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Adi Polak

A visionary in data and AI, empowering teams to build scalable solutions, Adi is passionate about open-source tools, innovation, and simplifying complex systems.

Director, Advocacy and Developer Experience Engineering at Confluent
Talks about

Adi talks about agentic AI, data engineering, CI/CD, distributed ML, Apache Spark, Kafka, lakeFS, and fostering collaboration between data and ML practitioners.

AI advisor
AI strategy
data engineering
data leadership
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Highlights

See the "what". Explore their accomplishments, groundbreaking projects, and industry recognition. Witness how they're shaping the future of data.

CI/CD for Data Lakes

This course covers data CI/CD principles, modern object stores, and Git-like workflows with Adi Polak. Master lakeFS and architect data systems to tackle future challenges effectively.

High Performance Spark, 2nd Edition

Co-authored by Adi Polak, this book is your practical guide to Spark.

Scaling Machine Learning with Spark

This book explores how to build scalable, end-to-end ML solutions with Apache Spark & covers Spark MLlib, MLflow, TensorFlow, and PyTorch for distributed ML workflows.

Notable Contributions

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Insights

Unlock the "why". Dive into interviews, blogs, and videos where thought leaders unpack their insights. Go beyond the resume, connect with the mind behind the expertise.

Data Engineering
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Blog
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7 min

Agentic AI: The Top Challenges and How to Overcome Them

This article talks about Agentic AI enables multi-step processes, enhancing efficiency but posing challenges in privacy, reliability, and investments. Prepare for data quality and security hurdles upfront.
Data Engineering
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Blog
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4 min

3 AI Trends Developers Need to Know in 2025

This article delves into how AI trends shape engineering: tackle hallucinations with RAG, empower agentic AI with real-time pipelines, and enable dynamic data access for better AI solutions.
Data Engineering
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Video
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47 min

How Apache Iceberg and Flink Can Ease Developer Pain

In this episode, Adi Polak discusses how Apache Iceberg and Flink streamline data infrastructure, resolving schema evolution challenges, optimizing analytics, and enabling real-time processing.
Data Engineering
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Blog
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3 min

Data-Driven Dynamics: What's new?

This article focuses on how organizations face challenges in managing massive data pipelines, silos, and evolving architectures, where solutions semantic layers, knowledge graphs, and AI copilots bridge the gaps.
Data Engineering
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Video
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32 min

Open Source Tools For Data Reliability Engineering

How can you simplify the management of a data lake by enabling GIT-like operations? Experimenting, reproducing data, and guaranteeing data quality can be simple, with open source tooling. In this talk, Adi Polak from Treeverse covers some great tools and methodologies for doing just that.
Data Engineering
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Podcast
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35 min

Data Access Control with lakeFS's

Explore RBAC benefits, challenges, and best practices with real-world examples. Learn about lakeFS's Git-like interface for secure, efficient data lake management.
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Data Feast Weekly

Get weekly insights on modern data delivered to your inbox, straight from our hand-picked curations!