This instructor-led two-day course that Microtek Learning offers is targeted at database professionals wanting to upgrade their skill set to cover SQL Server 2017.
This training is designed based on the objectives of the course variant 10998A.
The most suitable people for taking this Microtek Learning course are the database professionals with hands-on experience using SQL Server 2016 who are looking to improve their skills to SQL Server 2017. Professionals SQL Server MCSA seeking preparation for the SQL 2017 certification exam can also take the course.
Module Goal: Describe key capabilities and components of SQL Server 2017
After completing this module, students will be able to:
This module introduces the performance enhancements provided by Adaptive Query Processing and Automatic Tuning, as well as the scalability and availability enhancements provided by new Availability Group architectures, including Read-Scale Availability Groups and Availability Groups with SQL Server on Linux
Lab: Performance and availability – adaptive query processing
After completing this module, students will be able to:
SQL Server 2017 introduces SQL Graph which enables you to define the relationships between your data items in a table rather than calculating them during a query, reducing the query cost and simplifying your data structure.
Lab: SQL Graph
After completing this module, students will be able to:
This module describes what’s new in SQL Server reporting and BI.
Lab: Reporting and BI
After completing this module, students will be able to:
This module introduces new and enhanced features in SQL Server Analysis Services, with particular emphasis on the tabular data model.
Lab: Ragged hierarchies
After completing this module, students will be able to:
This module introduces new and enhanced data analytics features.
Lab: Data analytics with Python
After completing this module, students will be able to:
Organizations want the best value from a mixture of cloud services and their existing investment in on-premises hardware and software. This module covers a comparison between the features of Microsoft Azure SQL Database and Microsoft SQL Server 2017, as well as new features that make it easier for you to migrate databases from on-premises SQL Server instances to Azure SQL Database.
Lab: Managed instances
After completing this module, students will be able to:
This module covers the features of SQL Server on Linux, as well as the process for deploying SQL Server on Linux and using Docker.
Lab: SQL Server in Docker containers
After completing this module, students will be able to:
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