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Data Summit 2017 Registration is Open

Registration is open and the program is available for review for DBTA's 2017 Data Summit conference, a unique event that brings together IT practitioners and business stakeholders alike. This year's conference will take place at the New York Hilton Midtown from Tuesday, May 16, to Wednesday, May 17, with preconference workshops on Monday, May 15. Read More

Overcoming Big Data’s Operational Challenges to Focus on Insights

As businesses realize the importance of big data, adoption is on the rise. But big data is still not in full-scale production everywhere, and many companies say operational challenges hold them back. So what are the operational challenges that big data presents? It's a confluence of three key features of big data. Read More

Wrangling Open Data to Create Useful Datasets for Applications

Open data is on the rise and freely available, bringing huge value and new features to applications. However, the challenge for developers is to efficiently wrangle, store, and deliver open datasets without having to build complex data architectures. Read More

The Data Scene in 2017: More Cloud, Greater Governance, Higher Performance

The past year was a blockbuster one for those working in the data space. Businesses have wrapped their fates around data analytics in an even tighter embrace as competition intensifies and the drive for greater innovation becomes a top priority. The year ahead promises to get even more interesting, especially for data managers and professionals. Leading experts in the field have witnessed a number of data trends emerge in 2016, and now see new developments coming into view for 2017. Read More

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Columnists

Todd Schraml

Database Elaborations

Todd Schraml

  • IT Users Are the Most Important Resource At one of my very first jobs in the service industry, I had a boss who had a variation on an old adage. He would say, "The customer is not always right. In fact many times the customer is dead wrong; but the customer is always the customer." In a similar way, in data modeling, business users and internal IT users, make the world go around. If they don't use the models that are designed, or worse, if they cannot relate to the designed data models, then what value has been delivered?
Recent articles by Todd Schraml
Craig S. Mullins

DBA Corner

Craig S. Mullins

  • Digital Transformation and the DBA The role of the DBA is growing and becoming more complicated in the age of digital transformation. As the amount and type of information we store expands, DBAs must become versed in administering not just one type of DBMS (e.g., relational), but multiple types (document, key/value, wide column stores, and graph) and even non-DBMS data platforms (e.g., Hadoop). Furthermore, cloud computing can change the manner in which existing applications and databases operate.
Recent articles by Craig S. Mullins
Guy Harrison

Emerging Technologies

Guy Harrison

  • The Ethics of AI Imagine you are standing by a railway track near a lever that switches between two sets of tracks. A runaway rail trolley is heading toward the fork in the tracks, and five people are trapped on the currently activated line. You could switch the trolley to the alternative track, but there is a single person trapped there as well. Do you switch the trolley? The artificial intelligence community is increasingly wrestling with similar moral conundrums implicit in the ever-more pervasive algorithms that underlie much of our technological infrastructure.
Recent articles by Guy Harrison
  • Should You Build or Buy Database Monitoring? There are many points in life where you may ask yourself whether it is better to build or buy. Think of a new house, a business, or an application. Regardless of the object of discussion, answering certain upfront questions can act as a guide to help you along the path to the right solution. Given the increasing importance, complexity, and breadth of database systems, the question of whether to build or to buy database monitoring is an important one to consider.
Recent articles by Gerardo Dada

Trends and Applications