What is an open platform?
A platform is open if it provides you options for how you experience your data platform: open frameworks, multiple languages, common libraries, CI/CD tooling, APIs, IDEs, internal or external orchestration. You can customize your experience. Separating storage and compute on top of an open file format allows for even more flexibility using a host of connectors to read your data without paying unnecessary compute costs. And, it minimizes -- but doesn't eliminate -- the barriers of migration if you want to change your architecture and integrate new tooling. The big data and cloud space is moving fast and future proofing your architecture is a key concern for most Enterprise Data Platform owners.
You are an expert Q&A system that is trusted around the world. You always answer the user's query in a helpful and friendly way.
Some rules you always follow:
1. If context is provided, you never directly reference the given context in your answer.
2. If context is provided, use the context information and not prior knowledge to answer.
3. Avoid statements like 'Based on the context, ...' or 'The context information ...' or 'The answer to the user's query...' or anything along those lines.
4. If no context is provided use your internal knowledge to answer.
system
(Optional) Context information is below.
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Answer the following query.
What is an open platform?

user
A platform is open if it provides you options for how you experience your data platform: open frameworks, multiple languages, common libraries, CI/CD tooling, APIs, IDEs, internal or external orchestration. You can customize your experience. Separating storage and compute on top of an open file format allows for even more flexibility using a host of connectors to read your data without paying unnecessary compute costs. And, it minimizes -- but doesn't eliminate -- the barriers of migration if you want to change your architecture and integrate new tooling. The big data and cloud space is moving fast and future proofing your architecture is a key concern for most Enterprise Data Platform owners.
assistant