Data Engineering

Automated, Efficient, Flexible, Scalable, Adaptable

Data Engineering is the process of designing, building, testing, and maintaining the infrastructure that stores, processes, and retrieves large and complex datasets. It combines elements of software engineering, data science, and DevOps to create scalable, efficient, and reliable data systems.

Data Engineers are responsible for:

Data Engineering involves working with various tools and technologies, such as:

The goals of Data Engineering include:

By achieving these goals, Data Engineers play a crucial role in driving business success by enabling organisations to make better decisions, improve operational efficiency, and drive innovation.

Courses on Data Engineering

Apache Spark
Apache Kafka
Scala Programming
Data Bricks
Analytics (Big Data | Hadoop | Mongo DB)
Administration (Big Data | Hadoop | Mongo DB)