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Tags: ETL
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49–72 of 76 · Most stars

Neo4j Connector for Apache Spark, which provides bi-directional read/write access to Neo4j from Spark, using the Spark DataSource APIs

  • spark
  • neo4j-connector
  • cypher
  • neo4j-driver

Powerful CSV & Excel Import experience for SaaS 🚀 Save months building data import experience from scratch 💰

  • csv-import
  • data-import
  • data-mapping
  • data-review

Universal BLE Smart Scale bridge. Captures body composition from Renpho, Xiaomi & 20+ others, syncs to Garmin Connect, Strava, MQTT (Home Assistant), InfluxDB, Webhooks, Ntfy & local files (CSV/JSONL). Headless CLI for Raspberry Pi, Linux, macOS & Windows.

A fast to develop, fast to run, Go based toolkit for ETL and feature extraction on Hadoop.

An Apache Spark framework for easy data processing, extraction as well as derivation for web archives and archival collections, developed at Internet Archive.

  • archivespark
  • spark-framework
  • spark
  • web-archiving

This is a library that provides generic functionalities for the implementation of imports. In addition to maximum performance and optimized memory consumption, Pacemaker can also be used to implement imports in distributed scenarios that place the highest demands on speed and stability.

Hadoop Data Integration with various databases, ftp servers, salesforce. Incremental update, dedup, append, merge your data on Hadoop.

EtlKit is a lightweight ETL (extract · transform · load) library and data integration toolbox for .NET. Build your own data pipelines programmatically in C# — readable, testable, and tracked in source control like the rest of your code.

  • dotnet
  • dotnet-core
  • etl
  • etl-framework