Why Do You Need To Update Your Skills To SQL Server 2017?

The SEQ Servers, including SQL server 2014, is out of mainstream support from 9th July 2019. This makes it clear that you need to update your skills to SQL server 2017. As both SQL servers are not a part of the mainstream support, and the extended support is also going to finish, it is vital to update your skills to SQL server 2017.

So, if you want to upgrade your SQL server skills, you need to join a two-day instructor LED training program. This program aims for the database professionals who want to upgrade their skills to learn SQL server 2017.

Target Audience

The prime audiences for this SQL Server 2017 course are those already experts of SQL Server 2016. And they want to upgrade their skills to SQL Server 2017.

However, the tributary audiences are the MCSAs of SQL server 2016 and want to prepare themselves for the up-gradation exam for SQL server 2017 certifications.

Fundamentals That You Will Learn In The SQL Server 2017

Apart from your professional experience, the learners who will learn SQL server 2017 will gain the following technical knowledge:

• Expertise in building and managing database, database wirehouse, and business intelligence

• You will also learn the familiarity with the windows server 2016 OS and networking

• Acquaintance about the Microsoft office 2016

The Outcomes That You Will Grasp Post Your Up-Gradation

After upgrading your skills to SQL server 2017, you will learn the following things. So, here are the outcomes that you will learn after the training.

• You can describe any key skills and components of SQL Server 2017

• Knowledge about all the new enhanced features in SQL Server performance, usability, and scalability

• You will be able to describe all the new and advanced features of SQL Server data access.

• You can learn about the new SQL server reporting and business intelligence.

• That’s not the end yet! You will also learn about the new and advanced features in SQL Server OLAP.

• You will know about the new data analytic feature.

• Knowledge about SQL server cloud deployment features

• You can also be able to describe the SQL Server in Linux functionality.

Also Read: How To Get SQL Certification In 2023?

Reasons Why You Need To Learn SQL Server 2017

1. No Extended Updates

Well, out of those several reasons, one of the most important reasons is no extended updates. Yes! You are reading it right. The SQL Server 2012 will fall out of the mainstream server. The last support provided for it was until 11th July 2017. Further, there would be no extended updates as well. So, this makes it clear that you need to learn SQL Server 2017.

2. New Engine Features

It is vital to adapt yourself to new technologies and features. And with SQL server 2017, Microsoft introduces new and enhanced features. It also allows it to run on several Linux distributions. So, that is why you need to learn SQL Server 2017. The improved backup performance and adaptive query processing are a few of the new features that make SQL server 2017 invincible. So, you should upgrade your skills to SQL server 2017.

3. Replication Enhancements

Another reason to upgrade your skills to SQL server 2017 is replication enhancements. This is a specialty that allows you to protect a remote distribution database in the availability group. So, this, as a result, makes it easier to tune and maintain your replication.

4. SQL Server 2017 Is The New Mainstream Server

This is the most primary reason. After the SQL Server 2012 and SQL server 2014, this will be the mainstream server for SQL. If you are a SQL database professional, you need to upgrade yourself to the SQL Server 2017.

Course Outline: What Are The New Things That You Will Learn In Skill Up-Gradation To SQL Server 2017?

Module 1: Introduction

In the first module, you learn about the essential skills and critical components of SQL Server 2017. So, it would be a lesson that will teach you the overview of SQL Server 2017. You will also learn about the functionality of SQL across various versions.

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 next module teaches you about the performance advancements offered by automatic tuning and adaptive query processing. You will also learn about the scalability progressions and functionality progressions with new availability group architectures.

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 Innovative In SQL Server Data Access?

This module will enable you to upgrade your skills about the relationships between data items in a table. This SQL Server 2017 introduces a graph. So, this allows you to lower down the query cost and simplify 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: Enhancement In SQL Server Reporting And BI

Well, this is a module that teaches you about the enhancements 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 for Power BI report server

Also Read: How to connect your Linux Web Application to a SQL database via Private Endpoint

Module: 5: All About New Features Of SQL Server Analysis Services

This is one of the modules that introduce a new feature. And that is in SQL server analysis services. So, you will emphasize 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 Advanced Data Analytics Features

In this module, you will learn about the new and advanced features of data analytics. In the lab, you will run python scripts and enable external script execution.

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: Advancements In SQL Server Cloud

This module helps you gain knowledge about the new features of SQL Server in the cloud. It also draws a comparison between the Microsoft Azure SQL database and the Microsoft SQL server 2017.

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 will upgrade your skills in SQL Server on Linux. You can also learn about deploying the SQL Server on Linux by 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.