Comparison of batch and real time OLAP databases
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Updated
Aug 30, 2024
Comparison of batch and real time OLAP databases
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.
Quick demo of modern tech stack for streaming data pipelines
Powerful & Easy way for big data discovery
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.
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!
Collection of Docker Images Commonly Used in Data-Intensive Applications
🚀 Learn Apache Druid: a high performance real-time analytics database.
Apache Hive and Apache Druid performance testing for MIND Foods HUB Data Lake
Apache Hive and Apache Druid performance testing for MIND Foods HUB Data Lake
Hadoop infrastructure for Druid Batch ingestion using docker-compose
A collection of jar files that make up a DataGrip driver able to query Apache Druid
Toy data platform for a company that provides web analytics
Full stack data engineering tools and infrastructure set-up
Terraform module to deploy Apache Druid in Kubernetes
End to End Distributed Deep Learning Engine, works both with Streaming and Batch Data built using Apache Flink
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