Apache Liminal From A to Z

Apache Liminal (Incubating) is an end-to-end platform for data engineers & scientists, allowing them to build, train and deploy machine learning models in a robust and agile way. The platform provides the abstractions and declarative capabilities for data extraction & feature engineering followed by model training and serving; using standard tools and libraries (e.g. Airflow, K8S, Spark, scikit-learn, etc.).

Apache Liminal’s goal is to operationalize the machine learning process, allowing data scientists to quickly transition from a successful experiment to an automated pipeline of model training, validation, deployment, and inference in production, freeing them from engineering and non-functional tasks, and allowing them to focus on machine learning code and artifacts.

In this meetup, we will introduce Liminal from the basics to advanced features as well as demonstrate production use cases from Natural Intelligence.

Speakers:

Assaf Pinhasi: Independent Consultant: Technology leader, highly experienced in building large-scale systems and teams, specializing in Big Data and Machine Learning.

Aviem Zur- Data Architect @ Natural Intelligence | PPMC Member, Apache Liminal | PMC Member, Apache Beam. Specializing in data frameworks and platforms as well as open-source software. Passionate about quality engineering, open-source, and Magic: The Gathering.

Roei Kahny: Data Science Team Leader, Roei is an experienced data scientist, specializes in deep learning. He served in several positions as an analyst and data science in Natural intelligence.

Gathering from 18:00
The event begins - 18:30