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Pipelines and Data Flows: Introduction to Data Integration in Azure Synapse Analytics (Data Toboggan 2021)
- 1. © 2021 Cathrine Wilhelmsen (hi@cathrinew.net)
Pipelines & Data Flows:
Introduction to Data Integration
in Azure Synapse Analytics
Cathrine Wilhelmsen
Data Toboggan · January 30th, 2021
- 2. © 2021 Cathrine Wilhelmsen (hi@cathrinew.net)
Session Abstract
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 -
without having to write any code!
In this session, we will cover the fundamentals of data integration in Azure Synapse Analytics.
First, we will go through what Pipelines and Data Flows are. Then, we will quickly build a
solution for ingesting and transforming data. Finally, we will look at how to orchestrate and
schedule our pipelines, and how to monitor our solution once it has been deployed.
- 5. © 2021 Cathrine Wilhelmsen (hi@cathrinew.net)
Relational Data
Data Warehouse
Big Data
Data Lake
- 6. © 2021 Cathrine Wilhelmsen (hi@cathrinew.net)
Relational Data
Data Warehouse
Big Data
Data Lake
- 7. © 2021 Cathrine Wilhelmsen (hi@cathrinew.net)
Relational Data
Data Warehouse
Big Data
Data Lake
- 9. © 2021 Cathrine Wilhelmsen (hi@cathrinew.net)
Data Integration in Azure Synapse
Code-Heavy
Scripts, Notebooks
Low-Code
Pipelines, Data Flows
- 10. © 2021 Cathrine Wilhelmsen (hi@cathrinew.net)
Data Integration in Azure Synapse
Copy Data Transform Data
- 15. © 2021 Cathrine Wilhelmsen (hi@cathrinew.net)
What are Linked Services?
- 27. © 2021 Cathrine Wilhelmsen (hi@cathrinew.net)
Code-Heavy
Scripts, Notebooks
Low-Code
Pipelines, Data Flows
- 28. © 2021 Cathrine Wilhelmsen (hi@cathrinew.net)
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