Prerequisite: None
Data warehousing continues to evolve. As organizations collect and analyze large amounts of disparate and diverse data, they are often looking to modernize their data warehousing environments to support new use cases, such as powering the machine learning pipeline at the heart of enterprise AI. This may include converging the data warehouse and data lake, centralizing data in a cloud environment, or unifying data across a hybrid environment. It may include deploying modern pipelines. However, succeeding with modern data management is not just about the technology; it can include new organizational models and new ways to govern data as well as utilizing new technology paradigms.
Join TDWI VP of Research Fern Halper, Ph.D., as she discusses some of the best practices we see at TDWI for succeeding in modern data management. Topics include:
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Organizational best practices
- Unifying the data foundation
- Data management for analytics
- Data governance practices for modern data management