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Druid Sneak Peek: Schema Inference and Arrays
May 1, 2023 • blog, apache, druid, imply, iot, sql, tutorial
One of the strong points of Druid has always been built-in schema evolution. However, upon getting data of changing shape into Druid, you had two choices:
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Multi-Value Dimensions in Apache Druid (Part 5)
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Druid Sneak Peek: Timeseries Interpolation
Apr 8, 2023 • blog, apache, druid, imply, iot, sql, tutorial
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Druid 26 Sneak Peek: Window Functions
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Selective Bulk Upserts in Apache Druid
Mar 7, 2023 • blog, druid, imply, adtech, tutorial, update, crud
Apache Druid is designed for high query speed. The data segments that make up a Druid datasource (think: table) are generally immutable: You do not update or replace individual rows of data; however you can replace an entire segment with a new version of itself.
-
Druid Sneak Peek: Schema Inference and Arrays
One of the strong points of Druid has always been built-in schema evolution. However, upon getting data of changing shape into Druid, you had two choices:
-
Multi-Value Dimensions in Apache Druid (Part 5)
-
Druid Sneak Peek: Timeseries Interpolation
-
Druid 26 Sneak Peek: Window Functions
-
Selective Bulk Upserts in Apache Druid
Apache Druid is designed for high query speed. The data segments that make up a Druid datasource (think: table) are generally immutable: You do not update or replace individual rows of data; however you can replace an entire segment with a new version of itself.