From Data to Insight – Transform, Enrich & Serve

Mathias Halkjær

Your data lake is brimming with data ready to be put to work – but where do you take it from there? Do you push into a classical SQL Data Warehouse, utilize the new serverless capabilities in Azure Synapse or perhaps more of a Data Lakehouse approach using Spark?

This fourth session of the Azure Data Engineering Learning Pathway will demonstrate the tools and techniques to get more value from your data by properly preparing it for analytics. Whether you are new to data engineering or just want to improve the value you provide, you will leave this session with clear guidance on methods and best practices to prepare your data for insights.

You will be introduced to various approaches to data processing in Azure Synapse, so that you will become able to develop data transformation pipelines suited for data analytics. The whole ordeal will be sprinkled with examples, pitfalls and demos – so that you can see it all for yourself.