Data Warehousing and Data Lakes: The Big Picture
Learn how to apply native business intelligence to your data lake.
Hosted by Eric Kavanagh, CEO of Bloor Group, with guests:
Founder and Principal Consultant
VP of Marketing
Director of Product Marketing
Sr. Product Marketing Manager
Traditional business intelligence tools and pipelines built for the data warehouse still require that data is modeled, aggregated, and secured in separate tiers as it makes it way from the lake to a BI server to an actual business analyst or user.
Time-to-insight remains a challenge, and potential insights are limited if analysts are left with summarized data without the ability to drill to detail.
Join this podcast to hear how native BI for data lakes can help you overcome these pitfalls. With native BI for data lakes, you can:
- Give business analysts direct access to raw data in the data lake. No more summarizing data and moving it to a BI server. No heavy modeling before analytic discovery can start.
- Ensure that your lake remains secure. Native BI technologies for data lakes inherit the securities and permissions of your underlying data lake.
- Accelerate time-to-insights. Native BI for data lakes enables you to scale data lake access and insights for your enterprise.
Listen now to learn more!
More about our presenters:
Founder and Principal Consultant of Eckerson Group.
Wayne has been a thought leader in the business intelligence and analytics field since the early 1990s.
VP Marketing of Arcadia Data
Steve is a 15-year veteran of enterprise software in both large public companies and early-stage start-ups and has a passion for bringing innovative technology to market.
Director of Product Marketing at Denodo.
Before joining Denodo, Lakshmi was a Research Director at Gartner covering Data Warehousing, Data Integration, Big Data, Information Management, and Analytics practices.
Sr. Product Marketing Manager at Cloudera.
Prior to Cloudera, Alexandra managed marketing and PR for Basho Technologies.