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Tags: ETL
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25–48 of 90 · Most stars

Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.

Copy a Postgres database to a target Postgres server (pg_dump | pg_restore on steroids)

High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.

  • flow
  • rust
  • rust-lang
  • stream

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