167 results for “topic:kestra”
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
Helm charts for Kestra, including a starter and operator
A template for creating Kestra plugins
Plugin to use Terraform with Kestra
Plugin to interact with Amazon Web Services (AWS)
No description provided.
Blueprints are a curated, organized, and searchable catalog of ready-to-use examples designed to help you kickstart your workflow in Kestra.
Plugin to orchestrate custom scripts in any language including Python, Node.js, R, Shell, PowerShell, and more.
ELT for AEMET weather data.
Kestra UI npm package
Execute tasks and orchestrate workflows across Google Cloud Platform services
create, manage, and notify your community about your Github workflows with a few clicks
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Kestra plugin to orchestrate SQLMesh projects
Built a complete end-to-end data platform to ingest, process, and analyze complex, multi-source public datasets for business intelligence.
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AI-powered cloud architect agent that analyzes codebases and generates optimized infrastructure as code.
Plugin to sync your code from Git, push your workflow code and namespace files from Kestra to Git, or clone custom Git repositories at runtime
Plugin to interact with file systems and HTTP APIs
A data engineering project with dbt, Docker, Kestra, Terraform, GCP and Looker.
Plugin to interact with Azure Cloud from Kestra workflows
The Data Engineering Zoomcamp covers essential skills in containerization, workflow orchestration, data warehousing, analytics engineering, batch, and streaming processing. It includes tools like Docker, Terraform, BigQuery, dbt, Spark, Kafka, Kestra, Postgres, Google Data Studio, and Metabase.
About this is my entire homelab documentation files
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Analyzing social media trends using a X dataset. Visualizes top frequent words, sentiment, and user engagement (likes, retweets) using a custom MERN application powered by a Kestra pipeline for rapid data preparation and processing.
end to end data pipeline
Tasks that submit Apache Spark jobs and run Spark CLI commands.
No description provided.