Concurrent and multi-stage data ingestion and data processing with Elixir
Generic Data Ingestion & Dispersal Library for Hadoop
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 ...
☁️ Cloud-scale telemetry ingestion from any stream of data with Azure Event Hubs
Data ingestion library for Amundsen to build graph and search index
Schemas for Mozilla's data ingestion pipeline and data lake outputs
Data ingestion for Amazon Elasticsearch Service from S3 and Amazon Kinesis, using AWS Lambda: Sample code
Spring XD makes it easy to solve common big data problems such as data ingestion and export, real-time analytics, and batch workflow orchestration
LakeSoul is an end-to-end, realtime and cloud native Lakehouse framework with fast data ingestion, concurrent update and incremental data analytics on cloud storages for both BI and AI applications.
cachegrand - a modern data ingestion, processing and serving platform built for today's hardware
Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable manner
A simple demo for data ingestion to Apache Kafka using Netty.io
Sentry event forwarding and ingestion service.
A data ingestion adaptor to plug data from source to sink with a configuration based pipeline
MusicBrainz label feed ingestion tools
Apache gobblin from kafka to hdfs ingestion sample
Plugin for Fluentd that sends logs to the Google Cloud Platform's log ingestion API.
翻译 - Fluentd插件，用于将日志发送到Google Cloud Platform的日志提取API。
Parseable is a log analytics system platform for modern, cloud native workloads