What you would learn in Data Engineering for Beginner using Google Cloud & Python course?
"Data is the new oil."
You may have heard this phrase before. The digital age of data is equivalent to oil in industrial times. However, as with oil, data in its raw form cannot be used. Instead, value comes from obtaining it thoroughly and precisely, linked to other pertinent data, and then promptly.
Another role, for instance, a data scientist or machine-learning engineer, can then turn the data to gain valuable business insights. Data engineers design and construct pipelines to transform and transfer data into usable formats. Similar to raw oil being changed into petrol that can be used in a complex process.
Becoming an engineer in data requires extensive knowledge of data and practice. The course will be the initial step for those who wish to understand more the basics of data engineering. In this course, you will explore theories and practical training to help you understand the field of data engineering. Since data engineering is extensive, the course will teach you the fundamental foundational knowledge of data engineering processes and tools.
This course is a great way to establish the basis to move into the field of data. This course will teach us: you will study:
Introduction to data engineering
Databases that are relational and nonrelational
Data models for the relational and nonrelational model
Fact & dimension tables
Denormalization of tables for warehouses with data
ETL (Extract Transform Load) & data staging using python pandas
The numbers that engineers must be aware of and how it is connected to massive data
Spark cluster on google cloud data proc
The field of data is huge! The course will be regularly revised; however, it will include basic concepts and some hands-on examples for data engineering.
At present, this course is designed for beginners in data engineering.
If you've got some prior experience in programming and you are wondering about the data engineering process, this course is the one for you.
If you've worked in the fields of data engineering, This course may seem too elementary for you (although I'd be very grateful should you decide to buy the course)
If you've never written Python or SQL before this course, it isn't suitable for you. To comprehend what you will learn, you should understand the basics of SQL and Python.
Content of the Course:
Data engineering basics What is data engineering? Why is it required, and how to achieve it from scratch
Relational database model, database modelling for normalization design & hands-on using PostgreSQL & python / pandas