4 tips for Oracle Autonomous Database success: An expert’s view paid Oracle
When tech guru Erik Benner isn’t exploring the Oracle Autonomous Database, he’s exploring the universe with his backyard observatory.“You’ve got to pick one up front,” says Benner. “If you’re flowing lots of data into [a single place] to run analysis, then go with Autonomous Data Warehouse. If you’re not sure [what your needs will be], go with Autonomous Transaction Processing,” Benner says.
You do still need that one skilled DBA, Benner says, it’s just that Oracle Autonomous Database frees him or her from routine tasks in order to do more valuable stuff. “I need a DBA who’s an application DBA; who knows how to write good SQL, who knows how to work with developers on their SQL, who knows how to structure data in a relational database,” he says. And “I need someone who knows how to get data into and out of that database.
, one of Benner’s favorites is its true hot scaling capabilities—meaning you can scale it up or down at will. “If you’re running a production environment for a data warehouse and only do one or two huge analytics workloads a month, you can run all month on two CPUs and then when you’re going to do your big reports you can scale that thing up to 18 CPUs, or whatever you need, and take advantage of all that parallelism, knock out your analytics, then slam it back down to 2 CPUs,” he says.
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