Lakehouse vs Data Warehouse vs KQL Database: Use Cases and Architecture Designs

Lakehouse vs Data Warehouse vs KQL Database: Use Cases and Architecture Designs

Excited to dive into the world of data architecture? Join us at Microsoft Norway to learn which architecture designs and solutions are best for analytics in Fabric, what to choose for building your solution – Lakehouse, Data Warehouse or KQL Database and where to start?

You will find all the answers during this training day!

We will dive into all 3 items - Lakehouse, Data Warehouse and KQL Database to learn their specifics and their best usage. We will emphasize the main differences and talk about typical uses cases. Then we will pay a special attention to common Architecture Designs for using Data Warehouse, Data Lakehouse, and Real-Time Analytics/KQL Database. At the end you will discover how your data estate for analytics data warehousing/reporting will change or differ from existing designs and how to choose the right path moving forward.

This training day will give you a very good understanding of the differences between the Data Warehouse, Data Lakehouse, and KQL Database, and most important it will explore for you possible Fabric solution designs and use cases to get the best of the Data Warehouse, Data Lakehouse, and Real-Time Analytics/KQL Database.

Isn’t it that you need to know to start or continue your journey to a Modern Analytics Platform in Fabric as data engineer or data architect?

Host or Publisher Data Saturday Oslo