Watch Shashank Mishra (Data Engineer III, Expedia) explain how to create a data pipeline in this exclusive tutorial video. Check out our FREE masterclasses by leading industry experts now: https://www.scaler.com/events?utm_sou...

When designing data pipelines, there are several elements to consider, and early decisions have significant consequences for future performance.
However, before we can grasp the design process, we must first understand what a data pipeline is.

A data pipeline is a series of elements that automatically gather, organise, transfer, convert, and process data from one place to another, ensuring that the data is in a usable condition for enterprises to allow a data-driven culture.
Put in simpler words,
A data pipeline is a series of activities that ingest raw data from many sources and transport it to a destination for storage and analysis.

The most important thing is to have a flexible, scalable data pipeline that can adapt to new use cases for data while scaling as your data volume grows.

A data engineer is someone who acts as a gatekeeper and facilitator of data transit and storage. They create data reservoirs and are critical in managing such reservoirs.

Data Engineering, as a profession is fast gaining pace in the data science ecosystem, and due to the strong need for Data Engineers, even FAANG companies are willing to spend a fortune for qualified individuals.

The following topics are covered in this designing a Data Pipeline video:

00:00 - Introduction
00:57 - Understanding of data domains
02:57 - Choosing data sources
04:43 - Determine the data ingestion strategy
08:37 - Design the data processing plan
11:11 - Set up storage for the pipeline output
13:19 - Plan the data workflow
14:42 - Monitoring and governance tools
16:22 - Designing a demo data pipeline


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