Companies now collect more data than ever before, but challenges remain for accessing and analyzing them.
David Armlin, VP solution architect and customer success, ChaosSearch, discussed “Learn, Unlearn, Relearn: Embracing the Future of Cloud Analytics,” during his Data Summit 2022 session.
He presented results from a recent survey done by the company and Unisphere Research that shows data quality and timelines are the most pressing issues. The latency of lag time of getting data into their data lakes was also a concern.
“Looking at operational analytics, folks want to start simple and expand on that,” Armlin said.
Today’s data platforms are breaking under pressure. The complexity of these systems and the data growth involves time, cost, and risk. The key component of bringing data together into the data lake is understanding complexity.
The core technology of ChaosSearch’s data lake platform is built on top of cloud storage, he explained. Indexing the data in cloud object storage allows users to utilize security embedded within the system to avoid creating copies that may be affected during a security breach.
“You can bring all data into one location and refine it there,” Armlin said.
Tom Hoblitzell, VP, data management, Datavail continued to talk about moving to the cloud during his presentation, “Journey to Cloud Analytics: How Companies’ Analytics Challenges Can be Solved by Moving to the Cloud.”
When moving analytics and BI workloads to the cloud, companies must develop, design, and deliver their data analytics differently. Faced with so many options to choose from, however, companies are unsure exactly what their analytics journey to the cloud will entail.
“We’re focused on helping customer leverage data to drive business results,” Hoblitzell said.
He cited a Gartner quote that said, “Simply migrating to the cloud with a lift and shift approach does not result in innovation, but it does add another layer of complexity to operations.”
Businesses need self-service data exploration and discovery-oriented forms of advanced analytics. Maturity is now critical to company competiveness and success.
“You really want to get up to creating innovation and agility,” Hoblitzell said. “The cloud is going to help you get there.”
Cloud analytics uses modern data technologies and approaches to achieve their goal with lower costs, faster scalability, and agile implementation.
The annual Data Summit conference returned in-person to Boston, May 17-18, 2022, with pre-conference workshops on May 16.
Many Data Summit 2022 presentations are available for review at https://www.dbta.com/DataSummit/2022/Presentations.aspx.