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

Features: none

Why The DataTech Labs ?

Self-Paced Online Video

A 360-degree learning approach that you can adapt to your learning style

A 360-degree learning

Engage and learn more with these live and highly-interactive classes alongside your peers

24/7 Teaching Assistance

24/7 Teaching Assistance Keep engaged with integrated teaching

Online Practice Labs

Projects provide you with sample work to show prospective employers.

Applied Projects

Real-world projects relevant to what you’re learning throughout the program

Learner Social Forums

A support team focused on helping you succeed alongside a peer community

Skill Covered

After completing this course, students will be able to:

Describe key capabilities and components of SQL Server 2017
Describe new and enhanced features in SQL Server Performance, Availability, and Scalability
Describe new and enhanced features in SQL Server data access

Describe new and enhanced features in SQL Server reporting and BI
Describe new and enhanced features in SQL Server OLAP
Describe new and enhanced data analytics features
Describe new and enhanced features in SQL Server Cloud deployments
Describe SQL Server on Linux functionality

Get In Touch

Course Curriculum

Module 1

Introduction to SQL Server 2017

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

Lessons

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

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

Lessons

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

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.

Lessons

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

Module 4

What’s new in SQL Server Reporting and BI

This module describes what’s new in SQL Server reporting and BI.

Lessons

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

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.

Lessons

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

Module 6

New and Enhanced data Analytics Features

This module introduces new and enhanced data analytics features.

Lessons

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.

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.

Lessons

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

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.

Lessons

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.

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