Data Platforms Reimagined

Examine how modern data platforms are evolving to support real-time, AI-driven, and decentralized use cases, redefining how data flows through organizations.

From this track

Session

Breaking down the walls to Python & Big Data + AI Performance with Transpilation and LLMs

Many of us have a love hate relationship with Apache Spark, especially when it comes to PySpark. Especially in Python, the UDF performance can be a dumpster fire.

Session

Building a Data Platform with AI

Data platform sits at the intersection of infrastructure, governance, operations, and user experience.

Speaker image - Mouli Mukherjee

Mouli Mukherjee

Engineering Manager @OpenAI

Date

Tuesday Nov 17 / 10:35AM PST

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Track Host

Adi Polak

Director, Advocacy and Developer Experience Engineering @Confluent, Author of "Scaling Machine Learning with Spark" and "High Performance Spark 2nd Edition"

Adi is an experienced Software Engineer and people manager. She has worked with data and machine learning for operations and analytics for over a decade. As a data practitioner, she developed algorithms to solve real-world problems using machine learning techniques while leveraging expertise in distributed large-scale systems to build machine learning and data streaming pipelines. As a manager, Adi builds high-performance teams focused on trust, excellence, and ownership.

Adi has taught thousands of students how to scale machine learning systems and is the author of the successful book Scaling Machine Learning with Spark and High Performance Spark 2nd Edition.

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