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Experiments with Schema Evolution in Apache Druid
Apache Druid is known for its ability to handle schema changes during data ingestion and query in an extraordinarily flexible way. Normally, you don’t even need to worry because everything is handled automatically for you. However, there are a few edge cases that data engineers and data analysts should be aware of. Let’s have a look.
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Experiments with Schema Evolution in Apache Druid
Apache Druid is known for its ability to handle schema changes during data ingestion and query in an extraordinarily flexible way. Normally, you don’t even need to worry because everything is handled automatically for you. However, there are a few edge cases that data engineers and data analysts should be aware of. Let’s have a look.
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Experiments with Schema Evolution in Apache Druid
Apache Druid is known for its ability to handle schema changes during data ingestion and query in an extraordinarily flexible way. Normally, you don’t even need to worry because everything is handled automatically for you. However, there are a few edge cases that data engineers and data analysts should be aware of. Let’s have a look.
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- descriptionApache Druid is known for its ability to handle schema changes during data ingestion and query in an extraordinarily flexible way. Normally, you don’t even need to worry because everything is handled automatically for you. However, there are a few edge cases that data engineers and data analysts should be aware of. Let’s have a look.
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- og:descriptionApache Druid is known for its ability to handle schema changes during data ingestion and query in an extraordinarily flexible way. Normally, you don’t even need to worry because everything is handled automatically for you. However, there are a few edge cases that data engineers and data analysts should be aware of. Let’s have a look.
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