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#

incremental-processing

Here are 12 public repositories matching this topic...

Upserts, Deletes And Incremental Processing on Big Data.

  • Updated Jul 8, 2026
  • Java

Incremental processing and maintaining data freshness with CocoIndex and LanceDB

  • Updated Jan 14, 2026
  • Python

An AI Email Intelligence Platform Real-time email intelligence with multi-provider AI fallback, semantic search, OAuth integration. Handles incremental sync and streaming with 70% cold start reduction.

  • Updated Jun 16, 2026
  • TypeScript

A modern banking data pipeline built with Dagster and DBT!

  • Updated Jan 31, 2026
  • Python

Monitor AI agent memory, skills, and behavior in a live terminal HUD for Hermes.

  • Updated Jul 8, 2026
  • Python

Reusable data matching system with incremental processing for efficient reuse of historical results.

  • Updated May 6, 2026
  • Python

A production-grade cryptocurrency data pipeline built on GCP that ingests real-time market data from the CoinGecko API, implements Medallion architecture (Raw → Staging → Curated), and supports idempotent backfill and metadata-driven incremental processing for reliable, scalable analytics.

  • Updated Mar 25, 2026
  • Python

End-to-end data engineering project built in Snowflake using a Medallion Architecture (Bronze, Silver, Gold). The project demonstrates ELT pipeline design, data ingestion from AWS S3, data cleaning and transformation, incremental processing, and dimensional modelling using a star schema.

  • Updated May 9, 2026

End-to-end data engineering pipeline on Databricks with Delta Lake, incremental watermarking, and Dockerized Airflow orchestration (Postgres-backed, SLA-enabled).

  • Updated Feb 21, 2026
  • Jupyter Notebook

Apache Hudi is a data lake platform that provides incremental data processing primitives including upserts and incremental queries. It manages storage of large analytical datasets on distributed file systems with ACID transactions, timeline-based versioning, and integrations for Spark, Flink, and Hive.

  • Updated Jun 27, 2026

End-to-end data pipeline that ingests job market data from the Adzuna API and processes it using a Medallion Architecture (Bronze→Silver→Gold). Includes data quality validation, incremental loading into DuckDB, and Airflow orchestration. Generates analytics-ready datasets for role demand, salary trends, and skill demand across multiple countries.

  • Updated Mar 1, 2026
  • Python

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