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Data Engineering from Design to Implementation | Views

Data Engineering from Design to Implementation | Views

Learn how to design a data model. Learn how to set up and ETL process from source to database.Data Engineering from Design to Implementation | Views

What you'll learn

  • Learn how to design a data model.
  • Learn how to set up and ETL process from source to database.
  • Learn how to extract valuable information from your database.
  • Learn how to present your information as business intelligence in insightful ways.
  • Learn how to structure data.
  • Learn how to create database views.
  • Learn how to conduct calculations in SQL on your data.

Requirements

  • No prior experience needed, this course will cover everything from start(Design) to finish(Implementation)

Description

This course will teach you data engineering from start to finish. This course covers all you need to know from the physical design of our data structures to implementation where we the course will provide you with step by step instructions to follow along.

We will be using unformatted source data and convert this data into usable and valuable information. This process entails everything you need to know, from data design, ETL, information access, data analysis, and lastly information presentation in the form of business intelligence.

This course will include data files that you can use to follow along in the step by step tutorials, to ensure that you have all the information that you need at your disposal to make this course a breeze.

We will be looking at the processes that I have found to work the best in a real live environment. These are methods that can be employed in any business and the teachings of this course will provide you with the required information to start your journey in data engineering.

We will be looking at the following main topics in this course:

  • Data Design
  • Data Structuring
  • Dimensional Modeling
  • UML (Unified Modeling Language)
  • ERDs (Entity Relational Models)
  • SQL (Structured Query Language)
  • Power BI
  • etc.

I look forward to seeing you in the course and sharing this learning experience with you!

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