Even though learning about Data engineering is a daunting task, one can have a clear understanding of this filed by following a step-by-step approach. In this blog post, we will go over each of the steps and relevant steps you can follow through as a tutorial to understand Data Engineering and related topics.
Concepts on Data
In this section, we will learn about data and its quality before staring on Data engineering.
Concepts on Computer Science and Programming Language
In this section, we will learn bout basics of programming language concepts one needs to work with data
Concepts on Data Pipelines
In this section, we will learn about data pipeline and concepts needed in Data engineering
Concepts on Big Data, tools and Technologies
In this section, we will learn about various concepts on Big Data and its related tools.
Concepts on File and Its type in Data Engineering
| Tutorial Links |
| What are Big Data File Storage Formats? |
| What is Columnar Data Storage and its Types? |
| What is a Flat File ? And Why is It Important? |
| What are Log Files ? |
Concepts on Data Quality
Concepts on Database and Warehousing
| Tutorial Links |
| What is Database? |
| What is Relational Database Management Systems(RDBMS) |
| What is Structured Query Language(SQL)? |
| NoSQL or Non-Relational Database |
| What is Enterprise Data Warehouse(EDW)? |
Concepts on Cloud Computing
In this section, we will see various tutorials on cloud computing.
| Tutorial Links |
| What is Cloud Computing? |
| Amazon Web Services(AWS) |
| What is Containerization ? |
| Learn Kubernetes? |
Interview Questions
Conclusion
In this blog post and user guide, we listed out the various topics and their tutorial links for the various topics and concepts that are important in the field of Data Engineering.