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

Course Modality

Instructor-led training

Course Level

Intermediate

Course Time

2 Days

Course Language

English

Course Overview

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

Prerequisites

In addition to their professional experience, students who attend this training should already have the following technical knowledge:
      • Experience of building and managing database, data warehouse, and business intelligence (BI) solutions with SQL Server 2016.
      • Familiarity with the Windows Server 2016 operating system and networking
      • Familiarity with Microsoft Office 2016.

Intended Audience

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.

Job role: Data Engineer

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After completing this course, students will be able to:

  • Describe key capabilities and components of SQL Server 2017Ā 
  • Describe new and enhanced features in SQL Server Performance, Availability, and Scalability
  • DescribeĀ newĀ andĀ enhancedĀ featuresĀ inĀ SQLĀ ServerĀ dataĀ accessĀ 
  • DescribeĀ newĀ andĀ enhancedĀ featuresĀ inĀ SQLĀ ServerĀ reportingĀ andĀ BI
  • DescribeĀ newĀ andĀ enhancedĀ featuresĀ inĀ SQLĀ ServerĀ OLAPĀ 
  • DescribeĀ newĀ andĀ enhancedĀ dataĀ analyticsĀ featuresĀ 
  • DescribeĀ newĀ andĀ enhancedĀ featuresĀ inĀ SQLĀ ServerĀ CloudĀ deploymentsĀ 
  • DescribeĀ SQLĀ ServerĀ onĀ LinuxĀ functionalityĀ 

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Course Curriculum

IntroductionĀ toĀ SQLĀ ServerĀ 2017Ā 

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

Lessons

  • OverviewĀ ofĀ SQLĀ ServerĀ 2017Ā 
  • FunctionalityĀ acrossĀ versionsĀ 

Ā 

AfterĀ completingĀ thisĀ module,Ā studentsĀ willĀ beĀ ableĀ to:Ā 

  • DescribeĀ theĀ editionĀ scaleĀ limitsĀ 
  • ExplainĀ theĀ consistentĀ functionalityĀ acrossĀ versionsĀ 

What’sĀ newĀ inĀ SQLĀ ServerĀ Performance,Ā Scalability,Ā andĀ 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
Ā 

Lessons

  • AdaptiveĀ queryĀ processingĀ 
  • AutomaticĀ tuningĀ 
  • AvailabilityĀ ScalabilityĀ 

Ā 

Lab: PerformanceĀ andĀ availability – adaptiveĀ queryĀ processingĀ 

  • InterleavedĀ executionĀ 
  • BatchĀ modeĀ memoryĀ grantĀ feedback
  • BatchĀ modeĀ adaptiveĀ joinsĀ 

Ā 

After completing this module, students will be able to:

  • DescribeĀ adaptiveĀ queryĀ processingĀ 
  • DescribeĀ automaticĀ planĀ correction
  • DescribeĀ availabilityĀ groupĀ architecturesĀ 
  • DescribeĀ alwaysĀ onĀ availabilityĀ groupsĀ forĀ LinuxĀ 
  • DescribeĀ loadĀ balancingĀ ofĀ readableĀ secondaryĀ replicasĀ 
  • DescribeĀ petabyte-scaleĀ dataĀ warehousingĀ 

