Watch the Webinar

The cloud makes everything easy—maybe too easy. Even with first-hand experience integrating enterprise data for analytics, it’s easy to forget the lessons of the past. For instance, freshly minted developers want to code data pipelines in Python and R, but experts know that success depends not on the quality of code, but how often it gets reused, how understandable it is, and how many tests are built around the code. Experts also understand that things like data quality, data governance, data lineage, data privacy, master data, DataOps, data preparation, and curated metadata (i.e., data catalogs) spell the difference between success and failure of an enterprise data project. This webinar will provide a checklist of items that every enterprise developer should consider when designing and implementing a cloud data warehouse. It will also present a maturity model to gauge your capabilities against peers.

You Will Learn:

- The range of cloud data management capabilities.

- The components of a leading data management capability.

- How to gauge your cloud data maturity.

- How to increase your cloud data capabilities.

Sponsor: Informatica