t cht lk simplify data preparation and enhance Druid ’ s capabilities ?
t cht lk simplify data preparation and enhance Druid ’ s capabilities ?
There ’ s both short-term significance and longer-term implication with the architectural introduction of shuffle joins . For quick context , Druid has supported joins since version 0.18 but the previous join capabilities were limited to joining tables that could fit in memory to maintain high CPU efficiency for query performance .
Now that Druid supports shuffle joins at ingestion , Druid can join large data sets at ingestion , which simplifies data preparation , minimizes reliance on external tools and adds to Druid ’ s capabilities for indatabase data transformation .
Can you elaborate on the recent product updates and enhancements made to Imply Polaris , the cloud database service for Apache Druid ?
Imply Polaris has seen tremendous growth and adoption since it was first introduced in March 2022 .
How does Imply Polaris optimize data operations and deliver an end-to-end service from stream ingestion to data visualization ?
While Imply Polaris is a cloud service for Apache Druid , it takes a more expansive approach to its value than simply cloudifying Druid .
Polaris handles sizing , scaling and upgrades without the operational effort of self-managing open-source software .
Imply Polaris has seen tremendous growth and adoption since it was first introduced in March 2022 . Development teams utilize Polaris as it ’ s the ‘ easy button ’ for getting all the Druid performance without having to become an expert in it . Since its initial availability , Imply ’ s engineering team continues to add product enhancements and features that improve the developer experience .
Data ingestion is made very simple as it supports pushbased ingestion that enables event data to stream directly into Polaris without the need to stand up a new streaming pipeline . And for visualization , Polaris includes a robust framework where developers can immediately start visualizing the data as it is ingested in real-time and utilize its API to embed visualizations easily into their applications . p
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