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Data Engineer’s perspective on storing data in Fabric: Lakehouse or Warehouse?
🏭 Data Engineer's Perspective: Storing Data in Fabric - Lakehouse or Warehouse? A Complete Guide! 📊🔍 Join us in another insightful episode of our Data Engine
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.
- What is a lakehouse in Microsoft Fabric?
- What is data warehousing in Microsoft Fabric?
- Microsoft Fabric decision guide: data warehouse or lakehouse
Follow Estera Kot and Ted Vilutis on LinkedIn and Twitter to stay updated. Don't forget to like, comment, and subscribe to the series for updates on latest videos.
Fabric's Data Storage: A Closer Look
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.
Learn about Data Engineer’s perspective on storing data in Fabric: Lakehouse or Warehouse?
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.
More links on about Data Engineer’s perspective on storing data in Fabric: Lakehouse or Warehouse?
- Data Lakehouse vs Data Warehouse in Microsoft Fabric
- Jun 16, 2023 — The Data Warehouse is aimed at those with more traditional SQL development skills whereas the Lakehouse is geared towards those who use Spark.
- Lakehouse VS. Warehouse VS. Datamart - The Difference ...
- Jun 9, 2023 — Lakehouse is one of the Microsoft Fabric objects under the Data Engineering workloads. It stores the data behind the scene in OneLake.
- Lakehouse end-to-end scenario: overview and architecture
- Jun 22, 2023 — These two systems ran in parallel, creating silos, data duplication, and increased total cost of ownership. Fabric with its unification of data ...
- Lakehouse vs. Data Warehouse: Which to Choose When ...
- Jun 17, 2023 — The main concept behind Microsoft Fabric is that it's centered around the idea of a “lake”, or in other words, a single, central location where ...
- Microsoft Fabric: Data Engineer perspective on loading ...
- A Data Engineer offers an insightful perspective on uploading data for Fabric, a comprehensive analytics solution for enterprises. This topic was addressed ...
- Microsoft Fabric — exploring the Data Engineering Services
- Jul 4, 2023 — Create a Lakehouse to store and manage structured and unstructured data. Once created, it can be explored further by the Lakehouse explorer.
Keywords
Data Storage Fabric, Lakehouse vs Warehouse, Data Engineering, Data Science, Microsoft Fabric Decision Guide, Fabric Storage Options, Estera Kot, Ted Vilutis
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