The lakehouse design paradigm is becoming more mainstream as tools like Azure Synapse and Databricks make querying lake-based data simple, and bring a huge amount of power. But there is yet to emerge a defacto industry standard in serving a lake-based model to end users, and with a growing number of options it can be difficult make a decision that best fits your scenario.

In this session we will establish a benchmark of what we're looking for in a good data serving layer. We will then review the serving options currently available to evaluate how well they meet our requirements, any additional benefits and some potential pitfalls and things to avoid with each. You will leave the session equipped with everything you need to open up your lake to the wider business and harness the power of the lakehouse model.