Senior Director for Sales, India
Data Engineer, APAC
Are you building a physical or logical data lake?
What will you learn?
So you’re building a data lake to solve your big data challenges. A data lake will allow you to keep all of your raw, detailed data in a single, consolidated repository; therefore, your problem is solved. Or is it? Is it really that easy? Data lakes have their use and purpose, and we’re not here to argue that. However, data lakes on their own are constrained by factors such as duplication of data and therefore higher costs, governance limitations, and the risk of becoming another data silo.
Attend this session to understand:
- The advantages of a logical data lake over a physical data lake
- How to build a logical data lake for all users - not just for data scientists
- How data virtualization can be used to secure and govern the data in a data lake
Spaces are limited; please ensure to register your interest.
- Why use Data Virtualization to build a Data Lake?
- Quiz 1
- Quiz 2