Session: Enabling Walmart's data lakehouse with Apache Hudi

Ankur Ranjan, Data Engineer III @ Walmart

Ayush Bijawat, Senior Data Engineer @ Walmart

Ankur and Ayush are diving into the strategic shift from data lake to lakehouse architecture at Walmart, with a focus on the importance played by the open table format Apache Hudi. Attendees of this talk will gain a comprehensive understanding of the Hudi architecture, including insights into its underlying file structure, file groups, and the critical timeline feature.

Their session explores the crucial choice between Copy-on-Write (CoW) and Merge-on-Read (MoR) tables, highlighting why CoW tables were chosen for specific use cases. Moreover, the discussion will showcase the various optimization benefits unlocked by Apache Hudi, such as file resizing, enhanced UPSERT and DELETE support, schema evaluation, and partial updates.

The session also offers a practical perspective on enabling Apache Hudi within the Google BigQuery ecosystem, making it a must-attend event for those seeking to leverage cutting-edge data management solutions.

Interested in diving deeper into what Walmart is accomplishing with its data lakehouse?
Where & when?

Open Source Data Summit 2024 was held on October 2nd, 2024.

What is the cost of access to the live virtual sessions?

OSDS is always free and open for all to attend.

What is Open Source Data Summit?

OSDS is a peer-to-peer gathering of data industry professionals, experts, and enthusiasts to explore the dynamic landscape of open source data tools and storage.

The central theme of OSDS revolves around the advantages of open source data products and their pivotal role in modern data ecosystems.

OSDS is the annual peer hub for knowledge exchange that fosters a deeper understanding of open source options and their role in shaping the data-driven future.

Who attends OSDS?

OSDS is attended by data engineers, data architects, developers, DevOps practitioners and managers, and data leadership.

Anyone who is looking for enriched perspectives on open source data tools and practical insights to navigate the evolving data landscape should attend this event.

On October 2nd, 2024 we convened for discussions about:
  • Benefits of open source data tools
  • Cost/performance trade-offs
  • Building data storage solutions
  • Challenges surrounding open source data tool integration
  • Solutions for the cost of storing, accessing, and managing data
  • Data streams and ingestion
  • Hub-and-spoke data integration models
  • Choosing the right engine for your workload
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