Implementing a SQL Data Warehouse (20767 part of MCSA SQL 2016 Business Intelligence)
MBIT Training Ltd
Summary
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- Tutor is available to students
Location & dates
Overview
This 5-day instructor led course describes how to implement a data warehouse platform to support a BI solution. Students will learn how to create a data warehouse with Microsoft® SQL Server® 2016 and with Azure SQL Data Warehouse, to implement ETL with SQL Server Integration Services, and to validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.
Description
This course is available at the following locations:Onsite
Andover
Basingstoke
Bournemouth
Bromsgrove
Camberley
Canterbury
Chatham
Chepstow
Crawley
Dartford
Eastcote
Evesham
Exeter
Folkestone
Gosport
Havant
Haywards Heath
Hereford
High Wycombe
Ipswich
Luton
Malvern
Milton Keynes
Newhaven
Newport
Northfleet
Romsey
Shoreham
Southampton
Swindon
Tewkesbury
Tilbury
Waterlooville
Weymouth
Winchester
Worcester
This 5-day instructor led course describes how to implement a data warehouse platform to support a BI solution. Students will learn how to create a data warehouse with Microsoft® SQL Server® 2016 and with Azure SQL Data Warehouse, to implement ETL with SQL Server Integration Services, and to validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.
At Course Completion:
- Describe the key elements of a data warehousing solution
- Describe the main hardware considerations for building a data warehouse
- Implement a logical design for a data warehouse
- Implement a physical design for a data warehouse
- Create columnstore indexes
- Implementing an Azure SQL Data Warehouse
- Describe the key features of SSIS
- Implement a data flow by using SSIS
- Implement control flow by using tasks and precedence constraints
- Create dynamic packages that include variables and parameters
- Debug SSIS packages
- Describe the considerations for implement an ETL solution
- Implement Data Quality Service
- Implement a Master Data Services model
- Describe how you can use custom components to extend SSIS
- Deploy SSIS projects
- Describe BI and common BI scenarios
(cited from Microsoft Learning website)
Who is this course for?
The primary audience for this course are database professionals who need to fulfil a Business Intelligence Developer role.They will need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing.
Requirements
Experience with Visual Studio coding, ETL and SSIS flowcharts and database administration is important.
Career path
This course forms the first part towards the MCSA SQL 2016 Business Intelligence pathway.
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