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Trends and Applications
There's a new generation of technologies reshaping data management as we know it. To explore some of the game-changing technologies or approaches that are having the most profound impact on today's enterprises, DBTA asked industry experts and leaders to cite what they see as having the most positive impact. The following are eight areas effecting the most change.
A shifting environment—from batch-oriented databases housed in server rooms to digital, software-defined data centers powering analytics-driven business decisions—has led to a dramatic expansion of the DBA or data management role.
Connecting Business in a Decentralized IT World: Q&A with Dell Boomi's Steve Wood
You are moving to the cloud. That means your data is moving to the cloud, too. But, are you prepared for the challenges that you will face when moving your databases to the cloud?
"ECM is dead," proclaimed Michael Woodbridge in a Gartner blog post earlier this year. And, the fact is, today's legacy enterprise content management (ECM) systems and other traditional approaches to managing information are no longer feasible in a world where 2.5 quintillion bytes of data are created every day—resulting in general confusion when itcomes to document management.
Today's business landscape is more dynamic than ever. Stringent regulations, new revenue models, and high customer expectations are forcing organizations to evolve or face being overrun by more nimble competitors. Chief data officers (CDOs) and chief information officers (CIOs) of established businesses are looking to digital transformation as a key initiative to drive organizational change.
The hype around blockchain technology as it relates to cryptocurrencies such as bitcoin is reaching an all-time high, but enterprise organizations are taking a longer-term, more measured approach.
A distributed cloud database is a database in which operational data is spread across different physical locations—for example, across different data centers, across hybrid clouds (such as private and/or public clouds), different public cloud regions of a public cloud, or even different public clouds.
Columns - Database Elaborations
When we hear the term "think outside the box," how often do we really examine what that phrase truly means? First, one needs a box. And it is on this issue where most folks fail. Before one can consider what is "outside the box," one must clearly understand what exactly is meant by "inside the box." People often consider random approaches the same as being "outside the box." However, just different is not enough.
Columns - DBA Corner
A Worldwide Data Ethics Council is something we greatly need. The council would focus on debating, crafting and proposing clearer regulations that dictate what is—and is not—ethical in terms of data collection, retention, and usage. Furthermore, it would communicate the message of being skeptical of everything and using caution before sharing anything with anyone. The council could also work on forms of data ethics education for schools and universities, as well as to educate the press and government officials. I mean, let's face it, after watching those U.S. Congressional hearings with Mark Zuckerberg I don't think any techies believe that government officials are prepared for the Information Age.
Columns - SQL Server Drill Down
On June 20th, the Microsoft SQL Server team dropped the most recent release of SQL Operations Studio to the public. This is just one of many, many product announcements that demonstrate Microsoft's very serious commitment to interoperability and to meeting the needs of their customers wherever they reside, even if that's outside of the Microsoft ecosystem. One of the hallmarks of SQL Operations Studio, compared to the venerable SQL Server Management Studio, is that it's lightweight and expandable.
Columns - MongoDB Matters
The introduction of transactions in MongoDB 4.0 represents possibly the most significant change in MongoDB's architecture since its original release. The lack of a transactional capability previously defined the capabilities of the database: Without transactions, MongoDB was blocked from consideration for a wide range of application scenarios. With the implementation of transactions, MongoDB can for the first time truly claim to be a general purpose DBMS.
In a world of increased scrutiny and regulatory policy concerning how personal data is collected and managed, the European Union's newly implemented General Data Protection Regulation (GDPR) raises critical issues for data management at every company. MultiValue is already being used to create efficient, flexible database and development frameworks that provide both a GDPR-compliant as well as scalable solution.