have many practical business applications—they help banks…
by Jennifer Zaino There’s no getting around the enthusiasm for data analytics in 2014 – or the questions to which that enthusiasm inevitably gives rise. Where’s the talent and what’s the best technology to make sense of today’s endless waves of data? How can your enterprise most effectively present the insights it’s gleaned? What industries…
by Angela Guess Michele Goetz recently wrote for Information Management, “It looks like the beginning of a new technology hype for artificial intelligence (AI). The media has started flooding the news with product announcements, acquisitions, and investments. The story is how AI is capturing the attention of tech firm and investor giants such as Google, Microsoft,…
by James Kobielus Advanced algorithms power the engines of statistical analysis, but they’re not invisible ghosts in the machine. Instead, data scientists compose and tweak algorithms visually, writing the underlying code and then exploring the resultant visuals to see how well they distill the correlations, classifications and other patterns in the data. Data scientists rely…
