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888-843-8733

Microsoft SQL Server Training Course

Course 2107

  • Duration: 4 days
  • Labs: Yes
  • Language: English
  • 23 NASBA CPE Credits (live, in-class training only)
  • Level: Foundation

In this intro to Microsoft SQL Server® training, you gain the introductory skills to maximize SQL Server's benefits. Learn how to use the various administrative and development tools within SQL Server, including the Microsoft BI (Business Intelligence) stack of Integration Services, Analysis Services, and Reporting Services. 

SQL Server offers a platform for enterprise data management, robust development, and implementation of modern Business Intelligence solutions. Attend this hands-on course and learn to leverage these features.

Microsoft SQL Server Introduction Delivery Methods

  • In-Person

  • Online

Microsoft SQL Server® Introduction Course Information

In this Microsoft SQL Server training, you will learn how to:

  • Create and administer SQL Server databases.
  • Write Transact-SQL queries to retrieve and manipulate data.
  • Secure, back up, and monitor databases with Management Studio.
  • Integrate SQL Server with Microsoft Office.
  • Transform data into strategic information using Business Intelligence components.

Microsoft SQL Server Training Prerequisites

This is SQL Server training for beginners, so no prior experience is needed to take this course. You will learn the basics of SQL Server and gain the introductory skills needed to maximize SQL Server’s benefits.

Microsoft SQL Server Introduction Course Outline

Overview of the SQL Server suite of products

  • Fundamentals of the relational database engine
  • Benefits of the Business Intelligence stack

SQL Server components and tools

  • SQL Server Agent and Management Studio
  • Integration Services
  • Analysis Services
  • Reporting Services
  • Data Quality Services
  • Master Data Services

Constructing a relational database

  • Choosing optimal file size and growth parameters
  • Working with database schemas

Defining tables

  • Specifying appropriate data types
  • Indexing tables with Management Studio
  • Adding, modifying, or removing columns

Safeguarding data with constraints

  • Enforcing uniqueness through primary key constraints
  • Validating conditions with check constraints
  • Protecting relationships with foreign keys

Retrieving data with Transact-SQL 

  • Employing Query Designer to construct select statements 
  • Retrieving subsets of data from multiple tables using joins and the WHERE clause criteria 
  • Analyzing data for aggregate functions 

Modifying data with SQL commands 

  • Inserting new rows into tables 
  • Updating targeted data 
  • Deleting specific rows 

Introduction to developing programming constructs 

  • Creating stored procedures for productivity 
  • Writing user-defined functions to simplify queries 
  • Deploying triggers to capture change events 

Executing the Maintenance Plan Wizard

  • Defragmenting data and checking database integrity
  • Improving performance by rebuilding indexes

Automating administrative tasks

  • Scheduling repeating jobs
  • Implementing a backup strategy

Monitoring SQL Server resources

  • Displaying current activity and expensive queries
  • Running reports with Management Studio

Securing the database infrastructure

  • Authenticating SQL Server and Windows logins
  • Assigning users to database and server roles
  • Granting or revoking permissions

Connecting to Microsoft Office

  • Pulling data from SQL Server into Excel
  • Creating a front-end interface with Access

Transferring business information

  • Importing and exporting data from text files
  • Migrating an Access database to SQL Server

Extracting data with Integration Services

  • Transforming and cleaning data
  • Loading data into a data warehouse

Information delivery with Reporting Services

  • Design reports quickly with the Report Builder
  • Deploying reports for centralized access

Aggregating data with Analysis Services

  • Building multidimensional cubes
  • Predicting trends with data mining

Developing a Business Intelligence strategy

  • Leveraging Excel and Power Pivot
  • Transferring data into knowledge with BI functionality
Get This Course $2,990 $2,659 For Team Prices Call: 888-843-8733

  • 4-day instructor-led training course

  • After-course computing sandbox

  • One-on-one after-course instructor coaching

#2107
  • May 7 - 10 9:00 AM - 4:30 PM EDT
    Virtual
  • Jul 16 - 19 9:00 AM - 4:30 PM EDT
    New York or Virtual
  • Aug 13 - 16 9:00 AM - 4:30 PM EDT
    Herndon, VA or Virtual
  • Oct 1 - 4 9:00 AM - 4:30 PM EDT
    New York or Virtual
  • Nov 12 - 15 9:00 AM - 4:30 PM EST
    Herndon, VA or Virtual
  • Jan 7 - 10 9:00 AM - 4:30 PM EST
    New York or Virtual
  • Feb 4 - 7 9:00 AM - 4:30 PM EST
    Herndon, VA or Virtual

  • 4-day instructor-led training course

  • After-course computing sandbox

  • One-on-one after-course instructor coaching

#2107
  • May 7 - 10 9:00 AM - 4:30 PM EDT
    Virtual
  • Jul 16 - 19 9:00 AM - 4:30 PM EDT
    New York or Virtual
  • Aug 13 - 16 9:00 AM - 4:30 PM EDT
    Herndon, VA or Virtual
  • Oct 1 - 4 9:00 AM - 4:30 PM EDT
    New York or Virtual
  • Nov 12 - 15 9:00 AM - 4:30 PM EST
    Herndon, VA or Virtual
  • Jan 7 - 10 9:00 AM - 4:30 PM EST
    New York or Virtual
  • Feb 4 - 7 9:00 AM - 4:30 PM EST
    Herndon, VA or Virtual

  • Bring this or any training to your organization

  • Full-scale program development

  • Delivered when, where, and how you want it

  • Blended learning models

  • Tailored content

  • Expert team coaching

#2107
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Microsoft SQL Server Introduction Training FAQs

This class runs on Microsoft SQL Server 2017 on Windows Server 2012 R2. However, the class is valuable to users on previous versions of SQL Server and SQL Server 2019. 

This course applies to those using earlier versions of SQL Server.

Yes! We know your busy work schedule may prevent you from getting to one of our classrooms which is why we offer convenient online training to meet your needs wherever you want, including online training.

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