10998: Updating Your Skills to SQL Server 2017 Training

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.

• Describing SQL Server 2017 key components and capabilities.
• Describe new and improved features in SQL Server Availability, Performance and Scalability.
• Describing new and improved features in data access of SQL Server.
• Describing new and improved features in SQL Server BI Reporting.
• Describing new and improved features of OLAP in SQL Server.
• Describing new and improved features of data analytics.
• Describing new and improved Cloud deployment features in SQL Server.
• Describing SQL Server on Linux.

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.

• 1. Introduction to SQL Server 2017

Module Goal: Describe key capabilities and components of SQL Server 2017

• Overview of SQL Server 2017
• Functionality across versions

After completing this module, students will be able to:

• Describe the edition scale limits
• Explain the consistent functionality across versions
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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
Adaptive query processing
Automatic tuning
Availability Scalability
Lab: Performance and availability – adaptive query processing
Interleaved execution
Batch mode memory grant feedback
Batch mode adaptive joins
After completing this module, students will be able to:
Describe adaptive query processing
Describe automatic plan correction
Describe availability group architectures
Describe always on availability groups for Linux
Describe load balancing of readable secondary replicas
Describe petabyte-scale data warehousing
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.
SQL Graph
Lab: SQL Graph
Create a Graph database
Query a Graph database
After completing this module, students will be able to:
Describe SQL Graph
4. What’s new in SQL Server Reporting and BI
This module describes what’s new in SQL Server reporting and BI.
Power BI report Server
Reporting Services update
Lab: Reporting and BI
Deploy Power BI report server
Add commenting to a report
After completing this module, students will be able to:
Explain what Power BI report server is
Use Power BI report server
Create a Power BI report foe Power BI report server
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.
Tabular model updates
Lab: Ragged hierarchies
View existing reports
Hide blank members
After completing this module, students will be able to:
Describe the new features of tabular data models
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
Enable external script execution
Run Python scripts
After completing this module, students will be able to:
Describe the new and enhanced data analytics features.
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 database features
Managed Instances
Lab: Managed instances
After completing this module, students will be able to:
Explain the different features available in Azure SQL database and SQL Server 2017
Describe Azure managed instances
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.
SQL Server on Linux
Deploying 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
Connect to a SQL Server Instance running in a Docker container
After completing this module, students will be able to:
Describe the features of SQL Server on Linux
Describe SQL Server on Linux deployment
Deploy SQL server in a Docker container.