Automating ETL - Complete Code Challenges and ETL Projects
What you'll learn
- Introduce ETL effectively
- Learn and understand extract
- Learn and understand transform
- Learn and understand load
- Learn the theory behind automation
- Learn how to automate the ETL process
- Learn advanced techniques in extract, transform and load
- See case studies with applied ETL uses for freelancers or business owners
- Mandatory: Computer with Microsoft SQL Server Express (or above) 2008R2 (or above)
- Mandatory: PowerShell ISE 3.0 (or above)
- Optional: Visual Studio 2010 (or above)
- Optional: MongoDB
- Optional: SQL Server Data Tools (SSIS)
This course covers a guide to automating ETL by reviewing each step and how this can be achieved. This course is designed for anyone who works in the data field - from employees to C-suite executives. With the demand for ETL developers increasing (per the Bureau of Labor Statistics and the opportunity to become a data provider (for business owners), I highlight methods and architecture to minimize the work that must be done for ETL, so that you can spend more time working on enhancing skills.
This course covers:
Understanding the extract process and constructing architecture to automate it.
Understanding the load process, when change is necessary with loading, and how to automate it.
Understanding different issues we may face in transform, how to minimize re-facing them with re-usable solutions.
Understanding advanced techniques in ETL, the theory behind these, and applications with them.
Completing code challenges in each of the ETL steps to help you learn as you do.
Reviewing case studies of applied ETL techniques, especially useful for freelancers adding credibility to their business.
Optional course tools of your choice: SQL Server, SSIS, PowerShell, MongoDB, Apache Spark.
To provide maximum learning for students wanting to master ETL skills, whether for business opportunity or employment, the course provides the following material:
New content posted every year since this course began which offer students a look into the new challenges faced by ETL developers.
Q&A responses within 48 hours for students who need assistance along with ongoing discussions that students may find helpful.
Tri-annual bonus material for long-term and successful students in this course based on several metrics provided by Udemy. Technology always changes which is why this course continues to be updated and built with rewards for long time students.
Focused video lectures with demonstrations of ETL processes in action, the code/script used to make the process occur, and no distracting facial or background movements.
Dynamic syllabus with extra content, such as links to articles and videos to enhance and increase your learning, as well as links to specific recruiters in desperate need for ETL developers (students wanting to become employees) and ways to uncover possible data providing opportunities for business owners.
Scripts/code that are used in the video lectures, as well as additional tools that students can learn as they construct their own ETL architecture.
Course material that we use in the course, such as files we import during the series.
Course projects that you complete as well as your own project to develop.
Feedback session for students who meet the requirements where you practice answering questions and presenting your own project.
Understanding, manipulating and transforming data will only become more important in the future. Those who can master this through automation will have an advantage over all their competition because when we see the results of our measurement, only then can we make the appropriate changes; this course shows you how to automate those steps.
Who this course is for:
- Businesses requiring ETL developers
- Students interested in ETL positions
- Employees working in ETL positions
- Employees interested in ETL positions
- Individual business owners who want to perform ETL on their own
- Employers needing ETL developers
- Recruiters wanting to understand ETL positions
I work as a data architect and engineer for FinTek Development. In addition, I have been published in tech magazines hundreds of times and produce technical video how-to content, one of which is my YouTube channel SQL In Six Minutes.
In the decade I've worked in tech, the largest opportunities I've seen involve how firms work with and use their data. From hospitals to businesses to colleges, few organizations understand and use their data effectively. In the same manner, each year brings new challenges which is why my courses are constantly updated with fresh material to benefit long term students.
I am a proponent of the learn-by-doing methodology. Throughout my courses, students are encouraged to complete code challenges to practice what they're learning. I've interviewed many people who could explain theory, but could not complete basic assignments. This type of teaching helps students master learning through application. In addition, my course offers an optional interview to help students get feedback on how to present themselves and their skills to others.
Finally, I've been working with technology since high school where I won awards for development and was the top student in technology, science, mathematics and Spanish. In college, I graduated in the top 1% of my class in information technology. Since I've been working with technology, I have been quick to adopt new platforms and teach them from MongoDB to blockchain to other newer platforms.