Course 10998-A: Updating Your Skills to SQL Server 2017

Microsoft

Course 10998-A: Updating Your Skills to SQL Server 2017

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This two-day instructor-led course is aimed at database professionals looking to update their skills to cover SQL Server 2017.

Audience Profile

The primary audience for this course is existing database professionals with experience of SQL Server 2016 who want to update their skills to SQL Server 2017. The secondary audience is existing SQL Server 2016 MCSAs who want to prepare for the Upgrade exam for SQL Server 2017 certification.

Prerequisites

Course outline

Module 1: Introduction to SQL Server 2017

Module Overview

This module gives a high-level overview of the features of SQL Server 2017, in addition to summarizing the details of features available by edition.

Lessons

Overview of SQL Server 2017
Functionality across versions

Lab Sessions

Not available for this module

Lab Lessons

Lab lessons not available

After completing this module, students will be able to:

Describe the edition scale limits.
Explain the consistent functionality across versions.

Module 2: Whats new in SQL Server Performance, Scalability, and Availability.

Module Overview

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.

Lessons

Adaptive query processing
Automatic tuning
Availability Scalability

Lab Sessions

Performance and availability adaptive query processing

Lab Lessons

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.

Module 3: Whats New in SQL Server data Access

Module Overview

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.

Lessons

SQL Graph

Lab Sessions

SQL Graph

Lab Lessons

Create a Graph database
Query a Graph database

After completing this module, students will be able to:

Describe SQL Graph.

Module 4: Whats new in SQL Server Reporting and BI

Module Overview

This module describes whats new in SQL Server reporting and BI.

Lessons

Power BI report Server
Reporting Services update

Lab Sessions

Reporting and BI

Lab Lessons

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.

Module 5: New and Enhanced Features in SQL Server Analysis Services

Module Overview

This module introduces new and enhanced features in SQL Server Analysis Services, with particular emphasis on the tabular data model.

Lessons

Tabular model updates

Lab Sessions

Ragged hierarchies

Lab Lessons

View existing reports
Hide blank members

After completing this module, students will be able to:

Describe the new features of tabular data models.

Module 6: New and Enhanced data Analytics Features

Module Overview

This module introduces new and enhanced data analytics features.

Lessons

New and enhanced data analytics features

Lab Sessions

Data analytics with Python

Lab Lessons

Enable external script execution
Run Python scripts

After completing this module, students will be able to:

Describe the new and enhanced data analytics features.

Module 7: Whats new in SQL Server in the Cloud

Module Overview

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.

Lessons

Azure SQL database features
Managed Instances

Lab Sessions

Not available for this module

Lab Lessons

Lab lessons not available

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.

Module 8: SQL Server on Linux

Module Overview

This module covers the features of SQL Server on Linux, as well as the process for deploying SQL Server on Linux and using Docker.

Lessons

SQL Server on Linux
Deploying SQL Server on Linux

Lab Sessions

SQL Server in Docker containers

Lab Lessons

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.

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