From Single Purpose to Multi-Purpose Data Lakes - Broadening End Users
Historically data lakes have been created as centralized physical data storage platform for data scientists to analyze data. But lately the explosion of big data, data privacy rules, departmental restrictions among many other things have made the centralized data repository approach less feasible.
In this session, you will learn
• The restrictions of physical single purpose data lakes
• How to build a logical multi purpose data lake for business users
• The newer use cases that make multi purpose data lakes a necessity