Microsoft Azure Course

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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.

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.

Outline

MODULE 1: Introduction to Azure Synapse Analytics

Learn about the features and capabilities of Azure Synapse Analytics - a cloud-based platform for big data processing and analysis.

Introduction
What is Azure Synapse Analytics
How Azure Synapse Analytics works
When to use Azure Synapse Analytics
Exercise - Explore Azure Synapse Analytics
Knowledge check
Summary

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

With Azure Synapse serverless SQL pool, you can leverage your SQL skills to explore and analyze data in files, without the need to load the data into a relational database.

Introduction
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
Knowledge check
Summary

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

Apache Spark is a core technology for large-scale data analytics. Learn how to use Spark in Azure Synapse Analytics to analyze and visualize data in a data lake.

Introduction
Get to know Apache Spark
Use Spark in Azure Synapse Analytics
Analyze data with Spark
Visualize data with Spark
Exercise - Analyze data with Spark
Knowledge check
Summary

MODULE 4:Use Delta Lake in Azure Synapse Analytics

Delta Lake is an open source relational storage area for Spark that you can use to implement a data lakehouse architecture 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
Exercise - Use Delta Lake in Azure Synapse Analytics
Knowledge check
Summary

MODULE 5: Analyze data in a relational data warehouse

Relational data warehouses are a core element of most enterprise Business Intelligence (BI) solutions, and are used as the basis for data models, reports, and analysis.

Introduction
Design a data warehouse schema
Create data warehouse tables
Load data warehouse tables
Query a data warehouse
Exercise - Explore a data warehouse
Knowledge check
Summary

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Thinking about Onsite?

If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. Its a cost effective option. One on one training can be delivered too, at reasonable rates.

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SPVC = Self Paced Virtual Class

LVC = Live Virtual Class

Please Note: All courses are availaible as Live Virtual Classes

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Implementing a Data Analytics Solution with Azure Synapse Analytics