DBTA E-EDITION
December 2019

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Trends and Applications

Clouds, autonomous databases, and fast-growing data environments dominated the results of surveys by Unisphere Research, a division of Information Today, Inc., throughout 2019. Data keeps expanding beyond the bounds of traditional corporate on-premise systems, and the demands on data managers are growing.

The IT industry is going through a major shift from centralized data centers to dispersed deployments across a variety of cloud and on-premise platforms. At the same time, availability is becoming more critical. Recently, Dave Bermingham, technical evangelist of SIOS Technology, shared his views on the current state of high availability in the cloud, and what organizations need to do to ensure continuity of service. "When moving to the cloud, the first thing you will discover is that the traditional SAN-based failover cluster for HA is no longer an option," he noted.

Traditional BI was focused on enabling executives to make decisions using historical data. In contrast, operational analytics enables the operational teams on the ground ?to improve efficiencies every day.

As we stand at the start of a new year and on the precipice of a new decade—the 2020s, DBTA reached out to industry leaders for their perspectives on not only what's ahead in the year 2020 but also what they see developing as the next decade unfolds.

Whether you are reading the news, going to the store, dealing with customer service or sending a package, it has become apparent that AI is becoming part of our daily lives. We can see this on more of a macro level with the automotive industry and its adoption of AI to improve the overall driving experience, as well as the healthcare industry as it uses the technology to automate the process of identifying and ultimately diagnosing high-risk patient groups. Even the agriculture industry is taking advantage of AI to improve operating efficiency and assist with the automation of essential farming processes.


Columns - Database Elaborations

What exactly is a data architecture? As the Zachman Framework exposed long ago, different people look for different kinds of details and documentation to answer fundamental questions about an enterprise's architecture. Someone involved with infrastructure will need to understand the tools used and the methods employed to move data and to be clear on concepts about how security will be enforced. But these aspects are only initial parts of the overall architecture, and as such, a simple diagram of tools used is incomplete and insufficient for a comprehensive view of data architecture.


Columns - DBA Corner

If you have been around the IT industry for as long as I have, you have seen technologies and ideas come and go—and sometimes even come back again. This is surely the case with the "new" products that call themselves data catalogs.


Columns - Quest IOUG Database & Technology Insights

There are many ways to get messages and notifications from a secure instance in OCI—by using third-party programs, local agents through a proxy, and even using native OCI services—but there are cases ?when an email has to be sent directly from the server.


Columns - SQL Server Drill Down

The annual PASS Summit, the industry's largest gathering of SQL Server professionals, hosted more than 4,000 attendees in Seattle recently recently. PASS (www.pass.org) has grown to more than 300 local chapters around the world, and its 1,000th SQL Saturday will likely be held sometime in early 2020. The opening keynote by Rohan Kumar, corporate vice president of data and AI at Microsoft, focused on the achievements and growth of SQL Server in the marketplace, as well as on the new features and capabilities now available in the public release of SQL Server 2019.


Columns - Next-Gen Data Management

Remember when standing up a new database instance involved modeling the application using the underlying database to figure out what hardware (server, storage, etc.) was needed to support the new instance? And, since most organizations did capacity planning on a spreadsheet using linear metrics, there was a lot of estimating involved, thus over-provisioning the hardware was standard procedure.


Columns - Emerging Technologies

Researchers at Google recently announced they had achieved "quantum supremacy" by performing a non-trivial computation on a quantum computer that decisively outperformed a "classical" computer performing the same task. Although IBM disputed some details of the achievement, this announcement will probably stand as a milestone in the development of quantum computing technology. In minutes Google's quantum computer performed the calculation that would have taken most traditional computers thousands of years.

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