What are the best practices for using mock data in development?
Using mock data effectively involves creating realistic datasets, ensuring data privacy, and maintaining consistency.
How do I generate realistic mock data?
You can use tools like Faker or Mockaroo to generate realistic names, addresses, and other data types.
Should I use the same mock data for different environments?
It's best to tailor mock data for each environment to reflect specific use cases and avoid confusion.
What are common pitfalls to avoid with mock data?
Common pitfalls include using outdated data, not updating mock data with changes in the schema, and over-relying on it.
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