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Seven Steps to Ensure Network Resilience

As more companies continue to rely on interconnected networks, virtualized cloud services and IoT technologies, the potential for downtime and its costs will only rise. By achieving true network resilience, companies can focus on maintaining their services, removing single points of failure and having a plan to bring the network back up to continue normal operations—before it costs them. Read More

Spanning the Range of Database Requirements in the Cloud

Data continues to grow in volume, variety, and velocity, resulting in new data management technologies. Recently, Deepti Srivastava, product manager for Cloud Spanner at Google Cloud, discussed how database requirements are evolving and how Google's Cloud Spanner is advancing a relational-NoSQL-convergence approach by giving customers the combined benefits of relational database structure with non-relational horizontal scale. Read More

Database Considerations for a Modern Architecture

Digital transformation. Infrastructure modernization. Global data center demands. All these forces and more are driving enterprises around the world to seek out next generation cloud-based technologies for a wide range of applications—even those most critical to their business. In reality, however, migrating to the cloud or any other modern architecture is not as easy as it sounds.   Read More

Sponsored Content: Why the Time is Right for Time Series Databases

The Internet of Things (IoT) requires scalable, high-performing databases to store the massive amounts of time series data collected from sensors. Read More

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Columnists

Todd Schraml

Database Elaborations

Todd Schraml

  • Speed Can Kill: Take Time to Communicate—and Think Certain kinds of issues in data modeling need to be addressed in specific ways. Many options may exist, but it is very rare for all the possible choices to be equally appropriate. The reasons for using a less-than-satisfactory path may be many. They may include a misguided concern for speed-to-completion or be a matter of the areas of control for those "in the loop" on the existence of the issue. Largely, this involves communication or, more precisely, the lack of communication.
Recent articles by Todd Schraml
Craig S. Mullins

DBA Corner

Craig S. Mullins

  • Best Practices for Managing Database Infrastructure A "best practice" is a professional procedure or tactic that is accepted or prescribed as being correct or most effective. Take a moment to think about the things that you do, or want to do, on a daily basis to manage your database infrastructure. What are the main categories of "things" that you want to tackle with best practices?
Recent articles by Craig S. Mullins
Kevin Kline

SQL Server Drill Down

Kevin Kline

  • The Surprising Value and Utility of Azure Notebooks Back in the 1980s, a Stanford University computer scientist and professor named Donald Knuth introduced the concept of "literate programming," in which a computer program's logic is explained in a natural language such as English. The "literate" program would be further enriched with images, graphs, traditional source code, related macros, and scripts almost as if the programmer were writing an essay, and using all of these components together could still be compiled as usual. The most notable products to arise from this concept were notebooks, such as Azure Notebooks, Jupyter Notebooks, Apache Zeppelin, and the Apache Spark Notebook.
Recent articles by Kevin Kline
Guy Harrison

Emerging Technologies

Guy Harrison

  • The Rise and Fall of Hadoop Regardless of its long-term prospects, Hadoop remains a pivotal technology in the history of databases. Hadoop was one of the key technologies that broke the stranglehold of relational databases, and it forced a shift in the way in which we think about and store data.
Recent articles by Guy Harrison
  • Three Considerations for Embarking on a Data-Centric Career Hard skills, while still valuable, are only part of the necessary skill set to be successful as a data professional. But hard skills have a ceiling. Hard skills can be replaced. Soft skills have no ceiling and offer more value than many hard skills.
Recent articles by Jared Hensle

Trends and Applications