Information Management News


Operational Insights - How Successful Is Your BI?

Finding the ROI of an organization's analytic-based investments and understanding the concept of operational intelligence is the key to success within a BI system. Organizations are beginning to realize this as they continue to make investments in analytics to meet the growing demands of the user community for more robust and usable analytic solutions. Read More

When Adversity Strikes, Will Your Data Continue to Flow?

What does it take to have an always-on organization? While an impressive array of technology exists to deliver data on a real-time, continuous basis, even those organizations with multiple redundancies built into their systems and networks still face challenges keeping up. Read More

4 Tips for DBAs Managing Multiple Databases

The DBA's role is becoming increasingly complex and now often involves managing data both on premise and in the cloud, and in a variety of database management systems including not only traditional relational systems such as Oracle, SQL Server, MySQL and others, but also new open source and NoSQL technologies, according to Gerardo Dada, vice president of product marketing, at SolarWinds. Read More

Building the Right Data Architecture for Industrial Environments

Traditional data warehousing models and open source alternatives such as Apache Hadoop and Storm have been touted as solutions to a variety of "big data" challenges. However, utilities have found that these approaches cannot handle the scale and complexity of data generated in industrial environments. Additionally, they fail to provide the real-time analysis and situational awareness that utilities need to improve decision making or address critical events in real-time, such as optimizing crews during outages and severe weather events. Read More



Todd Schraml

Database Elaborations

Todd Schraml

  • Blurred Lines and Sloppy Data Models Many neophyte data modelers have trouble distinguishing between logical and physical data models. These novices likely cannot explain why each model exists, or the differences expressed between them. Sadly, such confusion also exists in the realm of the experienced data modeler. Not to say an experienced data modeler can't express the difference between a logical and a physical data model; but across a group of experienced data modelers one would not get a consistent answer.
Recent articles by Todd Schraml
Craig S. Mullins

DBA Corner

Craig S. Mullins

  • The Difference Between Development DBAs and Production DBAs There are many different ways to look at database administration. It can be done by task, by discipline, by DBMS, by server, and so on. But one useful way to look at database administration is in terms of the type of support being delivered to applications. You can paint a broad brush stroke across the duties of the DBA and divide them into two categories: those that support development work and those that support the production systems.
Recent articles by Craig S. Mullins
Kevin Kline

SQL Server Drill Down

Kevin Kline

  • PASS Summit 2015: The Age of the Data Professional is NOW The PASS Summit 2015, the largest conference in the Microsoft SQL Server world, was held in October in Seattle, WA. The event provided a look at key initiatives that Microsoft's SQL Server group has been working on and a glimpse of what's ahead for the future.
Recent articles by Kevin Kline
Guy Harrison

Applications Insight

Guy Harrison

  • Navigating this Software Paradox Almost every commercial endeavor and, indeed, almost every human undertaking, has software at its core. Yet, with software at the core of so much of our society, it's surprising to realize it's getting harder and harder to actually make a living selling software. In his recent book, "The Software Paradox," Stephen O'Grady - co-founder of analyst firm RedMonk - provides a cohesive and persuasive analysis of what those of us in the software business have been experiencing for several years - it's getting increasingly difficult to generate revenues selling "shrink-wrapped" software.
Recent articles by Guy Harrison
  • Is MySQL in Your Future? Seven Things to Consider About Open Source Databases Ever since Linux became a viable server operating system, organizations have been looking to all kinds of open source software (OSS) to save on license and maintenance costs and to enjoy the benefits of an open platform that invites innovation. If you're considering MySQL or another open source DBMS as either your primary database or to, perhaps, operate alongside your existing commercial systems, such as Oracle or Microsoft SQL Server, for one reason or another, here are seven things to keep in mind.
Recent articles by Gerardo Dada

Trends and Applications