DP-3012 : Applied Skill : Implementing a Data Analytics Solution with Azure Synapse Analytics

Audience Profile
The Audience should have familiarity with notebooks that use different languages and a Spark engine, such as Databricks, Jupyter Notebooks, Zeppelin notebooks and more. They should also have some experience with SQL, Python, and Azure tools, such as Data Factory.

Introduction to Azure Synapse Analytics

• Introduction
• What is Azure Synapse Analytics
• How Azure Synapse Analytics works
• When to use Azure Synapse Analytics

Use Azure Synapse serverless SQL pool to query files in a data lake

• Introduction
• Understand Azure Synapse serverless SQL pool capabilities and use cases
• Query files using a serverless SQL pool
• Create external database objects

Analyze data with Apache Spark in Azure Synapse Analytics

• Introduction
• Get to know Apache Spark
• Use Spark in Azure Synapse Analytics
• Analyze data with Spark
• Visualize data with Spark

Use Delta Lake in Azure Synapse Analytics

• Introduction
• Understand Delta Lake
• Create Delta Lake tables
• Create catalog tables
• Use Delta Lake with streaming data
• Use Delta Lake in a SQL pool

Analyze data in a relational data warehouse

• Introduction
• Design a data warehouse schema
• Create data warehouse tables
• Load data warehouse tables
• Query a data warehouse

Build a data pipeline in Azure Synapse Analytics

• Introduction
• Understand pipelines in Azure Synapse Analytics
• Create a pipeline in Azure Synapse Studio
• Define data flows
• Run a pipeline

Before completing this module, you should have the following prerequisite knowledge and experience:

Familiarity with cloud computing concepts and Microsoft Azure.
Familiarity with fundamental data concepts.