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Big Data 50: Companies Driving Innovation in 2022

Data has only become more important as organizations look ahead to what a post-pandemic world could look like. Some of the new approaches being embraced to help drive greater benefit from data are DevOps and DataOps, data quality and governance initiatives, hybrid and multi-cloud architectures, IoT and edge computing, and a range of next-gen databases. Read More

Tech Experts Offer 7 Predictions for AI in 2023

AI continues to fuel a hotbed of activity from automating mundane tasks to enhancing decision making, and progress in this area looks to heat up even more in 2023. Here, IT leaders share their perspectives on where AI is headed and what can be expected to change in 2023. Read More

Latest Unisphere Research Survey Reveals Software Audits are on the Rise

Entering the post-pandemic era, and faced with an uncertain economy, many software vendors have been looking for sources of additional revenue, and they have found it—through customer software audits. These software audits have become a big business, serviced by prominent accounting and consulting firms on behalf of vendors, and often incurring millions of dollars of extra charges to customers. Read More

How Data-Centric AI Can Offer Benefits Across Industries: Q&A With MathWorks’ David Willingham

A renewed interest in data-centric AI is driving increased model outcome accuracy and introducing the concept to new applications. Data-centric AI is gaining momentum as engineers working with AI shift their focus from models to data. Whereas engineers previously took a model-centered approach to improve the prediction outcomes and accuracy of a model, current dynamics are causing many to look to the quality of input data to improve outcomes. Read More

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Todd Schraml

Database Elaborations

Todd Schraml

  • What Becomes a Logical Data Model Most? In the simplest terms, a logical data model is a visual representation of the business rules and requirements covering the universe-of-discourse for a given solution or enterprise, along with some textual support. Keeping this in mind, the logical data model is a metaphor describing the piece of the organization under analysis.
Recent articles by Todd Schraml
Craig S. Mullins

DBA Corner

Craig S. Mullins

  • Types of Database Recovery, Part 2 Last month we looked at various types of database recovery, how they work, and how DBAs need to prepare for recovery scenarios. This month, let's delve a little deeper into the issues and decisions that DBAs need to be prepared to address as they work on database recovery. The first thing that DBAs need to be aware of is the recovery time objectives, or RTOs, for the database objects in question. In an ideal world, RTOs would have been established for each object and the backup procedures would be in place to establish sufficient time for recovering to those objectives.
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

MongoDB Matters

Guy Harrison

  • JSONB vs MongoDB JSON Support In the last Mongo Matters column, we looked at MongoDB's new SQL interface for querying data in MongoDB Atlas. Almost all of the "NoSQL" databases today support some form of SQL interface in order to leverage the multitude of SQL-based BI tools and the wealth of SQL expertise in the data analytics market. This "SQL for NoSQL" usually bemuses SQL aficionados and is often seen as some sort of repudiation of the document database concept.  
Recent articles by Guy Harrison
  • “Data is the New Oil,” But That Also Means it Can be Risky British mathematician Clive Humby famously said in 2006 that "Data is the new oil." In the 16 years since, companies of all sizes have drilled for and stored more and more data about their customers and business operations to drive performance and growth to reach their goals. In conjunction with the increased use of the consumer internet, data creation has exploded in recent years—considering the majority of the world's data collected over the course of human history has occurred in just the last two years alone. As a result, entire businesses and industries have been built solely on having access to unique and useful data.
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