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Ian Fogelman

SQL Server offers powerful native tools for data cleansing. Without using a third-party solution for data cleansing, you can enhance data quality with TSQL. This course will teach you solutions and best practices for data cleaning in SQL Server.

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SQL Server offers powerful native tools for data cleansing. Without using a third-party solution for data cleansing, you can enhance data quality with TSQL. This course will teach you solutions and best practices for data cleaning in SQL Server.

Have you ever wondered the quickest and lowest maintenance way to solve data quality issues in SQL Server? In this course, Automating Data Cleansing in SQL Server, you’ll gain the ability to automate stored procedures and write TSQL to help improve data quality for your SQL Server environment. First, you’ll explore stored procedures. You will learn how to create, alter, and delete stored procedures. Next, you’ll discover how to use the SQL Server agent to schedule your stored procedures and data cleansing jobs. Finally, you’ll learn how to set up SQL Server alerts to let you know when data anomalies have occurred and may need your attention. When you’re finished with this course, you’ll have the skills and knowledge of using native SQL Server solutions needed to design data cleaning solutions on the platform.

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What's inside

Syllabus

Course Overview
Designing Stored Procedures for Data Cleaning
Automating Data Cleaning

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches data cleaning in SQL Server, which is an essential skill for data management in the software industry
Provides practical solutions for data quality issues in SQL Server
Focuses on best practices for data cleansing, ensuring learners adhere to industry standards
Covers automation and T-SQL programming, aligning with technical skill requirements in data management
Designed for learners with prior knowledge in SQL Server, considering its focus on stored procedures and data cleansing jobs
Taught by Ian Fogelman, a respected instructor in the field of data management

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Automating Data Cleansing in SQL Server with these activities:
Follow T-SQL tutorials for beginners
Supplement your learning by exploring beginner-friendly T-SQL tutorials.
Browse courses on T-SQL
Show steps
  • Identify reputable T-SQL tutorial resources
  • Go through the tutorials step-by-step
  • Practice the concepts covered in the tutorials
Brush up on T-SQL basics
Sharpen your foundational T-SQL skills to lay a solid foundation for the course.
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Show steps
  • Review T-SQL syntax and data types
  • Practice writing basic T-SQL queries
  • Create and modify tables using T-SQL
Create and populate an AdventureWorks2019 Database
Create a database and populate it with sample data in preparation for this course. This will help you build a solid foundation understanding of the course material and become familiar with the tools and techniques used in SQL Server data cleansing.
Show steps
  • Download and install Microsoft SQL Server Management Studio (SSMS)
  • Create a new SQL Server database
  • Populate the database with the AdventureWorks2019 sample data
Ten other activities
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Review SQL Syntax
Revisiting SQL syntax will help you with taking this course. It will ensure you are prepared for the material you are about to learn.
Browse courses on SQL Syntax
Show steps
  • Open a SQL editor.
  • Create a new database.
  • Write a query to create a table.
  • Write a query to insert data into the table.
  • Write a query to select data from the table.
Review relational database management systems (RDBMS)
Review the fundamentals of relational database management systems to strengthen your understanding of the concepts covered in this course.
Show steps
  • Read introductory articles and tutorials on RDBMS
  • Take practice quizzes or complete practice exercises on RDBMS concepts
  • Review your notes or materials from previous courses on RDBMS
Follow a T-SQL Tutorial
Enhance your understanding of T-SQL by following a guided tutorial.
Browse courses on T-SQL
Show steps
  • Find a tutorial
  • Follow the steps in the tutorial
Solve T-SQL coding challenges
Reinforce your understanding of T-SQL by tackling coding challenges.
Browse courses on T-SQL
Show steps
  • Find online T-SQL coding challenges
  • Attempt to solve the challenges on your own
  • Review solutions and identify areas for improvement
Complete SQL practice problems
Practice writing SQL queries to enhance your proficiency in data manipulation and retrieval.
Browse courses on SQL
Show steps
  • Find online SQL practice problems or download practice sets
  • Attempt to solve the practice problems on your own
  • Review the solutions and identify areas for improvement
  • Repeat the process until you feel confident in your SQL skills
Study Group
Collaborate with other students to discuss and solve data cleansing problems.
Browse courses on Data Cleansing
Show steps
  • Find a study group
  • Meet regularly to discuss course material and work on projects
T-SQL Exercises
Practice writing T-SQL code to improve your data cleansing skills.
Browse courses on T-SQL
Show steps
  • Set up a SQL Server environment
  • Create a database and tables
  • Write T-SQL queries to clean data
Blog Post on Data Cleansing Techniques
Share your knowledge of data cleansing by writing a blog post.
Browse courses on Data Cleansing
Show steps
  • Choose a topic
  • Write the post
  • Publish the post
Design a data cleaning solution for a real-world dataset
Apply your T-SQL skills to a practical project, showcasing your ability to solve real-world data challenges.
Browse courses on Data Cleaning
Show steps
  • Identify a suitable dataset
  • Analyze the dataset to identify data quality issues
  • Design and implement a T-SQL solution to clean the data
  • Evaluate the results and refine your solution if necessary
Data Cleansing Project
Apply your data cleansing skills to a real-world project.
Browse courses on Data Cleansing
Show steps
  • Identify a dataset that needs cleaning
  • Write T-SQL code to clean the data
  • Document your work

