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Skill Details
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Skill Details
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Skill Category
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Is Accredited
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Is Accredited
No
Is Accredited
Yes
Is Apprenticeship
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Is Apprenticeship
No
Is Apprenticeship
Yes
Skill Overview
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In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage.
Learning Objectives
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1 - Introduction to data engineering on Azure What is data engineering? Important data engineering concepts Data engineering in Microsoft Azure 2 - Introduction to Azure Data Lake Storage Gen2 Understand Azure Data Lake Storage Gen2 Enable Azure Data Lake Storage Gen2 in Azure Storage Compare Azure Data Lake Store to Azure Blob storage Understand the stages for processing big data Use Azure Data Lake Storage Gen2 in data analytics workloads 3 - Introduction to Azure Synapse Analytics What is Azure Synapse Analytics How Azure Synapse Analytics Works When to use Azure Synapse Analytics 4 - 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 5 - Use Azure Synapse serverless SQL pools to transform data in a data lake Transform data files with the CREATE EXTERNAL TABLE AS SELECT statement Encapsulate data transformations in a stored procedure Include a data transformation stored procedure in a pipeline 6 - Create a lake database in Azure Synapse Analytics Understand lake database concepts Explore database templates Create a lake database Use a lake database 7 - 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 8 - Transform data with Spark in Azure Synapse Analytics Modify and save dataframes Partition data files Transform data with SQL 9 - 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 10 - Analyze data in a relational data warehouse Design a data warehouse schema Create data warehouse tables Load data warehouse tables Query a data warehouse 11 - Load data into a relational data warehouse Load staging tables Load dimension tables Load time dimension tables Load slowly changing dimensions Load fact tables Perform post load optimization
Funding Option
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Fully funded
Part funded / Co-invested
Commercial
Funding Eligibility
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Skill Price ex VAT (£)
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Skill Length
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1 Hour or less
1 Day or Less
2 Days to 1 Week
2 to 6 Weeks
7 Weeks +
Skill Level
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Beginner
Intermediate
Advanced
Skill Timings
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Course is delivered anytime between Mon-Fri 9am-5pm
Evening
Weekend
Flexible
Delivery Method
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Physical location
eLearning
Virtual classroom
Blended
Flexible
Skill Eligibility (Prerequisites for skill/software requirements)
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Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions. AZ-900T00 Microsoft Azure Fundamentals DP-900T00 Microsoft Azure Data Fundamentals
Last Application Date
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Skill Enrolment
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Weekly
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Based on Demand
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Skill Enquiry Details
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Are you a company owner or senior decision maker?
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Are you a company owner or senior decision maker?
No
Are you a company owner or senior decision maker?
Yes
No. of Delegates
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Would you like to explore skills support for your organisation through GM Business Growth Hub?
Would you like to explore skills support for your organisation through GM Business Growth Hub?
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Would you like to explore skills support for your organisation through GM Business Growth Hub?
Yes
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I accept the Terms and Conditions and Privacy Policy
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