Want to learn how to transform raw data into actionable insights that drive meaningful decisions? Our Practical Data Integration course rounds out your career preparation by delving into the critical phase of the data engineering pipeline, empowering students with the skills needed to ingest data in scalable and efficient ways. Master the art of optimization as you explore various techniques in data transformation, connections, and staging. By the end of the course, you'll not only possess the essential knowledge to refine and enhance data, but also the expertise to seamlessly turn it into a valuable service for analysts, business intelligence professionals, data scientists, and your fellow data engineers. This is the third course in the Practical Data Engineering Certificate program. Before enrolling, students must complete Data Engineering Fundamentals (PDE-X800) and Practical Data Extraction (PDE-X801).
Number of Units: 2.0 graduate level extension credit(s) in semester hours
Who Should Attend: Our Practical Data Extraction courses provide continuing education for the following:
Technical Requirements
Prerequisites:
Once you have enrolled in your course, log in to your account to access the course Welcome Letter, which includes directions on how to access the New Student Orientation and your online course.
Current or aspiring data engineers who complete our series of professional engineering courses can expect to:
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Courses offer a convenient, yet rigorous style of learning that allows you to structure your education to suit your schedule while keeping you on pace toward achieving your educational.
Online fixed-date courses are delivered virtually but follow a predetermined schedule, requiring students to complete assignments, participate in discussions, and take assessments by specific deadlines—much like a traditional classroom. The key difference is that while traditional courses are conducted in person at set times and locations, online fixed-date courses allow students to engage remotely, offering more flexibility in where they learn while preserving structure and accountability through fixed timelines. (Note: Any scheduled Zoom sessions will be outlined on the class schedule.) These courses have fixed start and finish dates, but as an online student you will have 24/7 online access to your classroom assignments, syllabus and course resources. Instructor feedback is shared along with the graded assignments.
How is the learning structured? Each online fixed-date course is asynchronous, meaning that you can work on your assignments anytime, although you are required to complete the assignments by specific dates. The course is designed with learning modules where all of the content is grouped into weekly assignments. Each module covers one or more topics. Within each of the learning modules, you can expect the following components:
• Module introduction that outlines what you can expect to learn in the module.
• Required readings (textbook, articles, journals, etc.) and presentations (audio and/or video).
• Assignments with due dates (which may include: written assignments, journal entries, research, blogs, etc.) based on the readings and presentations.
• Discussion forum where you answer prompts from the instructor and interact with your classmates.
• Module conclusion to review the topics and what you should have learned.
Typically, there is a final project, paper, or exam due in the last module that culminates all of the topics covered in each of the learning modules. You’ll find that the design of the learning modules has a rhythm to help you manage your time in the course.
Each online, fixed-date course is seven weeks long. Students are required to complete certain assignments by specific dates, but have 24/7 access to coursework to complete assignments on a schedule that is convenient for them.
Students should have completed PDE-X800 Data Engineering Fundamentals and PDE-X801 Practical Data Extraction prior to enrolling in PDE-X802 Practical Data Integration. However, no prior professional experience in data engineering is required.
Practical Data Integration is worth two academic or Continuing Education Units (CEUs). It is part of the Practical Data Engineering Certificate program.
Upon successful completion of Practical Data Integration, you will have a fundamental understanding of data architecture, data mastering, data integration, and data staging, as well as the ethical requirements around security, data privacy, data governance, and documentation.
Find the benefits to earning a Practical Data Engineering Certificate in our eBook.
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