🚀 Learn Apache Druid: a high performance real-time analytics database.
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Updated
Sep 26, 2022
🚀 Learn Apache Druid: a high performance real-time analytics database.
A collection of jar files that make up a DataGrip driver able to query Apache Druid
POC. Using HE data, preparation, ingestion into Druid, vis in superset, orchestration in Airflow
Quick demo of modern tech stack for streaming data pipelines
Data streaming project with Apache Druid & Grafana: Real-time data processing, alerts, integration with AWS. It uses a combination of technologies and services, including Confluent-Kafka, Apache Druid, AWS SNS, EC2, Athena, S3, Glue and EventBridge, StepFunctions. Contribute to this powerful solution!
Comparison of batch and real time OLAP databases
Toy data platform for a company that provides web analytics
NoSQL time-series databases
Apache Hive and Apache Druid performance testing for MIND Foods HUB Data Lake
This project is an engineering data pipeline designed to collect real-time data from an e-commerce platform and process it for visualization using various technologies.
Move data from Amazon Redshift to other sources like Amazon S3, Apache Druid and more
Hadoop infrastructure for Druid Batch ingestion using docker-compose
Apache Hive and Apache Druid performance testing for MIND Foods HUB Data Lake
End to End Distributed Deep Learning Engine, works both with Streaming and Batch Data built using Apache Flink
Collection of Docker Images Commonly Used in Data-Intensive Applications
Druid Exporter plays a fundamental role as a receiver of metrics events coming from Druid clusters, adopting the HTTP format as a means of communication. In addition to this capability, its primary function is to export these metrics to Prometheus, thus allowing the creation of meaningful graphs and visualizations.
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