Data is one of your business’s most valuable commodities. In this track you’ll learn the key skills you need to set-up, design, maintain, and monitor your team’s database. Dive in and learn the key SQL Server skills you need to securely manage access and monitor database performance using SQL server.

Dive in and learn the key SQL Server skills you need to securely set-up, design, and maintain your business’s database.

SQL Server for Database Administrators

In this chapter, you'll create your very first database with a set of simple SQL commands. Next, you'll migrate data from existing flat tables into that database. You'll also learn how meta-information about a database can be queried.

Your first database

After building a simple database, it's now time to make use of the features. You'll specify data types in columns, enforce column uniqueness, and disallow NULL values in this chapter.

Enforce data consistency with attribute constraints

Now let’s get into the best practices of database engineering. It's time to add primary and foreign keys to the tables. These are two of the most important concepts in databases, and are the building blocks you’ll use to establish relationships between tables.

Uniquely identify records with key constraints

In the final chapter, you'll leverage foreign keys to connect tables and establish relationships that will greatly benefit your data quality. And you'll run ad hoc analyses on your new database.

Glue together tables with foreign keys

You’ve already used SQL to query data from databases. But did you know that there's a lot more you can do with databases? You can model different phenomena in your data, as well as the relationships between them. This gives your data structure and consistency, which results in better data quality. In this course, you'll experience this firsthand by working with a real-life dataset that was used to investigate questionable university affiliations. Column by column, table by table, you'll get to unlock and admire the full potential of databases. You'll learn how to create tables and specify their relationships, as well as how to enforce data integrity. You'll also discover other unique features of database systems, such as constraints.

Introduction to SQL

Learn how to create one of the most efficient ways of storing data - relational databases! 

Introduction to Relational Databases in SQL

Programming

Start your journey into database design by learning about the two approaches to data processing, OLTP and OLAP. In this first chapter, you'll also get familiar with the different forms data can be stored in and learn the basics of data modeling.

Processing, Storing, and Organizing Data

In this chapter, you will take your data modeling skills to the next level. You'll learn to implement star and snowflake schemas, recognize the importance of normalization and see how to normalize databases to different extents.

Database Schemas and Normalization

Get ready to work with views! In this chapter, you will learn how to create and query views. On top of that, you'll master more advanced capabilities to manage them and end by identifying the difference between materialized and non-materialized views.

Database Views

This final chapter ends with some database management-related topics. You will learn how to grant database access based on user roles, how to partition tables into smaller pieces, what to keep in mind when integrating data, and which DBMS fits your business needs best.

Database Management

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Pitchfork Reviews

A good database design is crucial for a high-performance application. Just like you wouldn't start building a house without the benefit of a blueprint, you need to think about how your data will be stored beforehand. Taking the time to design a database saves time and frustration later on, and a well-designed database ensures ease of access and retrieval of information. While choosing a design, a lot of considerations have to be accounted for. In this course, you'll learn how to process, store, and organize data in an efficient way. You'll see how to structure data through normalization and present your data with views. Finally, you'll learn how to manage your database and all of this will be done on a variety of datasets from book sales, car rentals, to music reviews.

Database Design

Data Engineering

In this chapter, you will learn about recursion and why it is beneficial to apply this technique.  You will also refresh your knowledge about Common Expression Tables (CTE).

Recursion and Common Table Expression (CTE)

In this chapter, you will learn about recursive CTEs,  how to query hierarchical datasets,  and finally, how to apply recursive CTEs on hierarchical data.

Hierarchical and Recursive Queries

In this chapter, you will learn how to create and modify database tables. You will learn about relational and hierarchical data models, how they differ, and when each model should be used.

Creating Data Models on Your Own

In this chapter, you will practice your learnings about hierarchical and recursive querying on real-world problems, such as finding possible flight routes, assembling a car, and modeling a power grid.

Hierarchical Queries of Real-World Examples

Power grid data

Employee data

Department data

Salary data

Bill of materials products data

Bill of materials data

Flights data

Do you want to query complex data structures in an iterative way? Do you have access to hierarchical data structures that need to be queried? This course will teach you the tools required to solve these questions. You will learn how to write recursive queries and query hierarchical data structures. To do this, you will use Common Table Expressions (CTE) and the recursion principle on a wide variety of datasets. You will, for example, dig into a flight plan dataset and learn how to find the best and cheapest connection between two airports. After completing this course, you will understand the principle of recursion, and be able to identify and create hierarchical data models.

Functions for Manipulating Data in SQL Server

Learn how to write recursive queries and query hierarchical data structures.

