What you’ll learn
After completing this course, students will be able to:
Explore compute and storage options for data engineering workloads in Azure
Run interactive queries using serverless SQL pools
Perform data Exploration and Transformation in Azure Databricks
Explore, transform, and load data into the Data Warehouse using Apache Spark
Ingest and load Data into the Data Warehouse
Transform Data with Azure Data Factory or Azure Synapse Pipelines
Integrate Data from Notebooks with Azure Data Factory or Azure Synapse Pipelines
Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link
Perform end-to-end security with Azure Synapse Analytics
Perform real-time Stream Processing with Stream Analytics
Create a Stream Processing Solution with Event Hubs and Azure Databricks
Microsoft Azure at Lumify Work
Lumify Work has been delivering effective training across all Microsoft products for over 30 years. We are proud to be both Australia's and New Zealand’s first Microsoft Gold Learning Solutions Partner and the winner of the Microsoft MCT Superstars Award for FY24, which formally recognises us as having the highest quality Microsoft Certified Trainers (MCTs) in ANZ. All Lumify Work Microsoft Azure courses follow Microsoft Official Curriculum (MOC) and are led by MCTs.
Who is the course for?
The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure.
The secondary audience for this course is data analysts and data scientists who work with analytical solutions built on Microsoft Azure.
Course subjects
Introduction to data engineering on Azure
Introduction to Azure Data Lake Storage Gen2
Introduction to Azure Synapse Analytics
Use Azure Synapse serverless SQL pool to query files in a data lake
Use Azure Synapse serverless SQL pools to transform data in a data lake
Create a lake database in Azure Synapse Analytics
Analyse data with Apache Spark in Azure Synapse Analytics
Transform data with Spark in Azure Synapse Analytics
Use Delta Lake in Azure Synapse Analytics
Analyse data in a relational data warehouse
Load data into a relational data warehouse
Build a data pipeline in Azure Synapse Analytics
Use Spark Notebooks in an Azure Synapse Pipeline
Plan hybrid transactional and analytical processing using Azure Synapse Analytics
Implement Azure Synapse Link with Azure Cosmos DB
Implement Azure Synapse Link for SQL
Get started with Azure Stream Analytics
Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics
Visualise real-time data with Azure Stream Analytics and Power BI
Introduction to Microsoft Purview
Integrate Microsoft Purview and Azure Synapse Analytics
Explore Azure Databricks
Use Apache Spark in Azure Databricks
Run Azure Databricks Notebooks with Azure Data Factory
Prerequisites
Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions.
Specifically completing:
FREE E-BOOK: The New Era of Cloud Computing
We've created this e-book to assist you on your cloud journey, from defining the optimal cloud infrastructure and choosing a cloud platform, to security in the cloud and the core challenges in moving to the cloud.
Terms & Conditions
The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.
