As data begins to underpin not only applications but also analytics, artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and autonomous software, we′re quickly reaching a point where humans can′t keep up with the volume and complexity of it.
Organizations are increasingly competing to employ countless data scientists, analysts, and experts in an attempt to properly manage their data and extract maximum value from it. But this human-centric approach isn’t sustainable, as it requires hard-to-find specialists, adds significant costs as your data scales up, and runs the risk of slowing down the very options you want to accelerate.
More importantly, involving more humans means a greater possibility of human error. So by bringing extra people into the equation, you could be putting your critical data at risk.
That’s where the autonomous database comes in. An innovation from Oracle, autonomous database technology takes the pressure off your database administrators and data scientists, taking care of the manual data, patching, and version management, so your people can focus their efforts on the activities that add more value.
Autonomous databases can help you make the most of your data experts, and overcome the challenges of today’s data universe—while making the most of new analytics, AI, and ML opportunities.
In charge of day-to-day data management, your database administrators are critical to the continued performance of your database (and the insights that lie undiscovered in it). From creating new databases and debugging existing environments to ensuring security and improving performance, they are expected to do it all.
And database administrators are being asked to do much more every year. Even with automation and autonomous software, this role is as important to the health of your data management as ever.
Over time, the database administration role has seen several major changes. When many traditional DBA tasks (such as storage and workflow management) were automated, DBAs were initially concerned. They worried that these automations would cost them their jobs.
However, they didn’t.
In fact, automation helped them to save time on basic administrative tasks and reinvest their efforts in higher-value work.
Simplifying your database environment—with the latest database technologies and an optimized database platform—eases the burden for database administrators, and allows them to add more value to your organization and the analysis of your data.
As the DBA role continues to shift away from basic administration and management toward data delivery, modeling, and making data available to business users, its significance radically increases.
Oracle has invested significant research and development efforts in new and emerging technologies that can help DBAs solve their most pressing current challenges, increase their impact on the organization, and enable everyone to capitalize on new opportunities as they arise.
From IoT, AI, and ML to human interface, blockchain, and autonomous software, many of these emerging technologies are developed, tested, and deployed using Oracle Database and Oracle Exadata Database Machine platform.
DBAs are also being asked to understand what businesses can do to integrate these new data sources with traditional ones rather than just the mechanics of keeping existing databases healthy, running, and protected.
This is where the opportunity lies. But you can only make the most of this opportunity by automating processes across both the database and the database cloud infrastructure.