What is Data Engineering?
Data Engineering involves a group of operations that provide the ability to create interfaces and mechanisms for information flow and access, in which a professional design, develop and maintain systems that process great amounts of data.
Data Engineering has been consolidated as the practice by which data is obtained, depurated and filtered for its later exploitation. Whenever we work with Big Data, Data Engineering is set as a key process.
What does Data Engineering allow?
Building data pipelines in order to gather information from different sources
Designing, developing and supervising data processing in a Big Data Project
Structuring and consolidating data in order to use them in analytic applications
Storing, ordering and extracting conclusions in an effective way through available data
Working on innovative projects that are fundamental for the development of the company
Developing infrastructure that stores, extracts and transforms data
Implementation Process
1
Survey of definitions and requirements
2
Technologies and tools selection
3
Framework implementation and service configuration
4
Data integration pipelines development
5
Validation and deployment
6
Control and documentation
Value
Data Engineering allows you to look for valuable information for your business, understand the tools by which data transportation must be carried out and build the connections in order to provide the rest of the Data team with information.
A living architecture that follows all business directives is created. Flexibility is looked for in order to create a Technology and Data based company