This course runs for a duration of 1 Day.
The class will run daily from 8 AM CT to 4 PM CT.
Class Location: Virtual LIVE Instructor Led - Virtual Live Classroom.
Course Overview
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.
Who Should Attend?
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.
What You'll Learn
Students will learn,
1 - Introduction to Azure Synapse Analytics
2 - Use Azure Synapse serverless SQL pool to query files in a data lake
3 - Analyze data with Apache Spark in Azure Synapse Analytics
4 - Use Delta Lake in Azure Synapse Analytics
5 - Analyze data in a relational data warehouse
6 - Build a data pipeline in Azure Synapse Analytics
7 - Use Azure Synapse serverless SQL pool to query files in a data lake
8 - Use Azure Synapse serverless SQL pools to transform data in a data lake
9 - Create a lake database in Azure Synapse Analytics
10 - Secure data and manage users in Azure Synapse serverless SQL pools
11 - Analyze data with Apache Spark in Azure Synapse Analytics
12 - Transform data with Spark in Azure Synapse Analytics
13 - Use Delta Lake in Azure Synapse Analytics
14 - Analyze data in a relational data warehouse
15 - Load data into a relational data warehouse
16 - Manage and monitor data warehouse activities in Azure Synapse Analytics
17 - Secure a data warehouse in Azure Synapse Analytics
18 - Build a data pipeline in Azure Synapse Analytics
19 - Use Spark Notebooks in an Azure Synapse Pipeline