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Microsoft SQL Server 2019 Querying SQL Server

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67 Videos
10.5 Hours
75 Test Questions

Course Description

Microsoft SQL Server 2019: Querying SQL Server

The Microsoft SQL Server 2019 query SQL Server course is designed for individuals who want to develop their skills in querying and analyzing data using SQL Server 2019. This course covers the fundamentals of Transact-SQL (T-SQL), SQL Server’s query language, and provides practical instruction on writing efficient queries, extracting valuable insights, and manipulating data. It is ideal for data analysts, developers, and anyone looking to enhance their proficiency in SQL Server querying.

Key Features:

  • Introduction to T-SQL: Get an overview of Transact-SQL (T-SQL), SQL Server’s query language, including its syntax, structure, and how it extends standard SQL for advanced querying.
  • Basic Querying: Learn how to write basic queries using SELECT statements to retrieve and filter data from single and multiple tables, and use WHERE clauses to specify criteria.
  • Advanced Query Techniques: Explore advanced querying techniques, including complex joins (INNER JOIN, LEFT JOIN, RIGHT JOIN), subqueries, and set operations (UNION, INTERSECT, EXCEPT), to handle sophisticated data retrieval tasks.
  • Data Aggregation and Grouping: Master the use of aggregate functions (SUM, COUNT, AVG, MIN, MAX) and GROUP BY clauses to summarize and analyze data, and use HAVING to filter aggregated results.
  • Sorting and Pagination: Learn how to sort query results using ORDER BY clauses and implement pagination to manage large result sets.
  • Data Manipulation: Understand how to perform data manipulation operations using INSERT, UPDATE, and DELETE statements to modify data within SQL Server databases.
  • Common Table Expressions (CTEs): Discover how to use CTEs to simplify complex queries and improve readability, and how to use recursive CTEs for hierarchical data.
  • Window Functions: Explore window functions such as ROW_NUMBER, RANK, DENSE_RANK, and analytical functions to perform advanced calculations and analysis over partitions of data.
  • Stored Procedures and Functions: Learn how to create and use stored procedures and user-defined functions to encapsulate business logic and streamline query execution.
  • Query Performance Optimization: Gain insights into query performance tuning, including indexing strategies, query execution plans, and techniques for optimizing slow-running queries.
  • Error Handling and Transactions: Understand error handling in T-SQL and manage transactions to ensure data integrity and consistency.

This course provides a comprehensive guide to querying SQL Server 2019, equipping participants with the skills needed to write efficient and effective SQL queries for data analysis, reporting, and application development.


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Step-by-Step Courses List

Chapter One:

Module 1 – Query Tools

1. Course Introduction
2. Module 1 Introduction
3. Intro to Management Studio
4. Intro to command-line query tools

Chapter Two:

Module 2 – Introduction to T-SQL Querying

  1. Module 2 Introduction
  2. Introducing T-SQL
  3. Understanding Sets
  4. Understanding the Logical Order of Operations in SELECT statements
Chapter Three:

Bangalore – 560045 Module 3 – Basic SELECT Queries

  1. Module 3 Introduction
  2. Writing Simple SELECT Statements
  3. Eliminate Duplicates with DISTINCT
  4. Using Column and Table Aliases
  5. Write Simple CASE Expressions
Chapter Four:

Module 4 – Querying Multiple Tables

  1. Module 4 Introduction
  2. Understanding Joins
  3. Querying with Inner Joins
  4. Querying with Outer Joins
  5. Querying with Cross Joins and Self Joins
Chapter Five:

Module 5 – Sorting and Filtering Data

1.Module 5 Introduction

2.Sorting Data

3.Filtering Data with Predicates

4.Filtering with the TOP and OFFSET-FETCH

5.Working with Unknown Values

Chapter Six:

Module 6 – Working with SQL Server Data Types

  1. Module 6 Introduction
  2. Writing Queries that return Date and Time Data
  3. Writing Queries that use Date and Time Functions
  4. Writing Queries that return Character Data
  5. Writing Queries that use Character Functions
Chapter Seven:

Module 7 – Using DML to Modify Data

1. Module 7 Introduction
2. Inserting Records with DML
3. Updating Records Using DML
4. Deleting Records Using DML

Chapter Eight:

Module 8 – Using Built-In Functions

  1. Module 8 Introduction
  2. Writing Queries with Built-In Functions
  3. Using Conversion Functions
  4. Using Logical Functions
  5. Using Functions to Work with NULL
Chapter Nine:

Module 9 – Grouping and Aggregating Data

1. Module 9 Introduction
2. Using Aggregate Functions
3. Using the GROUP BY Clause
4. Filtering Groups with HAVING

Chapter Ten:

Module 10 – Using Subqueries

  1. Module 10 Introduction
  2. Writing Self-Contained Subqueries
  3. Writing Correlated Subqueries
  4. Using the EXISTS Predicate with Subqueries
Chapter Eleven:

Module 11 – Using Table Expressions

  1. Module 11 Introduction
  2. Using Views
  3. Using Inline Table-Valued Functions
  4. Using Derived Tables
  5. Using Common Table Expressions
Chapter Twelve:

Module 12 – Using Set Operators

  1. Module 12 Introduction
  2. Writing Queries with the UNION operator
  3. Using EXCEPT and INTERSECT
  4. Using APPLY
Chapter Thirteen:

