Time: 10 AM PT, San Francisco (8 PM, Kyiv)
Duration: Approximately 60 minutes.
Presented by: Alex Gorelik
Questions? Please send email to firstname.lastname@example.org
Big data and data science promise to bring unprecedented levels of insight and efficiency to everything from working with data and working with customers to curing cancer. To successfully deliver on this promise, traditional enterprises are building data lakes, which bridge the gap between enterprise data warehouses, where data is a precious commodity carefully tended to by professional IT personnel, and the freewheeling culture of modern Internet companies.
- How to start and grow a data lake, including data warehouse offloading, analytical sandboxes, and “data puddles”
- Setting up different tiers of data—from raw, untreated landing areas to carefully managed and summarized data
- How to enable self-service to help users find, understand, and provision data and provide different interfaces to users with different skill levels
- Staying in compliance with enterprise data-governance policies
About Alex Gorelik
Alex Gorelik is the founder and CEO of Waterline Data, a startup focused on enhancing the value of Hadoop through data self-service and governance. Alex is a serial entrepreneur and innovator who has spent over 30 years inventing and bringing to market cutting-edge data-oriented technology. Alex holds a BS in computer science from Columbia University’s School of Engineering and a master’s degree in computer science from Stanford University.