Module 1: Introduction to SQL Server 2017
Module Goal: Describe key capabilities and components of SQL Server 2017
- Overview of SQL Server
Module 2: What’s new in SQL Server Performance, Scalability, and Availability.
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
mode memory grant feedback
mode adaptive joins
Module 3: What’s New in SQL Server data Access
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
- Create a
- Query a
Module 4: What’s new in SQL Server Reporting and BI
This module describes what’s new in SQL Server reporting and BI.
- Power BI
Lab : Reporting and BI
Power BI report server
commenting to a report
Module 5: New and Enhanced Features in SQL Server Analysis Services
This module introduces new and enhanced features in SQL Server Analysis
Services, with particular emphasis on the tabular data model.
Lab : Ragged hierarchies
Module 6: New and Enhanced data Analytics Features
This module introduces new and enhanced data analytics features.
- New and
enhanced data analytics features
Lab : Data analytics with Python
external script execution
completing this module, students will be able to:
the new and enhanced data analytics features.
Module 7: What’s new in SQL Server in the Cloud
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.
- Azure SQL
Lab : Managed instances
Module 8: SQL Server on Linux
This module covers the features of SQL Server on Linux, as well as the process
for deploying SQL Server on Linux and using Docker.
Server on Linux
SQL Server on Linux
Lab : SQL Server in Docker containers
- Deploy a
SQL Server Docker image
- Run a SQL
Server instance inside a Docker container
to a SQL Server Instance running in a Docker container