MCSA SQL 2016 Business Intelligence Development
The Academy of South Florida offers the fastest, most effective method to learn the industry-standard, fundamental features of Microsoft SQL Server that have made Microsoft's premiere database solution a worldwide leader in data-driven business and application infrastructure.
With this SQL Server 2016 boot camp, you will gain valuable insight into the new, powerful capabilities that SQL Server 2016 adds to a database developer and administrator's solutions tool box.
MCSA: SQL 2016 Business Intelligence certification covers everything from designing, installing, configuring, and maintaining a Microsoft Database environment, to implementing and troubleshooting database objects. This program covers all material and exams necessary to achieve an MCSA in SQL 2016 Business Intelligence.
This 5-day boot camp is a combination of the following official Microsoft courses:
• 20767A: Implementing a SQL Data Warehouse (Exam 70-767)
• 20768A: Developing SQL Data Models (Exam 70-768)
This course provides students with the technical skills required to build a data warehouse solution. Designing, Implementing and building a data warehouse solution on Azure. Creating colunstore indexes, Implementing and Debugging SSIS packages. Implementing, Customizing and testing Cubes for analysis.
This course helps people prepare for exam 70-767. This course provides students with the knowledge and skills to maintain a Microsoft SQL Server 2016 database. The course focuses on teaching individuals how to use SQL Server 2016 product features and tools related to maintaining a database. Also this course helps you prepare for the Exam 70-768. Database Developing and warehousing is a solution organizations use to centralize business data for reporting and analysis. This instructor-led course focuses on teaching individuals how to create a data warehouse with SQL Server 2016, implement ETL with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.
After completing this course, students will be able to:
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 Services
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
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
Students should have at least two years of experience in the IT field and should already have the following technical knowledge:
• Networking fundamentals, including Transmission Control Protocol /Internet Protocol (TCP/IP), User Datagram Protocol (UDP), and Domain Name System (DNS)
• Microsoft Active Directory Domain Services (AD DS) principles
• Windows Server 2012 R2 fundamentals
Microsoft Windows Client essentials; for example, working knowledge of Windows 7 and/or Windows 8.