What’sĀ NewĀ inĀ SQLĀ ServerĀ dataĀ AccessĀ 

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.
Ā 

Lessons

  • SQLĀ GraphĀ 

Ā 

Lab: SQLĀ GraphĀ 

  • CreateĀ aĀ GraphĀ database
  • QueryĀ aĀ GraphĀ databaseĀ 

After completing this module, students will be able to:Ā 

  • DescribeĀ SQLĀ GraphĀ 

What’sĀ newĀ inĀ SQLĀ ServerĀ ReportingĀ andĀ BIĀ 

ThisĀ moduleĀ describesĀ what’sĀ newĀ inĀ SQLĀ ServerĀ reportingĀ andĀ BI.Ā 

Lessons

  • PowerĀ BIĀ reportĀ ServerĀ 
  • ReportingĀ ServicesĀ updateĀ 

Ā 

Lab: ReportingĀ andĀ BIĀ 

  • DeployĀ PowerĀ BIĀ reportĀ serverĀ 
  • AddĀ commentingĀ toĀ aĀ reportĀ 

Ā 

After completing this module, students will be able to:Ā 

  • ExplainĀ whatĀ PowerĀ BIĀ reportĀ serverĀ isĀ 
  • UseĀ PowerĀ BIĀ reportĀ serverĀ 
  • CreateĀ aĀ PowerĀ BIĀ reportĀ foeĀ PowerĀ BIĀ reportĀ serverĀ 

Ā NewĀ andĀ EnhancedĀ FeaturesĀ inĀ SQLĀ ServerĀ AnalysisĀ ServicesĀ 

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

Lessons

  • TabularĀ modelĀ updatesĀ 

Ā 

Lab:RaggedĀ hierarchiesĀ 

  • ViewĀ existingĀ reportsĀ 
  • HideĀ blankĀ members

Ā 

After completing this module, students will be able to:Ā 

  • DescribeĀ theĀ newĀ featuresĀ ofĀ tabularĀ dataĀ modelsĀ 

NewĀ andĀ EnhancedĀ dataĀ AnalyticsĀ FeaturesĀ 

ThisĀ moduleĀ introducesĀ newĀ andĀ enhancedĀ dataĀ analyticsĀ features.Ā 

Lessons

  • NewĀ andĀ enhancedĀ dataĀ analyticsĀ featuresĀ 

Ā 

Lab:DataĀ analyticsĀ withĀ PythonĀ 

  • EnableĀ externalĀ scriptĀ executionĀ 
  • RunĀ PythonĀ scriptsĀ 

Ā 

After completing this module, students will be able to:Ā 

  • DescribeĀ theĀ newĀ andĀ enhancedĀ dataĀ analyticsĀ features.Ā 

What’sĀ newĀ inĀ SQLĀ ServerĀ inĀ theĀ CloudĀ 

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.

Ā 

Lessons

  • AzureĀ SQLĀ databaseĀ featuresĀ 
  • ManagedĀ InstancesĀ 

Ā 

Lab: ManagedĀ instancesĀ 

After completing this module, students will be able to:Ā 

  • ExplainĀ theĀ differentĀ featuresĀ availableĀ inĀ AzureĀ SQLĀ databaseĀ andĀ 
    SQL Server 2017Ā DescribeĀ AzureĀ managedĀ instancesĀ 

SQLĀ ServerĀ onĀ LinuxĀ 

ThisĀ moduleĀ coversĀ theĀ featuresĀ ofĀ SQLĀ ServerĀ onĀ Linux,Ā asĀ wellĀ asĀ theĀ 
processĀ forĀ deploying SQLĀ ServerĀ onĀ LinuxĀ andĀ usingĀ Docker.Ā 
Ā 

Lessons

  • SQLĀ ServerĀ onĀ LinuxĀ 
  • DeployingĀ SQLĀ ServerĀ onĀ LinuxĀ 

Ā 

Lab: SQLĀ ServerĀ inĀ DockerĀ containersĀ 

  • DeployĀ aĀ SQLĀ ServerĀ DockerĀ imageĀ 
  • RunĀ aĀ SQLĀ ServerĀ instanceĀ insideĀ aĀ DockerĀ containerĀ 
  • ConnectĀ toĀ aĀ SQLĀ ServerĀ InstanceĀ runningĀ inĀ aĀ DockerĀ containerĀ 

Ā 

After completing this module, students will be able to:Ā 

  • DescribeĀ theĀ featuresĀ ofĀ SQLĀ ServerĀ onĀ LinuxĀ 
  • DescribeĀ SQLĀ ServerĀ onĀ LinuxĀ deploymentĀ 
  • DeployĀ SQLĀ serverĀ inĀ aĀ DockerĀ container.Ā 

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