Enterprise Information Management

The Challenges of Master Data Management in the Internet of Things

James Kobielus

by James Kobielus Master data management (MDM) will come to the Internet of Things (IoT), if it hasn’t already. MDM refers to governance over your core enterprise data of record. Does IoT data fit that description? Well, if you’ve implemented IoT in an industrial “sensor Internet” that keeps track of the identities, configurations, behaviors, and…

Big Data’s Holiday Wish List

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by Angela Guess Howard Baldwin of Forbes recently wrote, “With the ceremonial hauling away of the turkey carcass completed, that can mean only one thing: time to start thinking about the holidays. (Yes, in this regard I’m way behind the retail industry, which has had Christmas decorations up since before Halloween.) Big data is a…

Tamr On Mission To Curate And Connect Data

Make it as easy to add and connect new data sources into the enterprise analytics infrastructure as it is to add a new web site onto the modern web. That’s where next-gen data curation company Tamr, a startup born from an MIT research project to bring together lots of tabular data sources in a scalable…

Meta-Business Data

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by Michael Brackett The term meta-data has been used, misused, and abused to the point that it is meaningless (The Meta-data Fiasco). It has been used to represent the meaning of data, such as data names, data definitions, data structure, and data integrity. It has been used to represent secondary business data that support primary…

HELP WANTED: IT Skill(z) in the Digital Age

J. Packy Laverty

by J. Packy Laverty, Ph.D. We live in a world where nearly everyone walks around with a computer in his or her pocket, and almost all business and life functions – from cashing a paycheck to checking the weather – are digitally driven. What many don’t know when accessing these solutions is that the mainframe…

5 Data Architecture Mistakes to Avoid

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by Angela Guess Stephen Lahanas, IT Architect and Vice President of Semantech Inc. recently wrote about the most common problems and mistakes surrounding Data Architecture. He writes, “While there are no concrete rules or really even standard practices in relation to some of the following considerations; I have attempted to clarify where standard practice is…

IBM Scales DevOps for Large Enterprises with New Hybrid Cloud Solutions

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by Angela Guess A recent article out of the company reports that IBM has announced “new, cloud-based DevOps services, software and infrastructure designed to help large organizations develop and deliver quality software faster. By tapping into the collaborative power of IBM’s Cloud portfolio and deep business transformation experience, enterprises can speed the delivery of software…

EDW Webinar: Data Quality for Data Modelers

EDW Webinar Series

This presentation was given in a live webinar on November 18, 2014 Enterprise Data World Webinars: Data Quality for Data Modelers from DATAVERSITY  To view just the slides from the presentation, click HERE>> About the Webinar Data Quality begins with the conceptual model. It’s imperative that the modeler not only acknowledges data must be quality…