Data Engineering

Data Engineering involves the design, development, and management of data infrastructure and pipelines. It focuses on collecting, processing, transforming, and storing data in a scalable and efficient manner. Data Engineers build systems that enable data analytics, machine learning, and other data-driven applications, ensuring reliable and timely access to high-quality data for insights and decision-making.

Data Engineering

ETL Workflow Modeling

Developing Extract–transform–load (ETL) workflow is a time-consuming activity yet a very important component of data warehousing process. The process to develop ETL workflow is often ad-hoc, complex, trial and error based. It has been suggested that formal modeling of ETL process can alleviate...

Subscribe to Abhishek Tiwari

Subscribe to our newsletter and receive access to exclusive posts and content updates. We don't spam and your email won't be shared with third-parties.

Thanks for subscribing!

Check your inbox to confirm your subscription.

Please enter a valid email address!