Implementing a Data Analytics Solution with Azure Synapse Analytics (DP-3012)

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.

Course Information

Price: $695.00

Duration: 1 day

Certification:

Exam:

Learning Credits:

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Prerequisites:

Target Audience:

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.

Course Objectives:

Students will learn:

Introduction to Azure Synapse Analytics
Use Azure Synapse serverless SQL pool to query files in a data lake
Analyze data with Apache Spark in Azure Synapse Analytics
Use Delta Lake in Azure Synapse Analytics
Analyze data in a relational data warehouse
Build a data pipeline in Azure Synapse Analytics

Course Outline:

Module 1: Introduction to Azure Synapse Analytics

Identify the business problems that Azure Synapse Analytics addresses.
Describe core capabilities of Azure Synapse Analytics.
Determine when to use Azure Synapse Analytics.

Module 2: Use Azure Synapse serverless SQL pool to query files in a data lake

Identify capabilities and use cases for serverless SQL pools in Azure Synapse Analytics
Query CSV, JSON, and Parquet files using a serverless SQL pool
Create external database objects in a serverless SQL pool

Module 3: Analyze data with Apache Spark in Azure Synapse Analytics

Identify core features and capabilities of Apache Spark.
Configure a Spark pool in Azure Synapse Analytics.
Run code to load, analyze, and visualize data in a Spark notebook.

Module 4: Use Delta Lake in Azure Synapse Analytics

Describe core features and capabilities of Delta Lake.
Create and use Delta Lake tables in a Synapse Analytics Spark pool.
Create Spark catalog tables for Delta Lake data.
Use Delta Lake tables for streaming data.
Query Delta Lake tables from a Synapse Analytics SQL pool.

Module 5: Analyze data in a relational data warehouse

Design a schema for a relational data warehouse.
Create fact, dimension, and staging tables.
Use SQL to load data into data warehouse tables.
Use SQL to query relational data warehouse tables.

Module 6: Build a data pipeline in Azure Synapse Analytics

Describe core concepts for Azure Synapse Analytics pipelines.
Create a pipeline in Azure Synapse Studio.
Implement a data flow activity in a pipeline.
Initiate and monitor pipeline runs.