Data SEAM Architecture -A method of bringing all your key DataTeams together

Let's SEAM ( Scientist, Engineer, Analyst, and ML Engineer) all your data pieces (structured, semi-structured, unstructured, and stream) together to give your organization a unified data platform that can be used by all your key data teams

SEAM the Data Teams together

As we all know Data Collaboration brings higher value to the business and its very essential for any organization to bring the data teams together for better results and the well-being of the business!!!

Data SEAM architecture is a method of bringing all your key data teams together

Data SEAM ( Scientist, Engineer, Analyst, and ML Engineer) Architecture

The above represents a unified architecture that SEAMs your key data teams ( Scientists, Engineers, Analysts, and ML Engineers) together

To get all your key data teams together, the first thing we should do is data collaboration i.e bringing all the required data from various internal and external sources to unlock new consumer intelligence, the data can be either streamed in real-time or ingested in batches.

Then the data should be Organized into three different stages (raw data, cleaned data, and consumer-ready data) using the…