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The Need for Intelligent Data Modeling

How rapidly digital transformations have occurred since 2007. A decade ago organizations had not yet turned en masse to leverage social platforms such as Facebook. Consumer technology and its potential went largely ignored and companies were mainly focused on data mining, search technology, and virtual collaboration. Surely it is time for a new generation of intelligent data modeling to step up and enable advertisers and marketers to target consumers more accurately. Read More

Is Mobile Security Keeping Your CIO Up At Night? Here’s How to Fix That

Cybersecurity is a top of mind concern for CIOs, as the number of companies who fall victim to cyber attacks and data breaches increases every year. Attacks are becoming more common, sophisticated, and costly. Executives and IT professionals alike know the importance of enterprise security, yet companies' security policies frequently fail to address one key area of vulnerability to organizations—employee mobile devices. Read More

Riding the Data Tsunami: Hang Ten or Get Swept Away

Regardless of industry, the ability to collect, manage, and intelligently leverage data will clearly be a differentiator for the foreseeable future. Executives in healthcare are acutely aware of the disruption being driven by this new paradigm and understand that this trend is impacting every sector, from banking to farming to manufacturing. Ultimately, investing time and resources in data collection and analysis is only valuable if it provides insight for making proactive, tactical decisions. Innovative companies today are using big data and analytics to drive attributable revenue and compete more effectively. Read More

“Digital Transformation Economy”: Modernizing Core Technology Architectures is Critical

We've heard the term "digital transformation" used almost to the point of exhaustion in the past couple of years—but it's not just a lot of hot air: It's the future. Organizations must update their legacy architecture to remain current in the new enterprise landscape, and mainframe rehosting offers 10 key advantages Read More

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Columnists

Todd Schraml

Database Elaborations

Todd Schraml

  • Business Intelligence Requires a Balanced Approach Every few years we hear of one new idea or product that will surely bring death to the relational database, or death to the data warehouse, or death to something. It appears that many prefer to see death or at least they greatly enjoy planning for it. Often these finalities never seem to arrive.
Recent articles by Todd Schraml
Craig S. Mullins

DBA Corner

Craig S. Mullins

  • Don’t Neglect Database Performance DBAs spend a lot of time on tuning application code and SQL statements to boost efficiency and optimize access. But SQL is only one aspect of database systems performance. It is also important for DBAs to devote time to tuning and optimizing the design, parameters, and physical construction of database objects, specifically tables and indexes, and the files in which their data is stored.
Recent articles by Craig S. Mullins
Kevin Kline

SQL Server Drill Down

Kevin Kline

  • Announcing SQL Server 2017 Release Candidate 1 Microsoft announced the first release candidate (a.k.a. RC1) for SQL Server 2017 on Monday, July 17th. Release candidates are not a final and finished product, but they are feature complete. No new features are expected after Microsoft moves into the RC phase, only adding polish (for example, brushing up the documentation and UI) and performance to the existing feature set. The full product release is planned for some time in the second half of 2017.
Recent articles by Kevin Kline
Guy Harrison

MongoDB Matters

Guy Harrison

  • MongoDB Stitches up Backend as a Service MongoDB recently announced some interesting, though incremental, enhancements. These included improved "joins" in the aggregation framework, better document validation using JSON schema, and more reliable behavior in the event of network failures. These features attempt to close the gap between the functionality of MongoDB and traditional relational databases - joins, schemas, and commits. On top of these incremental updates, MongoDB announced a couple of features that intrude on functionality usually provided by application servers or desktop programs.
Recent articles by Guy Harrison
  • Is Writing Good SQL a Lost Art? Poorly written SQL statements can cause significant performance problems in your database environment. According to some experts, poorly written SQL can cause up to 70% of performance problems overall. Adding resources can mask many issues surrounding poorly written SQL, but comes with a cost. Is writing good, quality SQL (including block code—stored procedures, packages, functions, etc.) a dying art? And if it's so important, why is that?
Recent articles by Gerardo Dada

Trends and Applications