Business Intelligence implementation using Microsoft SQL Server 2016 (based on MOC#20767 and MOC#20768)
The main coal of this five-day instructor-led course is to provide students with the knowledge and skills to provision a Microsoft SQL Server 2016 database. The course covers SQL Server 2016 provision both on-premise and in Azure, and covers installing from new and migrating from an existing install.
- Module 1: Designing and Implementing a Data Warehouse
- Module 2: Columnstore Indexes
- Module 3: Implementing an Azure SQL Data Warehouse
- Module 4: Creating an ETL Solution
- Module 5: Implementing Control Flow in an SSIS Package
- Module 6: Implementing a Data Extraction Solution
- Module 7: Enforcing Data Quality
- Module 8: Using Master Data Services
- Module 9: Implementing Master Data Services
- Module 10: Deploying and configuring SSIS Packages
- Module 11: Consuming Data in a Data Warehouse
- Module 12: Introduction to Business Intelligence and Data Modeling
- Module 13: Creating Multidimensional Databases
- Module 14: Working with Cubes and Dimensions
- Module 15: Working with Measures and Measure Groups
- Module 16: Introduction to MDX
- Module 17: Customizing Cube Functionality
- Module 18: Implementing a Tabular Data Model by Using Analysis Services
- Module 19: Introduction to Data Analysis Expression (DAX)
- Module 20: Performing Predictive Analysis with Data Mining
- Provision a Database Server.
- Upgrade SQL Server.
- Configure SQL Server.
- Manage Databases and Files (shared).
- Describe the components, architecture, and nature of a BI solution
- Create a multidimensional database with Analysis Services
- Implement dimensions in a cube
- Implement measures and measure groups in a cube
- Use MDX syntax
- Customize a cube
- Implement a tabular database
- Use DAX to query a tabular model
- Use data mining for predictive analysis
- Working knowledge of relational databases.
- Working knowledge of Transact-SQL.
- Some experience with database design.
- This course is NOT recommended to junior developers.
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