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Tags: ETL
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73–96 of 122 · Most stars

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

  • flow
  • rust
  • rust-lang
  • stream

omniparser: a native Golang ETL streaming parser and transform library for CSV, JSON, XML, EDI, text, etc.

  • transform
  • etl
  • xml
  • json

:lipstick: Durable and asynchronous data imports for consuming data at scale and publishing testable SDKs.

  • porter
  • data-import
  • framework
  • data-transformation

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

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

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

A decision-model-based ontology & knowledge-graph builder — builds governed knowledge graphs from your documents, every fact gated and traceable to its evidence.

  • graphrag
  • information-extraction
  • knowledge-graph
  • llm

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