This post was contributed by Oracle's Director of Cloud PR & Communications, EMEA & JAPAC, Rebecca English
Today, companies can be challenged to make full use of their technology investments, especially with the adoption and use of new, emerging technologies. To this end, organizations around the world rely on companies like Accenture to provide consulting and implementation skills to help them derive the most value from these investments.
Conversely, it is essential that businesses like Accenture have the talent needed when clients call on them, while also being prudent not to over-invest in skills that aren’t in demand.
“Our priority is to bring the right skills at the right time to the right project,” says Clark Kho, a senior technology architect in Accenture’s Oracle Business Group, based in the Philippines. “We have robust up-skilling and training programs for the latest technologies, which our people are taking full advantage of to keep themselves on their ‘A-game’.”
Accenture employs over 54,000 Oracle-skilled professionals around the world who continuously evolve their skills to meet the latest – and future – client needs. To ensure the organization maintains these skills, the company created a comprehensive database of relevant information on its people, the engagements they have worked on, and training received, so it can identify talent and gaps.
So when it came time for Accenture to test Oracle’s Autonomous Data Warehouse (ADW) technology to determine how it might provide business value back to Accenture’s customers, it made sense to try it out on one of Accenture’s own data assets – the skills database.
Kho and his team took four months of production data from Accenture’s existing Oracle Database Cloud Service (DBCS) and fed it into ADW.
Kho says the autonomous technology immediately demonstrated value by ingesting more than 500 million rows of data in under three minutes. He and his team subsequently put the database through its paces by running scenarios that would take a regular cloud database offline for 30 minutes or so, such as dynamically increasing the CPU and disk the platform can consume. “But with the autonomous solution, the database remained online – it never went down,” Kho says.
He says this aligns well with the increasingly routine requirement from clients to have their data accessible at any time.
“The fact you have an autonomous system that can deliver literally 24/7 data is a big game changer,” he says.
Even as Kho and his team increased the data load, the autonomous database continued to meet the performance needs.
“When we loaded more data it actually became more stable and performed better, which was interesting,” Kho says. “Data veracity is one of the key trends we identified in our 2018 Accenture Technology Vision for Oracle, as we recognize the growing importance for having trust in data to deliver better insights and decisions.
“With one click of a button we now have the ability to give more back to the business users, helping to democratize data and enabling them to be more independent.”
He was also impressed by the technology’s ability to self-patch.
“Most organizations don’t patch immediately,” Kho says. “Being able to patch the database ‘behind the curtains’ provides peace of mind around security – it isn’t as large of a concern.”
Cumulatively, these benefits translate into better performance for the organization and a reduced workload in terms of routine maintenance tasks for database administrators (DBAs) and other support teams.
“In the old days, you would need DBAs to create these databases, and it would take days to build,” Kho says. “But with autonomous capabilities, that time and manpower is free to take on more thoughtful responsibilities, rather than having to perform the mundane tasks of patching, backups, monitoring, and tuning.”
Kho believes the ability to use autonomous technology to build databases quickly will be invaluable to clients, as it will enable them to test new ideas.
“I was blown away by Oracle’s Database Cloud Service’s ability to provision a database in the cloud in under an hour,” Kho says. “Now with autonomous, it’s within minutes. It is literally building something at the speed of thought. Users can create data marts, gather the data they need, load all the data, and then crunch these queries equally fast. They can experiment faster and drive value faster. I firmly believe that autonomous technology can help people go beyond the limitations of IT to drive value.”
Kho believes the adoption of autonomous technology will lead to a partnership between humans and technology.
“This is how organizations need to transform,” Kho says. “Technology will constantly evolve, so let the machines and the humans each do what they do best, and your organization will reap the benefits of the best of both worlds.”
This groundbreaking Oracle Database technology automates data management to deliver availability, performance, and security – at a significantly lower cost. The Autonomous Data Warehouse delivers all of the performance of a market-leading Database, in a fully managed environment that is tuned and optimized for data warehouse workloads.