The use of data lakes continue to grow, and a recent survey by Eckerson Group shows that organizations are getting real value from their deployments. However, there’s still a lot of room for improvement when it comes to giving business users access to the wealth of potential insights in the data lake.
While the data management aspect has been fairly well understood over the years, the success of business intelligence (BI) and analytics on data lakes lags behind. In fact, organizations often struggle with data lakes because they are only accessible by highly-skilled data scientists and not by business users. But BI tools have been able to access data warehouses for years, so what gives?
In this talk, we’ll discuss:
- Why traditional BI tools are architected well for data warehouses, but not data lakes.
- Why every organization should have two BI standards: one for data warehouses and one for data lakes.
- Innovative capabilities provided by BI for data lakes
Watch this presentation by Randy Lea (CRO of Arcadia Data) to learn more.
Chief Revenue Officer
Randy Lea is charged with leading the strong sales momentum at Arcadia Data in his role as Chief Revenue Officer. Passionate about solving customer problems by leveraging analytics and data, Lea was an early participant in the data warehouse/BI analytics market. His impressive experience as part of the Arcadia Data executive team stems from prior leadership positions at companies including Aster Data, Think Big Analytics, and Teradata. Lea has a bachelors degree in Marketing from California State University, Fullerton.