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Awesome Companies in AI 2024

While AI has been the talk of science fiction-aficionados and tech-enthusiasts for many years, it wasn't until the tail-end of 2022 that AI entered the mainstream conversation with generative AI and the popularity of ChatGPT technologies. To help readers gain a greater understanding about this complex area of information technology, the solutions available, and their role in handling real-world challenges, DBTA and Big Data Quarterly present the list of Awesome Companies in AI. Read More

Game-Changing Technologies Fueling The Data-Driven Enterprise In 2024

Never before has the business spotlight been on database managers and professionals as it is at this time. Every business leader now wants a data-driven organization, as they recognize this is the key to competitive differentiation. Data monetization is seen as a vast new revenue source. AI—both operational and generative—relies on effective data management and quality. The ongoing transition to digital business demands real-time delivery of insights to end users and applications. Read More

The Critical Role of Data Cleaning

As a product manager, I have worked closely with data engineering teams and witnessed the fantastic ways to transform raw web data into insights, products, data models, and more. Data cleaning consistently stands out as a vital component of this transformation. Read More

Data Migration for the Long Haul—Overcoming the One-and-Done Mindset

Data migrations can be a big undertaking for almost any organization. That's why it's so important that organizations set themselves up for long-term success. This means being able to ensure they'll enable their desired outcomes—such as compliance, data accuracy, and performance—for the long haul. Read More

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Columnists

Todd Schraml

Database Elaborations

Todd Schraml

  • Remake/Remodel Eventually the day comes when an existing data mart or warehouse needs to be re-examined. Maybe new workloads are desired, new business models arise, a new platform is considered, or new supporting tools in the environment are wanted. Especially when a new platform is part of the equation, many in charge think first of "lift and shift" as the approach. Taking as much existing data and processes as possible and keeping them virtually unchanged as things are moved onto new foundations is almost always the cost-saving approach—for the immediate short term.
Recent articles by Todd Schraml
Craig S. Mullins

DBA Corner

Craig S. Mullins

  • Tackling the Stress of the DBA Job Database administration is a demanding career that is constantly morphing to include more and different job requirements. Being a DBA requires technical knowledge, problem-solving skills, and the ability to manage multiple, detailed tasks at the same time. This means that in the world of database administration, stress is an unwelcome, yet common companion.
Recent articles by Craig S. Mullins
Kevin Kline

SQL Server Drill Down

Kevin Kline

  • New Troubleshooting Capabilities in SQL Server and Azure SQL Microsoft has recently released a powerful new DMV specifically to help with memory issues, sys.dm_os_out_of_memory_events. It is currently available in Azure SQL Database and Azure SQL Man­aged Instances. This DMV consolidates and simplifies telemetry from SQL Server ring buffers, applies heuristics, and provides a result set. The DMV stores a record for each out-of-memory (OOM) event that occurs within the database, providing details about the OOM root cause, the memory consumption of database engine components at that point in time, potential sources of memory leaks, and more.
Recent articles by Kevin Kline
Guy Harrison

Emerging Technologies

Guy Harrison

  • AI: Artificial Intimacy How would you like a partner who always agreed with you, never got cross or upset, was always available, and was willing to engage in whatever intimate activities you desired whenever you wanted? In the real world, that's an unrealistic and undesirable outcome. True intimacy results from a meeting of equals, not through a totally subservient partner.
Recent articles by Guy Harrison
  • DevTestOps vs. QAOps: Different Name, Different Game   DevOps is now the most prevalent software development methodology in use. Since 2009, it has spread beyond development teams into other functional areas. One of the earlier DevOps extensions was into DevTestOps, which emphasized continuous testing throughout the software development lifecycle. This was followed several years later by the emergence of QAOps, which built on that model with a focus on improved quality assurance (QA). At first glance, these terms refer to the same methodology. But when you dig deeper, QAOps represents a significant departure from the purpose and process of DevOps. Let's explore.
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