Apache Beam is a unified programming model for Batch and Streaming data processing.
- python
- java
- big-data
- beam
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Apache Beam is a unified programming model for Batch and Streaming data processing.
Apache Linkis builds a computation middleware layer to facilitate connection, governance and orchestration between the upper applications and the underlying data engines.
DataSphereStudio is a one stop data application development& management portal, covering scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, visualization, and task scheduling.
A distributed data integration framework that simplifies common aspects of big data integration such as data ingestion, replication, organization and lifecycle management for both streaming and batch data ecosystems.
EventMesh is a new generation serverless event middleware for building distributed event-driven applications.
🦎 A lightweight, streaming-native, multi-protocol gateway for AI, APIs, and real-time data. Route LLM requests across providers, govern MCP tools, and connect Kafka, MQTT, and HTTP through one high-performance engine with shared security and observability.
Hopsworks - Data-Intensive AI platform with a Feature Store
The MongoDB Spark Connector
Microservices library - scalecube-services is a high throughput, low latency reactive microservices library built to scale. It features: API-Gateways, service-discovery, service-load-balancing, the architecture supports plug-and-play service communication modules and features. built to provide performance and low-latency real-time stream-processing
Event Sourcing and CQRS in practice.
Sample ES/CQRS application
Implementation of Partitioning Around Medoids (PAM) in H2O-3