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MCSA- SQL Server 2016 Business Intelligence Development Training

Microsoft Certified Solutions Associate (MCSA): SQL 2016 Business Intelligence Development certification Training validates an IT professional's expertise in implementing BI solutions using SQL 2016 environment.

What will i learn?
  • Working with measures and measure groups. Performing predictive analysis with data mining
  • Understand the underlying architecture, components, and properties of a BI solution.
  • Implement dimensions, measures and measure groups in a cube. Create a tabular database. Query a tabular model using DAX
  • Customize a cube. Implement MDX syntax. Perform data mining for predictive analysis
  • Use SSAS analysis services for creating a multidimensional database

MCSA SQL Server 2016 BI  training course from BIT aims to equip BI developers with core knowledge and skills to implement business intelligence solutions for SQL Server 2016. Database professionals and Business Intelligence (BI) developers will learn to use SQL Server Analysis Services (SSAS), and utilize it to create tabularly semantic data models for analysis. 

This SQL Server BI training is ideal for database professionals who are responsible for fulfilling the role of a BI Developer for creating enterprise BI solutions. Power users, information workers, and data analysts can also attend this course for a better understanding of SSAS in SQL Server BI. The course covers SQL Server provision both on-premise and in Azure, and covers installing from new and migrating from an existing install. SSIS is an ETL tool that performs various operations like loading the data based on need, executes data related calculations, and defines a workflow for the process and tasks.

  • Exam 70-767: Implementing a Data Warehouse using SQL (SSIS)
  • Exam 70-768: Developing SQL Data Models (SSAS)

For more inquiries, visit our near BIT Training center or e-mail on inquiry@bitbaroda.com or visit one of the BIT Training Centers located in Vadodara (Manjalpur, Sayajigunj, Waghodiya).

  • Knowledge of querying using T-SQL and basic knowledge of normalized relational databases.
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