This is a single day Instructor Lead Course designed to give the learners instruction on the SQL dedicated and serverless Spark pools and providing instruction of data wrangling and the ELT process using Synapse Pipelines which is very similar to those familiar with Azure Data Factory (ADF) to move data into the Synapse dedicated pool database.
Предварительные требования:
There are no prerequisites for this course.
Аудитория курса:
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.
1 - Introduction to Azure Synapse Analytics
What is Azure Synapse Analytics
How Azure Synapse Analytics works
When to use Azure Synapse Analytics
2 - Use Azure Synapse serverless SQL pool to query files in a data lake
Understand Azure Synapse serverless SQL pool capabilities and use cases
Query files using a serverless SQL pool
Create external database objects
3 - Analyze data with Apache Spark in Azure Synapse Analytics
Get to know Apache Spark
Use Spark in Azure Synapse Analytics
Analyze data with Spark
Visualize data with Spark
4 - Use Delta Lake in Azure Synapse Analytics
Understand Delta Lake
Create Delta Lake tables
Create catalog tables
Use Delta Lake with streaming data
Use Delta Lake in a SQL pool
5 - Analyze data in a relational data warehouse
Design a data warehouse schema
Create data warehouse tables
Load data warehouse tables
Query a data warehouse
6 - Build a data pipeline in Azure Synapse Analytics
Understand pipelines in Azure Synapse Analytics
Create a pipeline in Azure Synapse Studio
Define data flows
Run a pipeline
