The use of data lakes continue to grow, and a recent survey by the 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—not business users. BI tools have been able to access data warehouses for years, so what gives?
Randy Lea explains why existing 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— and the innovative capabilities provided by BI for data lakes.
This session is sponsored by Arcadia Data.
Randy Lea is chief revenue officer at Arcadia Data, where he is charged with leading the company’s sales momentum. Randy is passionate about solving customer problems by leveraging analytics and data. An early participant in the data warehouse and BI analytics market, he has held leadership positions at companies including Aster Data, Think Big Analytics, and Teradata. Randy holds a bachelor’s degree in marketing from California State University, Fullerton.
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