Data Engineering

Building pipelines that prepare and transform data for a better data science

How it works

Data Engineering requires knowing how to derive value from data, as well as, the practical engineering skills to move data from point A to point B on modern complex architectures that can be a simple batch oriented architecture to a modern low latency real time architecture.

Our data Engineers employ various data tools and techniques to construct and implement frameworks and data architectures that prepare information for use accross organization.

Data Engineering is ruled with master principles:

Understand the needs of data consumers

Where is the data going to be used

How data will be validated

What are the rules and the outcome for the consumers

Technology Partners

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