As the data mining rush really gets going, it feels as though we all are awaiting the big breakthrough — we just don’t yet know how it will look or how we’ll arrive there. Yet the data scientists remain optimistic, continually promising us, “There’s gold in them hills.”

To help move us closer to that gold — the value, the actionable intelligence, the applications — Oracle has incorporated data cleansing, wrangling and enriching services into its public and hybrid cloud models.

Sohan DeMel, VP of global product strategy and business development at Oracle, told John Furrier, cohost of theCUBE, from the SiliconANGLE Media team, the company now offers a full suite of data management products. DeMel said that customers are getting savvier about what data services can actually accomplish for them. “It’s all about the quality of the data you can mine,” he stated, adding that the Big Data world is transforming at a rapid pace. “There’s lots of machine data, social data, weblogs that customers want to mine for that needle in the haystack.”

The built-in data miner

DeMel said that both Oracle’s traditional public cloud offering and its new at-customer public cloud service (AKA the Oracle Cloud Machine) offer sophisticated and discriminating data-mining services. Its Big Data preparation cloud services push the query down to the storage level, increasing processing speed by a factor of 10 to 100 in some cases, he stated.

He added that data is garbage-in-garbage-out, and a data service has to be discriminating to add value. “Our Big Data cloud solution addresses that problem squarely,” DeMel said.

Watch the full video interview below, and be sure to check out more of SiliconANGLE and theCUBE’s coverage of Oracle CloudWorld 2016. And make sure to weigh in during theCUBE’s live coverage at the event by joining in on CrowdChat.

Photo by SiliconANGLE