Data Engineering and Data Science Series explores Fabric's data storage options: Lakehouse and Warehouse. These two core methods are suited to manage limitless data quantities, but they have distinct differences. The key factor is understanding which method best suits your requirements.
Guest speakers Estera Kot, Senior Product Manager at Microsoft, and Ted Vilutis, also a Senior Product Manager at Microsoft, lead the discussion. By joining the insightful series, you can unlock the secrets to efficient data storage in Fabric.
Microsoft's Fabric serves as a potent platform for data storage with its efficient tools - Lakehouse and Warehouse. The components allow users to handle unlimited data volumes, providing flexibility and scalability. Making the right choice between Lakehouse and Warehouse depends on individual data needs and storage strategies. Through Microsoft's information-filled series, users are guided on making informed decisions for their data storage needs.
Data Engineers have two core options for storing data in Microsoft Fabric: lakehouse and warehouse. Lakehouse is suited for handling unlimited data volumes, while warehouse is designed for organizing and storing structured data. Both have their own advantages and disadvantages. Key takeaways from this episode include understanding the differences between lakehouse and warehouse, as well as the decision guide for data warehouse or lakehouse provided by Microsoft Fabric. Additionally, viewers should know the names of the speakers and their respective social media profiles.
Data Storage Fabric, Lakehouse vs Warehouse, Data Engineering, Data Science, Microsoft Fabric Decision Guide, Fabric Storage Options, Estera Kot, Ted Vilutis