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Functions for Manipulating Data in SQL Server

Learn the most important functions for manipulating, processing, and transforming data in SQL Server.

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4 Hours14 Videos54 Exercises18,369 Learners

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Course Description

In this course, you will learn how to make use of the most important functions for manipulating data provided by SQL Server. You can use these functions for processing and transforming data to get the results you want.
  1. 1

    Choosing the appropriate data type

    Free

    In this chapter, you will learn what are the most used data types in SQL Server. You will understand the differences between implicit and explicit conversion and how each type of conversion manifests. You will also get familiar with the functions used for explicitly converting data: CAST() and CONVERT().

    Play Chapter Now
    Welcome to this course!
    50 xp
    Working with different types of data
    100 xp
    Storing dates in a database
    100 xp
    Types of character strings
    50 xp
    Implicit conversion
    50 xp
    Implicit conversion between data types
    100 xp
    Data type precedence
    100 xp
    Explicit conversion
    50 xp
    CASTing data
    100 xp
    CONVERTing data
    100 xp
    Working with the correct data types
    100 xp
  2. 2

    Manipulating time

    Date and time functions are an important topic for databases. In this chapter, you will get familiar with the most common functions for date and time manipulation. You will learn how to retrieve the current date, only parts from a date, to assemble a date from pieces and to check if an expression is a valid date or not.

    Play Chapter Now
    Functions that return system date and time
    50 xp
    Get the know the system date and time functions
    100 xp
    Selecting parts of the system's date and time
    100 xp
    Functions returning date and time parts
    50 xp
    Extracting parts from a date
    100 xp
    Generating descriptive date parts
    100 xp
    Presenting parts of a date
    100 xp
    Creating a date from parts
    100 xp
    Performing arithmetic operations on dates
    50 xp
    Arithmetic operations with dates
    50 xp
    Modifying the value of a date
    100 xp
    Calculating the difference between dates
    100 xp
    Validating if an expression is a date
    50 xp
    Changing the date format
    100 xp
    Changing the default language
    100 xp
    Correctly applying different date functions
    100 xp
  3. 3

    Working With Strings

    Strings are one of the most commonly used data types in databases. It's important to know what you can do with them. In this chapter, you will learn how to manipulate strings, to get the results you want.

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    Functions for positions
    50 xp
    Calculating the length of a string
    100 xp
    Looking for a string within a string
    100 xp
    Looking for a pattern within a string
    100 xp
    Functions for string transformation
    50 xp
    Changing to lowercase and uppercase
    100 xp
    Using the beginning or end of a string
    100 xp
    Extracting a substring
    100 xp
    Replacing parts of a string
    100 xp
    Functions manipulating groups of strings
    50 xp
    Concatenating data
    100 xp
    Aggregating strings
    100 xp
    Splitting a string into pieces
    100 xp
    Applying various string functions on data
    100 xp
  4. 4

    Recognizing Numeric Data Properties

    In this chapter, you will work with functions applied to numeric data. You will use aggregate functions for calculating the minimum, maximum or the sum of values from a set. You will learn how to raise a number to a power or to calculate its square root.

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    Aggregate arithmetic functions
    50 xp
    Learning how to count and add
    100 xp
    MINimizing and MAXimizing some results
    100 xp
    Analytic functions
    50 xp
    Accessing values from the next row
    100 xp
    Accessing values from the previous row
    100 xp
    Getting the first and last value
    100 xp
    Mathematical functions
    50 xp
    Extracting the sign and the absolute value
    100 xp
    Rounding numbers
    100 xp
    Working with exponential functions
    100 xp
    Manipulating numeric data
    100 xp
    Wrapping things up
    50 xp

In the following tracks

SQL Server DeveloperSQL Server Fundamentals

Datasets

Voters datasetRatings dataset

Collaborators

Mona Khalil
Sara Billen
Marianna Lamnina

Prerequisites

Time Series Analysis in SQL Server
Ana Voicu HeadshotAna Voicu

Software Developer

Ana Voicu is a software developer, passionate about databases, Business Intelligence, and data science. She works on developing enterprise level BI solutions for various types of industries, with a focus on performance optimization, pattern recognition, efficient analysis of the business processes, and interactive visualizations. What Ana loves most is overcoming challenges related to database performance by finding the most efficient way to solve an issue. Ana loves sharing her knowledge with others and constantly tries to find ways to make things understandable. When she’s not traveling to all sorts of places, you can find her at home, raising pigeons and learning to play the piano.
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