T-SQL Functions Playbook

By Andrew McSwiggan
In this course you will explore the functions of the T-SQL language that support data access, manipulation, aggregation, and analysis. Completing this course will provide you with the skills to shape and analyze data in SQL Server.
Play course overview
Course info
Rating
(26)
Level
Intermediate
Updated
Jan 23, 2020
Duration
3h 3m
Table of contents
Course Overview
Course Overview 2m
Creating Measures with Aggregation Functions
A Tour of the Data 3m Creating Measures with Aggregation Functions 4m Creating an Aggregation Query 4m Querying Aggregations in Lists 7m Querying Unique Lists of Values 4m
Ranking Data with RANK and PARTITION
Ranking Data with Rank and Partition 7m The Dense Rank Function 7m The NTILE Function 4m The Rank Function 5m
Aggregating and Summarizing Data with Functions
Aggregating and Summarizing Data with Functions 5m First and Last Value 6m The Percent Rank Function 4m
Substituting a Table Reference with a ROWSET Function
OPENROWSET Queries 5m Substituting a Table Reference with a ROWSET Function 6m
Query Data with Inline Queries and Scalar Functions
Creating Statements with Simple Scalar Functions 5m Formatting Functions 4m Inline View Queries and Subqueries 7m LIKE Function Demo 5m Query Data with Inline Queries and Scalar Functions 4m Searching for Strings with the LIKE Function 3m The Subquery 3m
Query Data with Static Value Functions
Monthly Rolling Sales with GETDATE 5m Query Data with Static Value Functions 5m
Implementing IF Then Logic
Implementing IF Then Logic 3m Intelligent Measures 3m Product Gender 7m Product Groups 6m
Combining Queries with COALESCE
Adding the COALESCE Function to a Query 3m Combining Queries with COALESCE 6m Joining Multiple Queries with COALESCE 2m
Calculating Values Using String Functions
Analysing Sales Using Product Attributes 5m Calculating Values Using String Functions 5m Cutting out the Product Attributes 5m Formatting Strings with Stuff and Replace 5m Pivoting the Attributes 3m
Calculating Values Using Numeric Scalar Functions
Calculating Values Using Numeric Scalar Functions 5m Creating A B Customer Tags with Modulus 6m Creating Alternating Customer A B Tags 2m The Round Function 4m
Description
Course info
Rating
(26)
Level
Intermediate
Updated
Jan 23, 2020
Duration
3h 3m
Description

As a data professional you often need to write queries to summarize and gain insight from data. In this course, T-SQL Functions Playbook, you will learn how to use powerful functions inside your T-SQL queries to reshape and interrogate data. First, you will learn how to aggregate data with aggregation functions. Next, you will see how to merge data from multiple queries from within and outside of your local SQL Server environment. Finally, you will discover how to apply logic calculations and formatting to transform data and make it more readable. When you have completed this course, you will have the skills to take control of and analyze your data. Software required: SQL Server Management Studio.

About the author
Andrew McSwiggan
About the author

Passionate about Business Intelligence and delivering knowledge and insight to support better decisions. An advocate of Self-Service Reporting, Analytics Data Visualisation. Andi has delivered face to face Business Intelligence training covering topics such as Report Design, Dimensional modeling, and Data Visualisation. Andi is a keen cyclist and amateur cook and lives with his wife in Southern Spain.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
Hi, everyone. My name is Andrew Max. Wiggle on. Welcome to my course. T s u L functions Playbook. I'm a data specialist and I use the t SQL language to structure and analyze data. T s u l offers an array of powerful functions that enabled the initiated to extract meaning from data stored inside SQL server databases. I introduce you to aggregation on ranking functions that will enable you to elevate the data to something concise and insightful. Every function you learn will provide you with the solution a common analytical problem. Everything you learn along the way and empower you to take control of your data. Some of the key topics that I explore with t SQL are creating measures with aggregation functions, implementing logical expressions that evaluate transform columns for every road returned by a query bedding one query inside another within line views and correlative sub queries putting out parts of dates and text fields rounding on former numbers as forming content toe meaning By the end of the course, you will know how to use the analytical functions provided by the tea SQL language. Before beginning the course, you should have a working knowledge of the tea SQL language, the rudimentary, the standing of Data Analytics. I hope that you will join me on this journey to learn how to use analytical functions with T SQL Functions Playbook Course Pluralsight.

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