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The Apache Spark - Apache HBase Connector is a library to support Spark accessing HBase table as external data source or sink.

An extensible Java framework for building event-driven applications that break up XML and non-XML data into chunks for data integration

  • java
  • smooks
  • enterprise-integration
  • etl

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

Download, unpack from a ZIP/TAR/GZ/BZ2 archive, parse, correct, convert units and import Google Spreadsheets, XLS, ODS, XML, CSV, HTML, etc. into your ActiveRecord models. Uses RemoteTable gem internally.

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.

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

Please note that the warc-indexer tool & code is now supported by NetArchiveSuite. The 'warc-indexer' directory and code that exists in this repo is now only for reference. For support and issues of 'warc-indexer', please communicate with NetArchiveSuite.

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.

🇪🇺 Warehouse-native Analytics compatible with Google Analytics and Matomo tracking protocols. Ingest into ClickHouse, BigQuery or CSV/Parquet on S3/GCS/local fs while maintaining complete control over your data.

Go tool + library that publishes GIS vector data to GeoServer via PostGIS — walks a directory of shapefile / GeoJSON / GeoPackage / KML, loads each into PostGIS via GDAL/OGR, then registers the resulting tables as GeoServer feature types. Idempotent. Tested on GeoServer 2.27 LTS + 2.28 stable.