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Tooling Up for Analytics

New tools and technologies are becoming established in enterprises, helping organizations extract more value from data. Recently, industry experts weighed in on the trends that loom large in the future and those that appear to be waning. Read More

The Future of DevOps: Predictions for 2019

Coined nearly 10 years ago by Patrick Debois, the term "DevOps" is now broadly accepted as a methodology by which software development teams and IT operations teams work collaboratively for a continuous delivery approach.  The methodology puts a premium on speed. With the 10-year anniversary coming up, leading IT executives offer their DevOps predictions for 2019. Read More

Using Control Theory to Automate Database Operations

There's been a lot of discussion recently about autonomous databases, which offer the promise of keeping database systems stable and performant while alleviating much of the tuning and configuration drudgery that DBAs must typically slog through. It is important to note that an autonomous database needs to strike a balance between giving administrators too much and too little control. Too much control takes the form of endless configuration and tuning parameters that place the burden of performance and stability on the operator. Too little control takes the form of automated behaviors that reduce the predictability of the system to an unacceptable level. Read More

The Role of DevOps in Modernization

In a new IOUG SELECT article, Eric Mader writes about the role of DevOps in development and operational modernization: "Often misinterpreted as a buzzword endorsing development teams taking over platform and infrastructure roles, DevOps is all about development and operational modernization. Rather than operating as siloed, asynchronous teams as has been the norm for decades, DevOps represents a fundamental, holistic, organization-wide shift not only in processes and tools, but in people and culture." Read More

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Columnists

Todd Schraml

Database Elaborations

Todd Schraml

  • DATABASE ELABORATIONS - Should PII and GDPR Drive Database Design? There has always been a need to tightly control some data items, such as passwords and Social Security numbers. Today, with the rise of concerns over personally identifiable information (PII), the General Data Protection Regulation (GDPR), and other legal mandates, a much larger group of data elements must be controlled. These legal data governance issues may need to guide our hands as we establish database designs.
Recent articles by Todd Schraml
Craig S. Mullins

DBA Corner

Craig S. Mullins

  • DBA CORNER - The Mainframe Does Big Data When you mention big data and analytics, the first thing most people think of is Hadoop, Spark, and NoSQL. But are these newer technologies required for big data projects? What about the mainframe? Mainframes are not often mentioned in big data articles and advertising. But they should be.
Recent articles by Craig S. Mullins
Kevin Kline

SQL Server Drill Down

Kevin Kline

Recent articles by Kevin Kline
Guy Harrison

Emerging Technologies

Guy Harrison

  • EMERGING TECHNOLOGIES - Blockchain Enables Unique Digital Proofs We've all seen the movie about the kidnap victim whose family asks for a "proof of life." The proof is typically a photograph of the victim posed with a current newspaper. Blockchain technology is now allowing us to provide similar proofs for the existence of digital assets. The immutable nature of the blockchain—the fact that it is impossible to overwrite time-stamped blockchain ledger entries—allows us to create "proof of existence" entries for digital assets.
Recent articles by Guy Harrison
Rob Mandeville

Next-Gen Data Management

Rob Mandeville

Recent articles by Rob Mandeville

Trends and Applications