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Updating Your Skills to SQL Server 2017

Codice corso: 10998A
Durata corso: 2gg

Introduzione

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

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.

Obiettivi del corso

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

Prerequisiti

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

Struttura del Corso

MODULE 1: Introduction to SQL Server 2017

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

Lessons

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

After completing this module, students will be able to:

Describe adaptive query processing

Automatic tuning

Availability Scalability

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

Interleaved execution

Batch mode memory grant feedback

Batch mode adaptive joins

Lab : Performance and availability – adaptive query processing

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

After completing this module, students will be able to:

Describe SQL Graph

Create a Graph database

Query a Graph database

Lab : 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

After completing this module, students will be able to:

Explain what Power BI report server is

Use Power BI report server

Reporting Services update

Create and Deploy a Power BI report foe Power BI report server

Add commenting to a report

Lab : Reporting and BI

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

After completing this module, students will be able to:

Describe the new features of Tabular data models

View existing reports

Hide blank members

Lab : Ragged hierarchies

MODULE 6: New and Enhanced data Analytics Features

This module introduces new and enhanced data analytics features.

Lessons

After completing this module, students will be able to:

Describe the new and enhanced data analytics features

Enable external script execution

Run Python scripts

Lab : Data analytics with Python

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

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

Managed Instances

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.

Lessons

After completing this module, students will be able to:

Describe the features of SQL Server on Linux

Deploy SQL Server on Linux

Deploy SQL server in a Docker container

Run a SQL Server instance inside a Docker container

Connect to a SQL Server Instance running in a Docker container

Lab : SQL Server in Docker containers

P.IVA 06249920965
C.C.I.A.A. REA: MI - 1880014
Cap. Soc. € 12.000,00

Contatti

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