Evolution of Data Architectures and How to Build a Lakehouse

Data architectures are the key and part of a larger picture to building robust analytical and AI applications. One must take a holistic view of the entire data analytics realm when it comes to planning for data science initiatives.

Through this talk, learn about the evolution of the data landscape and why Lakehouses are becoming a de facto for organizations building scalable data architectures. A lakehouse architecture combines data management capability including reliability, integrity, and quality from the data warehouse and supports all data workloads including BI and AI with the low cost and open approach of data lakes.

Data Practitioners will also learn some core concepts of building an efficient Lakehouse with Delta Lake.

Connect with us:

[YashGautam]

Great, thanks for sharing!
At 17:07, she says 'If you are in a netflix competition, the first winner wins and second winner finds a company like Databricks.' What does this mean?

[wjtbybw]

Good presentation but technology is just part of the story. You will need robust data governance to realise value