Complete SQL server Online Training by certified Expert on SQL Server 2017.
Overview
Microsoft SQL Server can be an intimidating system. In this course, instructor Vandan Soni provides a quick overview of how SQL Server works—which can go a long way to making you feel more comfortable as you start exploring its powerful capabilities. She goes over the most important features of SQL Server 2017, helping to familiarize you with how the server operates. She also introduces the main working environment—SQL Server Management Studio—and walks through how to start creating tables and manipulating data.
Usage of SQL Server
The following are the key usage of MS SQL Server:
Who is this course for?
Our SQL Server Tutorial is designed to help beginners and professionals.
Advantages of SQL Server Instances
SQL Server Components
SQL Server works in client-server architecture, hence it supports two types of components − (a) Workstation and (b) Server.
Course Objectives
Mrs. Vandana Soni is a Microsoft Certified Trainer, Azure Data Engineer Associate, and a Software and Corporate Trainer. With 25 years of IT experience, she is adept Corporate Training, Live Training, and Online Webinars.
She has trained 50,000+ individuals all over the world and delivered 50+ Corporate Training all over India and abroad in the following technologies. She specializes in Data Analytics, SQL Server Training, and giving Certification Guidance to Corporates. As an Azure Data Engineer, she has the confidence in teaching from basics to advanced level topics, covering every aspect in detail.
Know more about Vandana Soni - https://www.bestitcourses.com/Vandanasoni
Follow her on LinkedIn -https://www.linkedin.com/in/vandana-soni-85a29475/
This course can be taken by any beginner who wants to build career in Information Technology. The subscriber needs to have working knowledge of Windows Operating System.
Please note that learning only SQL Server will not open lots of job opportunities unless you follow it up with MS.NET Programming or MSBI tools like SSIS, SSAS and SSRS.