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MCSA: SQL 2016 BI Development Certification


Note: MCSA: SQL 2016 BI Development Certification is going to retire on 31-Jan-2021.

Microsoft is moving dynamically towards the Business Intelligence sector and has introduced new tools and applications in this domain. Corresponding to this, the tech giant provides credentials to all those professionals who holds necessary skills in Business Intelligence platform. Microsoft Certified Solutions Associate (MCSA): SQL 2016 Business Intelligence Development certification validates an IT professional's expertise in implementing BI solutions using SQL 2016 environment.

Microtek Learning offers an intensive, hands-on MCSA SQL 2016 Business Intelligence Development training for enthusiastic learners who want to develop their career in the emerging BI field. The training imparts knowledge about extract, transform, and load (ETL) skills, along with data warehouse and analytical processing skills using SQL Server.

Microtek learning helps you to earn MCSA SQL 2016 Business Intelligence certification that will grow aspirants knowledge and skill to implement BI support for multiple devices using the SQL Server environment. The qualified aspirants can look forward to work as BI developers across organizations.

Exams and recommended training

Required Exams Recommended Training
Exam 70-767  20767: Implementing SQL Data Warehouse | Duration: 5 Days | Price: $ 2875
Exam 70-768  20768:Developing SQL Data Models | Duration: 3 Days | Price: $ 1725

Microsoft provides two re-certification options for those who want to demonstrate continues competence in these areas. You can demonstrate that you're staying current in the technology by either taking a re-certification exam or stay-current course within two years of earning your certification. As soon as you pass either the course or the exam, the expiration date on your certification will be extended two years from that date.


Database Professionals, BI Developers Database Analysts, IT professionals who are looking to grow their career in data management and analytics.