Career center

Learners who complete Automating Data Cleansing in SQL Server will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts are tasked with cleaning, organizing, and modeling data so that it can be used in business analysis. This course on Automating Data Cleansing in SQL Server will help you build a foundation in the use of TSQL and stored procedures to make this process more efficient, helping you to succeed as a Data Analyst.
Data Engineer
Data Engineers design and build data pipelines to transport and transform data, making it available to all in an organization. This course on Automating Data Cleansing in SQL Server may be useful to you as you design pipelines to move data from disparate locations into a common repository and structure it for analysis.
Data Scientist
Data Scientists use data to solve real-world problems. They may use a variety of statistical and machine learning models to do so. This course on Automating Data Cleansing in SQL Server may be useful as you develop models. In order to build effective models, you need clean data; this course can teach you how to remove invalid and incomplete data that may result in skewed models.
Database Administrator
Database Administrators maintain and troubleshoot databases. They ensure that data is properly stored and accessed securely. This course on Automating Data Cleansing in SQL Server may be useful as it can help ensure that you keep data clean by using automated, scheduled jobs, which can reduce time spent cleaning up messy data.
Software Engineer
Software Engineers design and develop software to meet customer needs. They may work on a variety of projects, including developing data analytics platforms and visualizations, which require clean data. This course on Automating Data Cleansing in SQL Server may be useful as you develop software that reads in and uses data, though it should be noted that this course focuses on SQL Server, whereas you may need to learn to clean data in other databases as well.
Business Analyst
Business Analysts gather and analyze data to help businesses make informed decisions. This course on Automating Data Cleansing in SQL Server may be useful as you will need to use clean data in order to make accurate recommendations.
Data Architect
Data Architects design and manage data architectures. They ensure that data is stored and accessed in a way that meets the needs of the business. This course on Automating Data Cleansing in SQL Server may be useful as you may need to develop automated data cleansing processes as part of your role.
IT Manager
IT Managers oversee the IT infrastructure of an organization. They are responsible for ensuring that the network, servers, and databases are running smoothly. This course on Automating Data Cleansing in SQL Server may be helpful for IT Managers responsible for managing SQL Server databases as part of their role.
Information Systems Manager
Information Systems Managers plan, implement, and maintain information systems for organizations. This course on Automating Data Cleansing in SQL Server may be useful as you may need to ensure that data is clean before it is used in these systems.
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve business problems. This course on Automating Data Cleansing in SQL Server may be useful as you may need to use clean data when building your models and simulations.
Statistician
Statisticians collect, analyze, and interpret data to help businesses make informed decisions. This course on Automating Data Cleansing in SQL Server may be useful as it will help you ensure that you are using clean, accurate data in your analyses.
Market Researcher
Market Researchers study market conditions to help businesses make informed decisions. This course on Automating Data Cleansing in SQL Server may be useful as it can help you ensure that you using reliable data in your research.
Financial Analyst
Financial Analysts make recommendations about investments and financial decisions. This course on Automating Data Cleansing in SQL Server may be useful as you will need to ensure that you are using clean data when making your recommendations.
Project Manager
Project Managers plan, execute, and closeout projects. This course on Automating Data Cleansing in SQL Server may be useful as it will help you ensure that you are using clean data in your project plans, which can help you to more accurately plan and execute your projects.
Computer Programmer
Computer Programmers develop and maintain computer programs. This course on Automating Data Cleansing in SQL Server may be useful as it can help you write cleaner code.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Automating Data Cleansing in SQL Server.
This comprehensive reference guide covers all aspects of data quality, including data cleansing, data profiling, and data validation, providing a valuable resource for further exploration.
Provides a comprehensive overview of data cleansing techniques and best practices, including specific examples and case studies.
Provides a comprehensive guide to T-SQL, including stored procedures and data cleansing techniques.
Teaches Python users how to use Python's powerful data cleansing capabilities to improve data quality. It covers a wide range of data cleansing topics, from basic data types to complex data structures.
Teaches Python users how to use Python's powerful data wrangling capabilities to improve data quality. It covers a wide range of data wrangling topics, from data cleaning to data transformation.
Teaches Python users how to use the Pandas library to manipulate and analyze data. It covers a wide range of data manipulation topics, from data cleaning to data visualization.
This classic work on data warehousing provides a foundation for understanding data quality and data cleansing techniques in the context of data warehousing.
Beginner's guide to machine learning. It covers all aspects of machine learning, from data collection to model deployment. It provides practical advice on how to use machine learning to solve real-world problems.
Teaches Python users how to automate tasks using Python. It covers a wide range of automation topics, from web scraping to data analysis.
Beginner's guide to artificial intelligence. It covers all aspects of artificial intelligence, from machine learning to natural language processing. It provides practical advice on how to use artificial intelligence to solve real-world problems.

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