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Geospatial Data in Apache Druid - Ingestion
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Multi-Value Dimensions in Apache Druid (Part 2)
This is part 2 of a miniseries about multi-value dimensions in Apache Druid. More posts can be found here:
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Creating PagerDuty Alerts with Imply Pivot
Aug 22, 2021 • blog, apache, druid, imply, tutorial, pivot, operations
In an earlier post I discussed how to enable the alerting capabilities of Imply Pivot and send out alerts via email.
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Experiments with Schema Evolution in Apache Druid
Aug 13, 2021 • blog, apache, druid, imply, tutorial, data-governance
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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Multi-Value Dimensions in Apache Druid (Part 1)
Apache Druid is a high performance, distributed OLAP database that also has characteristics of a timeseries database. One feature that sets Druid apart from its competitors is the ability to use multi-value dimensions. The documentation on this feature seems to be a bit terse though, so I am going to start a loose series of posts to shed some light on questions such as:
-
Geospatial Data in Apache Druid - Ingestion
-
Multi-Value Dimensions in Apache Druid (Part 2)
This is part 2 of a miniseries about multi-value dimensions in Apache Druid. More posts can be found here:
-
Creating PagerDuty Alerts with Imply Pivot
In an earlier post I discussed how to enable the alerting capabilities of Imply Pivot and send out alerts via email.
-
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.
-
Multi-Value Dimensions in Apache Druid (Part 1)
Apache Druid is a high performance, distributed OLAP database that also has characteristics of a timeseries database. One feature that sets Druid apart from its competitors is the ability to use multi-value dimensions. The documentation on this feature seems to be a bit terse though, so I am going to start a loose series of posts to shed some light on questions such as: