OLake by Datazip invites you to their event
About this event
Join Akshat Mathur, Senior Software Engineer at Cloudera and Apache Hive contributor, as he delivers a comprehensive technical exploration of lakehouse architecture. This session will bridge theoretical concepts with practical implementation strategies based on Akshat's extensive experience with Apache Iceberg and data platform optimization.
In this technical deep dive, Akshat will:
The session includes technical insights from Akshat's experience building Cloudera's Open Data Lakehouse stack and his practical work with Apache Iceberg implementations.
This webinar delivers actionable engineering strategies for data professionals looking to implement production-grade lakehouse architectures with a focus on real-world performance and reliability.
Hosted by
As a senior software engineer at Cloudera, Akshat Mathur works on developing and maintaining scalable, reliable, and secure data solutions using Apache Iceberg, Hive, Tez, Trino, and other big data technologies. He collaborates with cross-functional teams to deliver high-quality products and services that meet the needs and expectations of clients and users. He also contributes to the open source community actively as an Apache contributor, where he helps to improve the performance, functionality, and usability of the projects.
Harsha is a user-first GTM specialist at Datazip, transforming early-stage startups from zero to one. With a knack for technical market strategy and a startup enthusiast's mindset, she bridges the gap between innovative solutions and meaningful market adoption.
OLake is an open-source data ingestion tool available on GitHub, developed by Datazip, Inc. Its primary function is to replicate data from transactional databases and streaming platforms (like PostgreSQL, MySQL, MongoDB, Oracle, and Kafka) into open data lakehouse formats, like Apache Iceberg.
