Sponsored by: Onehouse | It’s Time to Make Your Data Lakehouse Universal

We are at a crossroads that will determine the pace of data innovation for the next decade. Today’s data needs don’t stop at traditional analytics. Data science, ML, and real-time streaming are all mainstream. Emerging AI use cases such as deep learning and LLMs are leading to the rise of new specialized tools and compute frameworks. The conventional wisdom of picking just one warehouse or lake engine upfront negates the advantages of using the best tool for the job. In this talk, we trace the origins of cloud data architectures and summarize the rich set of choices the cloud ecosystem offers. We present a simple, battle-tested way to organize your data for success, using lessons from operating some of the world’s largest data systems at LinkedIn and Uber—the Universal Data Lakehouse Architecture. Come learn how you can unify your data to reduce costs, accelerate performance, and bring freedom to use the query engines of your choice with the Universal Data Lakehouse.