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Ransomware on the Rise: 5 Ways to Minimize Risk to your Organization

The pandemic of the past 2 years has proven to be a significant disruptor, bringing to light the many flaws in cybercrime preparedness across several industries. However, opportunity exists for government and business leaders to repair the cracks and prepare for the future. Underpinning good automation with best practices will ensure that organizations are set up for success against future attacks. Read More

Web Data is Driving AI Development

The internet and IoT benefit from AI, and AI is quickly shaping the world around us and becoming increasingly important within business operations. In fact, research by Deloitte shows that 73% of IT and line-of-business executives view AI as an indispensable part of their current business. It's clear to see that there is great potential for AI in virtually all areas of our lives. However, AI systems can only ever be as powerful as the information they are built on. Huge quantities of very specific data is needed to effectively train systems in the right way. Here, we'll explore the key points behind the data required and how it is being sourced. Read More

Configuring DBMS "Knobs": 6 Ways to Avoid Surprises

Database management system (DBMS) configuration tuning is an essential aspect of any data-intensive application effort. But it is historically difficult because DBMSs have hundreds of configuration "knobs" that control everything in the system, such as the amount of memory to use for caches and how often the DBMS writes data to storage. Read More

Star-Trekking Across the Metaverse

There are some words that you have never heard of and when you hear them for the first time—bam! From that instant, you hear them every day and read them everywhere. "Metaverse" is such a word. Today, the metaverse, long seen as a futuristic dream, is quickly becoming a reality. What it will become remains to be seen. Read More

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Columnists

Todd Schraml

Database Elaborations

Todd Schraml

  • Being Agile While Data Comes In and Goes Out Dealing with data warehouses, data marts, and even data lakes, can be awkward in an agile environment. While adding a single metric onto a dashboard can be very natural, no one builds a dimension table a few columns at a time. This awkwardness has caused many variants in how an agile methodology might be applied to one's analytics databases.
Recent articles by Todd Schraml
Craig S. Mullins

DBA Corner

Craig S. Mullins

  • The Role of the DBA in Cybersecurity The DBA should be an advisor to the business in terms of the types of database security that can be enabled. At a high level, this boils down to being able to answer four questions.
Recent articles by Craig S. Mullins
Kevin Kline

SQL Server Drill Down

Kevin Kline

  • Performance Data Sources: How Do You Troubleshoot SQL Server and Azure SQL Issues? When it comes to improving the performance of database systems, there are nearly as many approaches as there are DBA (database administrator) teams. Mature disciplines—from medicine to aviation to accounting—also have mature processes that rep­resent the generally accepted workflows and pro­cedures needed for best results, or, at a minimum, to prevent the worst from happening. However, DBAs do not have an equivalent for the FAA handbooks found in every aircraft cockpit in America—that's a shame because so many of our DBA workflows and processes could be made easier, more reliable, and more predictable with a bit of planning and foresight.
Recent articles by Kevin Kline
Guy Harrison

MongoDB Matters

Guy Harrison

  • Schema Design in MongoDB The design of a schema in MongoDB is just as important as it is in RDBMS.  Indeed, schema design can be even more complicated in MongoDB. At least in SQL databases, we have the "first normal form" representing the starting point for a well-designed first cut data model. In MongoDB, we have more choices, but as a consequence, we have more potential pitfalls.
Recent articles by Guy Harrison
  • Get Out of Firefighting Mode to Drive Business Success Modern businesses make decisions based on data that's been carefully collected, extracted, formatted, and analyzed. Data powers competitiveness, brings new products to the marketplace, and improves the customer experience. The use cases are nearly endless, but there's a catch: Working with all that data is becoming increasingly complex.
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Trends and Applications