Overview
This 5 day course provides 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.
Admission Requirements
In addition to their professional experience, students who attend this training should already have the following technical knowledge:
Basic knowledge of the Microsoft Windows operating system and its core functionality.
Working knowledge of relational databases.
Some experience with database design.
Available Exams and Certifications
This course will help you you prepare for the Exam 70-767. CLICK HERE to learn more about this exam.
This course contributes towards earning your MCSA: SQL 2016 BI Development. CLICK HERE to learn more.
Course Outcomes
After completing this course, students will be able to:
- Provision a Database Server.
- Upgrade SQL Server.
- Configure SQL Server.
- Manage Databases and Files (shared).
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Module 1: Introduction to Data Warehousing
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Lecture 2.1Overview of Data Warehousing
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Lecture 2.2Considerations for a Data Warehouse Solution
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Module 2: Planning Data Warehouse Infrastructure
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Lecture 3.1Considerations for data warehouse infrastructure.
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Lecture 3.2Planning data warehouse hardware.
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Module 3: Designing and Implementing a Data Warehouse
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Lecture 4.1Designing dimension tables
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Lecture 4.2Designing fact tables
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Lecture 4.3Physical Design for a Data Warehouse
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Module 4: Columnstore Indexes
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Lecture 5.1Introduction to Columnstore Indexes
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Lecture 5.2Creating Columnstore Indexes
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Lecture 5.3Working with Columnstore Indexes
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Module 5: Implementing an Azure SQL Data Warehouse
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Lecture 6.1Advantages of Azure SQL Data Warehouse
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Lecture 6.2Implementing an Azure SQL Data Warehouse
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Lecture 6.3Developing an Azure SQL Data Warehouse
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Lecture 6.4Migrating to an Azure SQ Data Warehouse
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Lecture 6.5Copying data with the Azure data factory
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Module 6: Creating an ETL Solution
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Lecture 7.1Introduction to ETL with SSIS
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Lecture 7.2Exploring Source Data
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Lecture 7.3Implementing Data Flow
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Module 7: Implementing Control Flow in an SSIS Package
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Lecture 8.1Introduction to Control Flow
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Lecture 8.2Creating Dynamic Packages
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Lecture 8.3Using Containers
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Lecture 8.4Managing consistency
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Module 8: Debugging and Troubleshooting SSIS Packages
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Lecture 9.1Debugging an SSIS Package
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Lecture 9.2Logging SSIS Package Events
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Lecture 9.3Handling Errors in an SSIS Package
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Module 9: Implementing a Data Extraction Solution
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Lecture 10.1Introduction to Incremental ETL
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Lecture 10.2Extracting Modified Data
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Lecture 10.3Loading modified data
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Lecture 10.4Temporal Tables
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Module 10: Enforcing Data Quality
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Lecture 11.1Introduction to Data Quality
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Lecture 11.2Using Data Quality Services to Cleanse Data
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Lecture 11.3Using Data Quality Services to Match Data
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Module 11: Using Master Data Services
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Lecture 12.1Introduction to Master Data Services
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Lecture 12.2Implementing a Master Data Services Model
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Lecture 12.3Hierarchies and collections
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Lecture 12.4Creating a Master Data Hub
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Module 12: Extending SQL Server Integration Services (SSIS)
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Lecture 13.1Using scripting in SSIS
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Lecture 13.2Using custom components in SSIS
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Module 13: Deploying and Configuring SSIS Packages
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Lecture 14.1Overview of SSIS Deployment
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Lecture 14.2Deploying SSIS Projects
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Module 14: Consuming Data in a Data Warehouse
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Lecture 15.1Introduction to Business Intelligence
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Lecture 15.2An Introduction to Data Analysis
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Lecture 15.3Introduction to reporting
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Lecture 15.4Analyzing Data with Azure SQL Data Warehouse
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