The Data Warehouse is the heart of any Modern Data Stack. Organization-wide data is essential in order to create a single source of truth. The question here is whether you should build a data warehouse, data lake, or a data lakehouse. Join this session to explore the options that are available and how you can evaluate multiple vendors for your use case.

Organizations are faced with the difficult task of designing architectures to make the most of their data, often resulting in complex systems that are difficult to maintain and scale. Snowflake’s platform supports a variety of data types and workloads at scale, so organizations can easily implement their architectural design pattern of choice, including data lakes, data warehouses, and more. In this session, hear from product managers Saurin Shah and James Malone on Snowflake’s vision for data storage to simplify data architectures, including demos of recent innovations.

Can the Lakehouse meet all your analytics needs or do you need a Data Lake and a Data Warehouse working in parallel? Join us on this live stream to learn when one works better than the other, or, do you really need the combination to win? Our speakers David, Justin, and Chris will debate the different use cases and architectures to determine what is necessary for a data-driven business.

Join The Data Chief Live on October 7 to go beyond the buzz on all things data mesh, lakehouse, and data warehouse. Gain clarity on what is hype, what is real, and how others are delivering business value faster with modern data platforms and processes. You'll hear live from Darren Pedroza, VP Enterprise Data and Analytics, First Command Financial Services, Inc., Zhamak Dehghani, Director of Emerging Technologies at Thoughtworks & author of The Data Mesh, Chris D'Agostino, Global Field CTO Databricks & me.