Case study to share my experience how easy is to setup a working Analytics DB by using Imply Polaris. Leverage the batch ingestion APIs using python, using Apache airflow scheduler. How we leveraging Theta sketches for unique property listing calculation. Overall experience with Polaris while I’ve built this PoC to fulfill our Self Serve Analytics needs.
Demo Video: Imply Polaris Overview
Imply Polaris is a cloud-native database-as-a-service that simplifies the developer experience by providing all the advantages of Apache Druid, plus auto-scaling for seamless data ingestion, enhanced security,...
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From supporting ad-hoc queries across massive time series datasets to ensuring data freshness and scalability, our panelists will share insights into selecting the right database solutions that can deliver...
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