Key Takeaways
- Understanding the significance, benefits, and requirements of a sustainable data warehouse architecture for modern enterprises.
- Learning how automation can be used to design and develop data architectures for modern analytics ecosystems.
- A quick demonstration of an end-to-end data warehouse automation tool: Astera DW Builder.
WEBINAR
Using Automation to Build a Sustainable Data Warehouse
About the webinar
Due to recent developments in data management—e.g., self-service, data lakes, data mesh, Hadoop, cloud—and ever-changing data requirements, the role of data warehouses in modern analytics ecosystems has changed significantly.
Data warehouses need to evolve architecturally and technologically to serve the needs of data-driven enterprises. This is where a sustainable data warehouse architecture comes in.
William McKnight
William McKnight is president of McKnight Consulting Group, which provides clients with action plans, architectures, strategies, complete programs and vendor-neutral tool selection to manage information.
Jay Mishra
Jay Mishra is a seasoned data architect and software solutions expert with over two decades of experience.
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Authors:
Muhammad Umer
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