The Technology and Infrastructure behind Data Pipelines

The Technology and Infrastructure behind Data Pipelines

Brendan explains some of the considerations that need to be made when building out a data pipeline, including open source versus proprietary software, data storage and ETL tooling.
Overview

Data pipelines require an extensive amount of tooling in order to support efficient data usage. The following covers what it means to actually get data into an environment in a prepared way so data scientists can begin their analyses.

Key learning objectives:

  • Understand the difference between open source and proprietary

  • Define the importance of the data pipeline and its individual components

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Expert
Brendan Stennett

Brendan Stennett

Brendan is the Co-Founder and CTO of ThinkData Works, which built and manages the very popular data management platform, Namara.io. He is a self-taught developer who has been working in the tech industry for over 10 years.

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