1.DataExpert-io / data-engineer-handbook
This is a repo with links to everything you'd ever want to learn about data engineering
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18 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
This is a repo with links to everything you'd ever want to learn about data engineering
RustFS is an open-source, S3-compatible high-performance object storage system supporting migration and coexistence with other S3-compatible platforms such as MinIO and Ceph.
JuiceFS is a distributed POSIX file system built on top of Redis and S3.
A curated list of awesome big data frameworks, ressources and other awesomeness.
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
Upserts, Deletes And Incremental Processing on Big Data.
Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.
专注大数据学习面试,大数据成神之路开启。Flink/Spark/Hadoop/Hbase/Hive...
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
大数据入门指南 :star:
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Apache Avro is a data serialization system.
Distributed Big Data Orchestration Service
Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️
High-performance, time-indexed object storage for robotics and industrial IoT
A robust web archive analytics toolkit
Data management for the sensor-edge-cloud continuum
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.