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The Game-Changing Technologies Powering the Data-Driven Enterprise in 2021 and Beyond

We're still at the start of the 2020s, and already, things look very different from the preceding decade. For data executives and profession­als, the years ahead may mean change on a scale never seen before in the IT industry. Promising new technologies—as well as redesigned and repurposed older ones—are reshaping the data center and analytics shops in new and exciting ways. We asked industry leaders for their views on what is enhancing the ability of enterprises to compete on data. Read More

DBTA 100 2021: The Companies That Matter Most in Data

The past 15 months have provided an object lesson for all organizations in the importance of being agile and moving quickly to address new challenges and opportunities. The COVID-19 pandemic created even greater urgency to better manage and extract valuable insights from data for companies that were already dealing with expanding regulatory pressures, new data security risks, and burgeoning data volumes. Read More

Log Parsing With AI: Faster and With Greater Accuracy

Network security logs are a ubiquitous record of system runtime states and messages of system activities and events. Parsing logs with regular expressions is the most widely utilized method available for network log analysis. Providing a toolset powered by NLP to perform log parsing is a game changer in the critical and time-sensitive area of cybersecurity. Read More

The Coming Tsunami of Automation

As many people in the world pass through the eye of the pandemic storm, aspiring to survive and experience the sun again, another catastrophe looms—albeit barely visible. This potentially devastating problem lurks around the corner from the big-box store that may have just provided their COVID-19 vaccinations, but it is of a very different nature. We are facing a pending tsunami of automation. Read More

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Columnists

Todd Schraml

Database Elaborations

Todd Schraml

  • Relational Closure Can Turn Any SQL Select Into a Mosaic Inside a relational database management system, the princi­pal persisted data structure is considered a logical relation. Operations performed against that data within the RDBMS result in a logical relation too. In other words, everything is a table. To step away a little from the term "table," let's use the word "grid."
Recent articles by Todd Schraml
Craig S. Mullins

DBA Corner

Craig S. Mullins

  • Relational Still Matters With new "data models" and types of database systems purported to be better than relational, it seems that the industry is all too ready to stick a fork in relational. So, is relational technology outdated? There are all sorts of pretenders to the throne for data management including Hadoop, XML, and the various types of NoSQL database products. But why? Are there truly any shortcomings in the relational way that require its wholesale replacement?
Recent articles by Craig S. Mullins
Kevin Kline

SQL Server Drill Down

Kevin Kline

  • SQL Server Migration Assistant v8.19 Now Automates Testing Due to my background working with other major database platforms such as Oracle, MySQL, and PostgreSQL, I've long been an advocate for the SQL Server Migration Assistant (SSMA). This powerful and easy product can quickly and effectively migrate most popular relational database platforms into SQL Server. The migration process using SSMA usually results in a 80/20 or 90/10 migration, in which 80%-90% of the database objects migrate without an issue. But 10%-20% typically requires additional hand-hold­ing and manual migration work.
Recent articles by Kevin Kline
Guy Harrison

Emerging Technologies

Guy Harrison

  • Are Non-Fungible Tokens Breaking Ethereum? Whatever you think about NFTs, the increase in load on the Ethereum network has created another scalability crisis. Ethereum transaction fees are going through the roof, and delays on the network are increasing. If Ethereum is going to compete successfully against up-and-coming alternative chains such as Hedera Hashgraph, something has to be done to improve the throughput of the network. Luckily, we are on the verge of several big paradigm shifts in Ethereum with ETH 2.0, which may pave the way for greater throughput.
Recent articles by Guy Harrison
  • The DBA’s Dilemma: How to Upskill and Stay Ahead Traditional DBAs who have spent a lot of time with all the nerd knobs at their disposal need to think more about the movement of data. Instead of thinking in terms of data administration—and running the risk of becoming redundant—they should become more familiar with how data moves in and out of their enterprises.
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Trends and Applications