Hierarchical and Recursive Queries in SQL Server

To begin the course, you will learn how to handle errors using the TRY...CATCH construct that provides T-SQL.  You will study the anatomy of errors, and you will learn how to use some functions that can give you information about errors.

Starting with error handling

In this chapter, you will deepen your knowledge of handling errors. You will learn how to raise errors using RAISERROR and THROW. Additionally, you will discover how to customize errors.

Raising, throwing and customizing your errors

In this chapter, you will be introduced to the concept of transactions. You will discover how to commit and rollback them. You will finish by learning how to return the number of transactions and their state.

Transactions in SQL Server

This chapter defines what concurrency is and how it can affect transactions. You will learn exciting concepts like dirty reads, repeatable reads, and phantom reads. To avoid or allow this reads, you will explore, one by one, the different transaction isolation levels.

Controlling the concurrency: Transaction isolation levels

Electric bike store dataset and Bank accounts dataset

It is critical to know how to handle errors and manage transactions when programming SQL scripts. Unhandled errors can be very harmful and can cause unexpected situations, such as inconsistent data in your database, or even worse, errors can lead you to make wrong business decisions.
In this course, you will learn how to handle errors and discover how to manage transactions in case of an error. Additionally, you will study what happens when two or more people interact at the same time with the same data. You will practice all these concepts using two datasets, one of them based on bank accounts and the other one on an electric bike store.

Intermediate SQL Server

Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.

Transactions and Error-Handling in SQL Server

Transactions and Error Handling in SQL Server

Data Manipulation

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( ).

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.

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

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?

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.

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

Writing Functions and Stored Procedures in SQL Server

An introduction to the basic concepts of SQL Server triggers. Create your first trigger using T-SQL code. Learn how triggers are used and what alternatives exist.

Introduction to Triggers

Learn about the different types of SQL Server triggers: AFTER triggers (DML), INSTEAD OF triggers (DML), DDL triggers, and logon triggers.

Classification of Triggers

Find out known limitations of triggers, as well as common use cases for AFTER triggers (DML), INSTEAD OF triggers (DML) and DDL triggers.

Trigger Limitations and Use Cases

Learn to delete and modify triggers. Acquaint yourself with the way trigger management is done. Learn how to investigate problematic triggers in practice.

Trigger Optimization and Management

Discounts table

Orders table

Products table

Auditing your SQL Server database and keeping data integrity can be a challenging task for DBAs and database developers. SQL Server triggers are special types of stored procedures designed to help you achieve consistency and integrity of your database. This course will teach you how to work with triggers and use them in real-life examples. Specifically, you will learn about the use cases and limitations of triggers and get practice designing and implementing them. You will also learn to optimize triggers to fit your specific needs.

Learn how to design and implement triggers in SQL Server using real-world examples.

Building and Optimizing Triggers in SQL Server

In this chapter, students will learn how SQL code formatting, commenting, and aliasing is used to make queries easy to read and understand.  Students will also be introduced to query processing order in the database versus the order of the SQL syntax in a query.

 Introduction, Review and The Order of Things

This chapter introduces filtering with WHERE and HAVING and some best practices for how (and how not) to use these keywords. Next, it explains the methods used to interrogate data and the effects these may have on performance.  Finally, the chapter goes over the roles of DISTINCT() and UNION in removing duplicates and their potential effects on performance.

Filtering and Data Interrogation

This chapter is an introduction to sub-queries and their potential impacts on query performance.  It also examines the different methods used to determine if the data in one table is present, or absent, in a related table.

Sub-queries and presence or absence

Students are introduced to how STATISTICS TIME, STATISTICS IO, indexes, and executions plans can be used in SQL Server to help analyze and tune query performance.

Query performance tuning

Orders dataset

NBAPlayers dataset

NBATeams dataset

NBAPlayersStatistics dataset

A mission critical assignment is depending on your SQL coding skills. You’ve been given some code to fix.  It is giving the results you need but it’s running too slow, and it’s poorly formatted making it hard to read.  The deadline is tomorrow.  You’ll need to reformat the code and try different methods to improve performance.  The pressure is on!!!  In this course we’ll be using SQL on real world datasets, from sports and geoscience, to look at good coding practices and different ways how we can can improve the performance of queries to achieve the same outcome.

In this course, students will learn to write queries that are both efficient and easy to read and understand.

Learning Experience

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SQL Server for Database Administrators

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Join over 7,490,000 learners and start SQL Server for Database Administrators today!