In most organizations, a data engineer is the primary role responsible for integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions. An Azure data engineer also helps ensure that data pipelines and data stores are high-performing, efficient, organized, and reliable, given a specific set of business requirements and constraints.
What is data engineering
Important data engineering concepts
Data engineering in Microsoft Azure
Understand Azure Synapse serverless SQL pool capabilities and use cases
Query files using a serverless SQL pool
Create external database objects
Exercise - Query files using a serverless SQL pool
Get to know Apache Spark
Use Spark in Azure Synapse Analytics
Analyze data with Spark
Visualize data with Spark
Exercise - Analyze data with Spark
Get to know Apache Spark
Use Spark in Azure Synapse Analytics
Analyze data with Spark
Visualize data with Spark
Exercise - Analyze data with Spark
What is Azure Synapse Analytics
How Azure Synapse Analytics works
When to use Azure Synapse Analytics
Exercise - Explore Azure Synapse Analytics
Design a data warehouse schema
Create data warehouse tables
Load data warehouse tables
Query a data warehouse
Exercise - Explore a data warehouse
Understand hybrid transactional and analytical processing patterns
Describe Azure Synapse Link
. . .