Efficiently integrating data from multiple data sources is the linchpin for successful data science projects. Data virtualization provides an environment to leverage business analysts’ domain knowledge and SQL skills and offload the data prep and integration work from data scientists. Further, the data virtualization environment also provides reusability of integrated data along with higher performance SQL data access.
In this session, you will learn:
- How to leverage a business semantic layer for improved data science project
- How data virtualization’s optimized SQL query engine is an advantage in data science
- How data virtualization improves data reusability and freshness in data science