Learn how to do effective exploratory data analysis on temporal data, create scalar and table variables to store data, and learn how to execute date manipulation. This chapter will also cover the following SQL functions: DATEDIFF( ), DATENAME( ), DATEPART( ), CAST( ), CONVERT( ), GETDATE( ), and DATEADD( ).

Introduction to the course

Transactions per day

Seconds or no seconds?

Which day of week is busiest?

Find the outliers

Variables for datetime data

DECLARE & CAST

DECLARE a TABLE

INSERT INTO @TABLE

Date manipulation

Parameters matter with DATEDIFF

First day of month

Temporal EDA, Variables & Date Manipulation

This chapter will explain how to create, update, and execute user-defined functions (UDFs). You will learn about the various types of UDFs: scalar, inline, and multi-statement table-valued. You’ll also learn best practices.

Scalar user defined functions

What was yesterday?

One in one out

Multiple inputs one output

Table valued UDFs

Inline TVF

Multi statement TVF

UDFs in action

Execute scalar with select

EXEC scalar

Execute TVF into variable

Maintaining user defined functions

CREATE OR ALTER

Best practices

User Defined Functions

Learn how to create, update, and execute stored procedures. Investigate the differences between stored procedures and user defined functions, including appropriate scenarios for each.

Stored procedures

CREATE PROCEDURE with OUTPUT

Output parameters vs. Return values

Oh CRUD!

Use SP to INSERT

Use SP to UPDATE

Use SP to DELETE

Let's EXEC!

EXECUTE with OUTPUT parameter

EXECUTE with return value

EXECUTE with OUTPUT & return value

TRY & CATCH those errors!

Your very own TRY..CATCH

CATCH an error

Stored Procedures

Apply your new skills in temporal EDA, user-defined functions, and stored procedures to solve a business case problem. Analyze the New York City taxi ride dataset to identify average fare per distance, ride count, and total ride time for each borough on each day of the week. And which pickup locations within the borough should be scheduled for each driver shift?

Case study EDA & imputation

Use EDA to find impossible scenarios

SPs vs UDFs

Mean imputation

Hot Deck imputation

Case study UDFs

CREATE FUNCTIONs

Test FUNCTIONs

Formatting tools

Logical weekdays with Hot Deck

Format for Germany

Case study stored procedures

NYC Borough statistics SP

NYC Borough statistics results

Pickup locations by shift

Pickup locations by shift results

Congratulations!

NYC Taxi Ride Case Study

Trip Data

Bike Share Data

Take your SQL Server programming to the next level. First, we demystify how to manipulate datetime data by performing temporal exploratory data analysis with the Washington DC BikeShare transactional dataset. Then, you’ll master how to create, update, and execute user-defined functions and stored procedures. You will learn the proper context for each modular programming tool and best practices. In the final chapter, you will apply all of your new skills to solve a real-world business case identifying the New York City yellow taxi utilization for each borough, and which pickup locations should be scheduled for each driver shift.

Functions for Manipulating Data in SQL Server

Master SQL Server programming by learning to create, update, and execute functions and stored procedures.

Writing Functions and Stored Procedures in SQL Server

SQL Server-Entwickler

SQL Server für Datenbankadministratoren

SPs vs UDFs

Interaktive praktische Übung