The AI Era: Crafting the Perfect Environment for AI to Thrive

All of the hype and high hopes around AI in recent years has focused on compelling use cases—from creating new medicines to taking over customer service. However, all AI efforts will be nonstarters without well-governed, well-sourced data. That is the leading challenge for enterprises going forward in the competitive economy of 2025. Read More

Your Data is Lying to You: A Guide to Detecting Information Anomalies

Organizations today rely heavily on data to inform their decision-making processes at every level. However, the increasing complexity of data ecosystems poses a challenge: The data we rely on may not always tell the whole truth. Read More

Digital Marketing Challenges

When it comes to areas of importance for operating businesses in the technology field, you'd be hard-pressed to find an area more important than the digital marketing team. I say that because the digital marketing team is constantly tasked with answering some of the most difficult questions, often without access to accurate and trustworthy data. Read More

AI, Big Data, and the Fourth Industrial Revolution: Navigating the Future of Work and Skills

The World Economic Forum has made a bold statement: We are in the midst of the Fourth Industrial Revolution, and this revolution is more challenging than any before it. What makes it so difficult? This new era is defined by technologies we can't see, touch, or fully understand. From AI to big data and augmented reality, these innovations are transforming every aspect of our lives at a pace that many believe humanity simply can't keep up with. Read More

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Database Elaborations

Todd Schraml

Sticks, Stones, Broken Bones, and Harmless Names Even when we try to discuss a nameless thing, we apply a pseudo-name to allow us to articulate our thoughts. The "pink place," "the big, big road," "the evil-looking tree" …. To discuss a thing, it must have an identity. A name supplies an identity for a thing. Once named, we may now speak of it. The bedrock of any good set of standards starts with names. Regardless of the role we may play in managing technological solutions, everything needs a name because everything will be discussed.

DBA Corner

Craig S. Mullins

Data Lakehouse vs. Data Warehouse: What’s the DBA’s Role? Data lakes and data warehouses are achieving a measure of success in modern data architectures, but the emergence of the data lakehouse offers new challenges and opportunities for database administrators (DBAs). What are the implications for DBAs and their careers? How do their roles evolve as data lakehouse usage expands? Let's examine the concepts, challenges, and opportunities for DBAs in the era of the data lakehouse.

SQL Server Drill Down

Kevin Kline

Combining Your Database and DevOps With Observability Since the term's inception in the late 2000s, "DevOps" is by far the most common approach to product development. During the last 15 years, DevOps processes have evolved to new speeds and scales, with the latest iteration including AI-assisted coding and platform engineering. Simultaneously, certain companies are struggling to master database operations. As a result, many organizations have data that sits in silos and/or can be hard to track down. What today's businesses need is a way to combine DevOps and data management, ultimately creating a Database DevOps framework.

Emerging Technologies

Guy Harrison

AI, Big Data, and the Fourth Industrial Revolution: Navigating the Future of Work and Skills The World Economic Forum has made a bold statement: We are in the midst of the Fourth Industrial Revolution, and this revolution is more challenging than any before it. What makes it so difficult? This new era is defined by technologies we can't see, touch, or fully understand. From AI to big data and augmented reality, these innovations are transforming every aspect of our lives at a pace that many believe humanity simply can't keep up with.

Next-Gen Data Management

Will AI Become Our Friend or Foe? Technology Professionals Weigh In. Picture this: there's a new face in the IT department, ready to step in to help tackle the increasingly complex challenges caused by modern hybrid on-prem and multi-cloud environments. Overstretched technology teams always appreciate an extra set of helping hands, but what happens when this new team member isn't human—but artificial intelligence (AI)?