Introduction to Data Integration in Azure Synapse Analytics

Do you regularly need to get data for your projects? Yep! 🙋‍♀️ Data is at the core of every Business Intelligence, Data Science, and Machine Learning project. You need data to understand what has happened in the past, to predict what may happen in the future, to discover patterns and anomalies, and to gain the insight necessary for making faster and better decisions. But before you can do any of those things, you need to ingest, store, transform, integrate, and prepare your data. Guess what? You can do all of those things in Azure Synapse Analytics - with or without having to write any code! In this session, we will cover the fundamentals of data integration in Azure Synapse Analytics. First, we will discuss when Azure Synapse Analytics is the right tool of choice. Then, we will go through what Pipelines, Data Flows, and Notebooks are, and when to use them. Finally, we will see how easy it is to ingest and transform data starting from samples or from scratch.