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The New Data Analytics: Riding on Data Lakes, Data Warehouses, and Clouds

What types of platforms are most viable for modern data analytics requirements? These days, there are a wide variety of choices avail­able to enterprises, including data lakes, ware­houses, lakehouses, and other options—resident within an on-site data center or accessed via the cloud. The options are boundless. It's a matter of finding the best fit for the business task at hand. Read More

Big Data 50: Companies Driving Innovation in 2021

Today, organizations need data-driven insights to advance decision making at all levels and digital transformation is a key component of those efforts. Supporting data-driven insights and digital transformation takes an ever-growing range of services, products, and tools from forward-thinking companies that are working to help their customers deliver the right insights to the right people at the right time. Read More

DBTA’s Data Summit 2022 Opens Call for Speakers

The Call for Speakers is now open for Data Summit 2022 which will be held at the Hyatt Regency Boston May 17-18, 2022, with pre-conference workshops on May 16, 2022. The Data Summit conference focuses on the business and technical aspects of Big Data, Data Management, DevOps, Data Management, AI, Machine Learning, and the ramifications of working in a data-driven environment. Read More

Hadoop Increasingly Landing in the Cloud, But the Ride Is Bumpy

One of the challenges of working with Hadoop environments has been maintaining the infrastruc­ture for big data projects. That's where cloud makes things easier and, increas­ingly, has served as the underlying infra­structure platform of choice for Hadoop initiatives. At the same time, not every­thing has moved to the cloud just yet for big data environments. Many IT managers expect to live in a hybrid environment. They are planning for multi-cloud data management to deliver business value and are also still relying on old-school approaches and manual tools to support their data environments. Read More

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Columnists

Todd Schraml

Database Elaborations

Todd Schraml

  • The Dangerous Monster That Is the Null Marvel should have an evil villain named "Null." Nulls have always been trouble in the relational world. Certainly, nulls are used all over the place by virtually everyone. Still, that does not mean that nulls are harmless.
Recent articles by Todd Schraml
Craig S. Mullins

DBA Corner

Craig S. Mullins

  • Why DBAs Must Automate to Survive You might think the title of this article is some­what controversial, but you should wait to render judgment until you've read to the end. There are several important shifts impacting data management and database administration that cause manual practices and procedures to be ineffective. Let's examine several of these trends.
Recent articles by Craig S. Mullins
Kevin Kline

SQL Server Drill Down

Kevin Kline

  • Advanced Data Security Using Azure Defender for SQL The world of the data professionals and DBAs is swirling with threats and risks, and those dangers are on the rise. You're probably accustomed to using longstanding database fea­tures to secure your databases, including roles and permissions, and you're likely familiar with working with your identity management admins to control and create your user authentication scheme.
Recent articles by Kevin Kline
Guy Harrison

Emerging Technologies

Guy Harrison

  • Redis and Amazon’s MemoryDB If you pay attention to the annual "StackOverflow Devel­oper Survey"—and, as a DBTA reader, you probably should—you might be interested in how developers use and rate the various database platforms. Usage responses are unsur­prising; MySQL, SQLite, SQL Server, and PostgreSQL all show up as the most widely used databases. But when you look at the most "loved" databases, the results are actually somewhat sur­prising—Redis consistently shows up as the most loved data­base platform by developers
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