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In this article, we explore how Every Cure combines Kedro and Feast to build a reusable feature platform for biomedical machine learning, enabling the same engineered features to power both batch analytics and real-time applications

Building a feature store with Kedro and Feast

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In this article, we explore how OptimusKG uses Kedro to build a reproducible biomedical knowledge graph for AI agents, showing why data infrastructure is a core component of modern agentic systems

Building biomedical knowledge for agentic systems

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We're developing a new Kedro Server API and Service Session to enable Kedro pipelines to run as reusable and callable services. We’re showing you all what we’ve done so far, and we'll continue to iterate depending on feedback.

Kedro as a Service

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In this article, we unpack the modern data and ML tooling landscape and describe where Kedro fits within this ecosystem.

Kedro in the modern data and AI tooling landscape

Kedro 1.0

We have launched Kedro 1.0, marking a significant milestone in its evolution.

Announcing Kedro 1.0

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This post shows how to use Kedro to build and organize GenAI applications with a real-world example.


Building a GenAI-powered chatbot using Kedro and LangChain

In this guest blog post, Toni Almagro, Senior Staff Data Scientist at TomTom, shares a transformative journey from using Databricks notebooks to the Kedro framework.

Building Robust Data Science Pipelines at TomTom with Kedro

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Kedro-Viz will phase out its Experiment Tracking feature in the upcoming release of Kedro-Viz 11.0, with complete removal in version 12.0 due to low user adoption and the availability of robust alternatives like MLflow. This blog post includes detailed guidance on migrating to kedro-mlflow, a plugin that seamlessly integrates Kedro with MLflow.

Deprecating Experiment Tracking in Kedro Viz

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This blog post highlights ten of the most notable enhancements and improvements to the Kedro ecosystem in the recent releases.

Top 10 features added to the Kedro ecosystem in 2024

In the pipeline

From the latest news to upcoming events and interesting topics, “In the Pipeline” is overflowing with updates for the Kedro community.

In the pipeline: October 2024

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We're launching a Kedro extension for VS Code that offers enhanced code navigation and autocompletion.


Introducing a Kedro extension for VS Code

In the pipeline: July 2024

Kedro and Ibis streamline the management of ML pipelines and SQL queries within a Python project, leveraging Google BigQuery for efficient execution and storage.

Streamlining SQL Data Processing in Kedro ML Pipelines

In the pipeline: May 2024

Creating data platforms is a challenging task. A guest author explains how Kedro reduces the learning curve and enables data science teams.

A practical guide to team topologies for ML platform teams

We have added support to automate publishing to Github pages through the publish-kedro-viz Github Action. Learn how to configure and use the feature!

Share a Kedro-Viz with Github pages

In the pipeline: March 2024

In the pipeline: February 2024

From production-ready to production. Bring the flexibility and familiarity of Python, and the scale and performance of modern SQL, to Kedro pipelines.

Building scalable data pipelines with Kedro and Ibis

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We've made changes to Kedro in the new 0.19 release to tackle one of the most commonly perceived pain points. Find out more!

Your new Kedro project. Your way.

Check out the official video course to teach you the skills you need to create  data and machine learning pipelines for future-friendly, platform-agnostic data science code 

Learn Kedro from a new video course

This blog post gives details of the enhancements and improvements to Kedro in the recent 0.19 release.

Exploring our new release: Kedro 0.19 

Find out more about how Kedro's award-winning documentation is created using a docs-as-code workflow.

How the Kedro team built award-winning documentation

How to set up and use "publish and share" to host a Kedro-Viz project on Amazon S3.

How to share a Kedro-Viz pipeline visualisation

From the latest news to upcoming events and interesting topics, “In the Pipeline” is overflowing with interesting updates for the Kedro community.

In the pipeline: November 2023

This article describes the “code smells” typical to a data science project developed in a Jupyter notebook. It explains how some of Kedro's features can improve the code within your notebook.

Supercharge your data science notebook with Kedro

In the pipeline: October 2023

"In the Pipeline" is overflowing with the September's Kedro news.

In the pipeline: September 2023

In this blog post, Diego Lira explains how to use Databricks Connect with Kedro for a development experience that works completely inside an IDE. 

How to integrate Kedro and Databricks Connect

"In the Pipeline" is overflowing with the latest Kedro news, upcoming events, and interesting topics.

In the Pipeline: July 2023

This post illustrates the extensibility of Kedro with a new dataset for realtime data processing using Spark Structured Streaming. 

A new Kedro dataset for Spark Structured Streaming

This post explains how to use a newly-released dataset for managed Delta tables in Databricks within your Kedro project.

How to use Databricks managed Delta tables in a Kedro project

We explain how to write an efficient custom Kedro pipeline runner that continues executing a set of nodes after encountering non-catastrophic failure points.

Get up to speed: how to build a custom Kedro runner

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As we commemorate the 4th anniversary of our open-source journey, we look back on some key milestones with gratitude to the Kedroid community who have supported us. 

Kedro celebrates 4 years as an open-source project

We are thrilled to announce that the Kedro brand has had a makeover. This article shares the inspiration that went into the rebrand and explores the exciting changes that lie ahead.


Unveiling Kedro's striking new branding

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We've launched collaborative experiment tracking in Kedro-Viz 6.2.0 to enable a team of users to log and compare each others' experiments. This tutorial explains how to configure and use the feature.

Collaborative experiment tracking in Kedro-Viz

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On World Product Day 2023, Yetunde Dada explains how to build your technical skills as a product owner to enhance your effectiveness and success in the role.


How to become a more technical product owner

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Polars is an open-source library that provides fast dataframes for Python. This blog post explains how can you use Polars instead of pandas in Kedro for your data catalog and data manipulation.

A Polars exploration into Kedro

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Amazon EMR works with open-source big data frameworks like Apache Spark to help you tackle vast amounts of data. This post explains how to combine Amazon EMR, Kedro, and Apache Spark. 

Seven steps to deploy Kedro pipelines on Amazon EMR

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In the Pipeline: May 2023

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In this blog post, we introduce a set of principles that summarise our development philosophy and steer our decision-making. 

Seven development principles for opinionated teams

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We announce a new member of the Kedro Technical Steering Committee as we move towards Kedro's 4th open source anniversary.

News from the Kedro Technical Steering Committee 

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In recent research, we learned that Databricks is the dominant machine-learning platform used by Kedro users. We investigated aspects of our users' data science workflows to prioritise seamless Kedro usage, and we are collaborating with Databricks on our findings.

How do data scientists combine Kedro and Databricks?

This post explains how Kedro can guide an analytics team to follow best practices and avoid technical debt.

Introducing your new team lead…Kedro

In this post, we describe recent releases to Kedro, Kedro-Viz and some new Kedro datasets. We also show off our new blog design.

A new home for the Kedro blog and some recent releases

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This article focuses on experiment tracking, explaining why it is valuable to data science projects and describing the features recently released for experiment tracking in Kedro projects. 

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What's New

Coffee Chats

GraphRAG with Kedro

Kedro in VS Code: From Pipeline View to One-Click Node Debugging

Should AI Write Your Docs? A Team Discussion

Spec-Driven Development for Data Practitioners

Now serving: Exposing Kedro Pipelines over HTTP

Ship GenAI with Confidence: Evaluation Pipelines with Kedro and Langfuse