Module 13 – Using Window Ranking, Offset, and Aggregate Functions

1. Module 13 Introduction
2.Creating Windows with OVER
3.Exploring Window Functions

Chapter Fourteen:

Module 14 – Pivoting and Grouping Sets

1.Module 14 Introduction
2.Writing Queries with PIVOT and UNPIVOT
3.Working with Grouping Setsnguages Known : English, Telugu

Chapter Fifteen:

Module 15 – Implementing Error Handling

  1. Module Introduction
  2. Implementing T-SQL error handling
  3. Implementing structured exception handling
Chapter Sixteen:

Module 16 – Managing Transactions

1. Module 16 Introduction
2. Transactions and the Database Engine
3. Controlling Transactions
4. Course Wrap Up

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Frequently Asked Questions

Instructional methods, course requirements, and learning technologies can vary significantly from one online program to the next, but the vast bulk of them use a learning management system (LMS) to deliver lectures and materials, monitor student progress, assess comprehension, and accept student work. LMS providers design these platforms to accommodate a multitude of instructor needs and preferences.

Online education may seem relatively new, but years of research suggests it can be just as effective as traditional coursework, and often more so. According to a U.S. Department of Education analysis of more than 1,000 learning studies, online students tend to outperform classroom-based students across most disciplines and demographics. Another major review published the same year found that online students had the advantage 70 percent of the time, a gap authors projected would only widen as programs and technologies evolve.

All new learning innovations are met with some degree of scrutiny, but skepticism subsides as methods become more mainstream. Such is the case for online learning. Studies indicate employers who are familiar with online degrees tend to view them more favorably, and more employers are acquainted with them than ever before. The majority of colleges now offer online degrees, including most public, not-for-profit, and Ivy League universities. Online learning is also increasingly prevalent in the workplace as more companies invest in web-based employee training and development programs.

The concern that online students cheat more than traditional students is perhaps misplaced. When researchers at Marshall University conducted a study to measure the prevalence of cheating in online and classroom-based courses, they concluded, “Somewhat surprisingly, the results showed higher rates of academic dishonesty in live courses.” The authors suggest the social familiarity of students in a classroom setting may lessen their sense of moral obligation.

Choosing the right course takes time and careful research no matter how one intends to study. Learning styles, goals, and programs always vary, but students considering online courses must consider technical skills, ability to self-motivate, and other factors specific to the medium. Online course demos and trials can also be helpful.
Our platform is typically designed to be as user-friendly as possible: intuitive controls, clear instructions, and tutorials guide students through new tasks. However, students still need basic computer skills to access and navigate these programs. These skills include: using a keyboard and a mouse; running computer programs; using the Internet; sending and receiving email; using word processing programs; and using forums and other collaborative tools. Most online programs publish such requirements on their websites. If not, an admissions adviser can help.

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Description

Microsoft SQL Server 2019: Querying SQL Server

The Microsoft SQL Server 2019 query SQL Server course is designed for individuals who want to develop their skills in querying and analyzing data using SQL Server 2019. This course covers the fundamentals of Transact-SQL (T-SQL), SQL Server’s query language, and provides practical instruction on writing efficient queries, extracting valuable insights, and manipulating data. It is ideal for data analysts, developers, and anyone looking to enhance their proficiency in SQL Server querying.

Key Features:

  • Introduction to T-SQL: Get an overview of Transact-SQL (T-SQL), SQL Server’s query language, including its syntax, structure, and how it extends standard SQL for advanced querying.
  • Basic Querying: Learn how to write basic queries using SELECT statements to retrieve and filter data from single and multiple tables, and use WHERE clauses to specify criteria.
  • Advanced Query Techniques: Explore advanced querying techniques, including complex joins (INNER JOIN, LEFT JOIN, RIGHT JOIN), subqueries, and set operations (UNION, INTERSECT, EXCEPT), to handle sophisticated data retrieval tasks.
  • Data Aggregation and Grouping: Master the use of aggregate functions (SUM, COUNT, AVG, MIN, MAX) and GROUP BY clauses to summarize and analyze data, and use HAVING to filter aggregated results.
  • Sorting and Pagination: Learn how to sort query results using ORDER BY clauses and implement pagination to manage large result sets.
  • Data Manipulation: Understand how to perform data manipulation operations using INSERT, UPDATE, and DELETE statements to modify data within SQL Server databases.
  • Common Table Expressions (CTEs): Discover how to use CTEs to simplify complex queries and improve readability, and how to use recursive CTEs for hierarchical data.
  • Window Functions: Explore window functions such as ROW_NUMBER, RANK, DENSE_RANK, and analytical functions to perform advanced calculations and analysis over partitions of data.
  • Stored Procedures and Functions: Learn how to create and use stored procedures and user-defined functions to encapsulate business logic and streamline query execution.
  • Query Performance Optimization: Gain insights into query performance tuning, including indexing strategies, query execution plans, and techniques for optimizing slow-running queries.
  • Error Handling and Transactions: Understand error handling in T-SQL and manage transactions to ensure data integrity and consistency.

This course provides a comprehensive guide to querying SQL Server 2019, equipping participants with the skills needed to write efficient and effective SQL queries for data analysis, reporting, and application development.


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