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- ![ GraMi Tests ] ( https://github.com/bayer-science-for-a-better-life/grami/workflows/GraMi%20Tests/badge.svg?branch=master )
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![ grami_icon] ( https://github.com/bayer-science-for-a-better-life/grami/blob/master/grami_banner.png?raw=true )
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---
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+ ---
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+ ###
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+ ![ GraMi Tests] ( https://github.com/bayer-science-for-a-better-life/grami/workflows/GraMi%20Tests/badge.svg?branch=master )
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+ ![ GraMi Build] ( https://github.com/bayer-science-for-a-better-life/grami/workflows/Publish%20package%20to%20GitHub%20Packages/badge.svg?branch=master )
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+ ###
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---
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- Do you have a lot of data for your [ Grakn.ai] ( https://github.com/graknlabs/grakn ) use case and want to focus on modeling, inference, and queries?
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+ If your [ Grakn.ai] ( https://github.com/graknlabs/grakn ) project
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+ - has a lot of data
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+ - and you want/need to focus on schema design, inference, and querying
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- Use GraMi (** Gra** kn** Mi** grator) to read your entity and relation data from tabular files and migrate them into grakn ** at scale** :
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+ Use GraMi (** Gra** kn** Mi** grator) to take care of your data loading for you. GraMi streams data from files and migrates them into grakn ** at scale** !
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## Features:
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- Data Input:
You can’t perform that action at this time.
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