Implementing a SQL Data Warehouse 2016 Training (M20767)
| Commitment | 5 days, 7-8 hours a day. |
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings | Average User Rating 4.8 See what learners said |
| Price | $2,995.00 |
| Delivery Options | Instructor-Led Onsite, Online, and Classroom Live |
Course Overview
Implementing a SQL Data Warehouse 2016 Training (M20767) Course – Hands-on
In Implementing a SQL Data Warehouse 2016 Training (M20767) course, provides students with the knowledge and skills to provision a Microsoft SQL Server database. The course covers SQL Server provision both on-premise and in Azure, and covers installing from new and migrating from an existing install. This course incorporates material from the Official Microsoft Learning Product 20767: and it can assist you in your preparation for Exam 70-767: Implementing a SQL Data Warehouse.
Implementing a SQL Data Warehouse 2016 Training (M20767) Course – Customize it
- We can adapt this training course to your group’s background and work requirements at little to no added cost.
- If you are familiar with some aspects of this training course, we can omit or shorten their discussion.
- We can adjust the emphasis placed on the various topics or build the training around the mix of technologies of interest to you (including technologies other than those included in this outline).
- If your background is nontechnical, we can exclude the more technical topics, include the topics that may be of special interest to you (e.g., as a manager or policy-maker), and present the training course in manner understandable to lay audiences.
Implementing a SQL Data Warehouse 2016 Training (M20767) Course – Audience/Target Group
The target audience for this training course:
- Database professionals who need to fulfill a BI developer role focused on hands-on work by creating BI solutions, including data warehouse implementation, ETL and data cleansing
- Database professionals responsible for implementing a data warehouse, developing SSIS packages for data ETL, enforcing data integrity using Microsoft Data Services and cleansing data using Data Quality Services
Implementing a SQL Data Warehouse 2016 Training (M20767) Course – Class Prerequisites
The knowledge and skills that a learner must have before attending this training course are:
- Basic knowledge of the Microsoft Windows operating system and its core functionality.
- Working knowledge of relational databases.
- Some experience with database design.
- Querying Data with Transact-SQL 2016 Training (M20761)
Implementing a SQL Data Warehouse 2016 Training (M20767) Course – Objectives:
Upon completing this training course, learners will be able to meet these objectives:
- Describe the key elements of a data warehousing solution
- Describe the main hardware consideration 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 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 Services
- Implement a Maser Data Services model
- Describe how you can use custom components to extend SSIS
- Deploy SSIS projects
- Describe BI and common BI scenarios
Course Syllabus
Implementing a SQL Data Warehouse 2016 Training (M20767) – Course Content
1. Introduction to Data Warehousing
- Overview of Data Warehousing
- Considerations for a Data Warehouse Solution
2. Planning Data Warehouse Infrastructure
- Considerations for Building a Data Warehouse
- Planning data warehouse hardware
3. Designing and Implementing a Data Warehouse
- Data warehouse design overview
- Designing dimension tables
- Designing fact tables
- Physical Design for a Data Warehouse
4. Columnstore Indexes
- Introduction to Columnstore Indexes
- Creating Columnstore Indexes
- Working with Columnstore Indexes
5. Implementing an Azure SQL Data Warehouse
- Advantages of Azure SQL Data Warehouse
- Implementing an Azure SQL Data Warehouse
- Developing an Azure SQL Data Warehouse
- Migrating to an Azure SQ Data Warehouse
- Copying data with Azue data factory
6. Creating an ETL Solution
- Introduction ETL with SSIS
- Exploring Source Data
- Implementing Data Flow
7. Implementing Control Flow in an SSIS Package
- Introduction to Control Flow
- Creating Dynamic Packages
- Using Containers
- Managing consistency
8. Debugging and Troubleshooting SSIS Packages
- Debugging an SSIS Package
- Logging SSIS Package Events
- Handling Errors in Data Flow
9. Implementing a Data Extraction Solution
- Introduction to Incremental ETL
- Extracting Modified Data
- Loading Modified Data
- Temporal Tables
10. Enforcing Data Quality
- Introduction to Data Quality
- Using Data Quality Services to Cleanse Data
- Using Data Quality Services to Match Data
11. Using Master Data Services
- Introduction to Master Data Services Concepts
- Implementing a Master Data Services Model
- Hierarchies and Collections
- Creating a Master Data Hub
12. Extending SQL Server Integration Services (SSIS)
- Using Custom Components in SSIS
- Using Scripting in SSIS
13. Deploying and Configuring SSIS Packages
- Overview of SSIS Deployment
- Deploying SSIS Projects
- Planning SSIS Package Execution
14. Consuming Data in a Data Warehouse
- Introduction to Business Intelligence
- An Introduction to Data Analysis
- Introduction to Reporting
- Analyzing Data with Azure SQL Data Warehouse
Whether you are looking for general information or have a specific question, we want to help.
I got a lot out of the real world scenarios presented in class. Brian