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Defining the technology of today and tomorrow.

Philosophy

We strive to create an environment conducive to many different types of research across many different time scales and levels of risk.
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Philosophy

People

Our researchers drive advancements in computer science through both fundamental and applied research.
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People
Research areas

Explore all research areas

Explore all research areas

Foundational ML & Algorithms

Algorithms & Theory

Data Management

Data Mining & Modeling

Information Retrieval & the Web

Machine Intelligence

Machine Perception

Machine Translation

Natural Language Processing

Speech Processing

Algorithms & Theory

Data Management

Data Mining & Modeling

Information Retrieval & the Web

Machine Intelligence

Machine Perception

Machine Translation

Natural Language Processing

Speech Processing

Computing Systems & Quantum AI

Distributed Systems & Parallel Computing

Hardware & Architecture

Mobile Systems

Networking

Quantum Computing

Robotics

Security, Privacy, & Abuse Prevention

Software Engineering

Software Systems

Distributed Systems & Parallel Computing

Hardware & Architecture

Mobile Systems

Networking

Quantum Computing

Robotics

Security, Privacy, & Abuse Prevention

Software Engineering

Software Systems

Science, AI & Society

Climate & Sustainability

Economics & Electronic Commerce

Education Innovation

General Science

Health & Bioscience

Human-Computer Interaction and Visualization

Responsible AI

Climate & Sustainability

Economics & Electronic Commerce

Education Innovation

General Science

Health & Bioscience

Human-Computer Interaction and Visualization

Responsible AI
Projects

We regularly open-source projects with the broader research community and apply our developments to Google products.
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Projects

Publications

Publishing our work allows us to share ideas and work collaboratively to advance the field of computer science.
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Publications

Resources

We make products, tools, and datasets available to everyone with the goal of building a more collaborative ecosystem.
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Resources
Shaping the future, together.
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Student programs

Supporting the next generation of researchers through a wide range of programming.
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Student programs

Faculty programs

Participating in the academic research community through meaningful engagement with university faculty.
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Faculty programs

Conferences & events

Connecting with the broader research community through events is essential for creating progress in every aspect of our work.
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Conferences & events

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Careers
Blog

Sam McVeety

Sam McVeety

Research Areas

Distributed Systems and Parallel Computing

Authored Publications

Google

BigLake: BigQuery’s Evolution toward a Multi-Cloud Lakehouse

Justin Levandoski

Garrett Casto

Mingge Deng

Rushabh Desai

Pavan Edara

Thibaud Hottelier

Amir Hormati

Anoop Johnson

Jeff Johnson

Dawid Kurzyniec

Sam McVeety

Prem Ramanathan

Gaurav Saxena

Vidya Shanmugam

Yuri Volobuev

SIGMOD (2024)

The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing

Tyler Akidau

Robert Bradshaw

Craig Chambers

Slava Chernyak

Rafael J. Fernández-Moctezuma

Reuven Lax

Sam McVeety

Daniel Mills

Frances Perry

Eric Schmidt

Sam Whittle

Proceedings of the VLDB Endowment, 8 (2015), pp. 1792-1803

MillWheel: Fault-Tolerant Stream Processing at Internet Scale

Tyler Akidau

Alex Balikov

Kaya Bekiroglu

Slava Chernyak

Josh Haberman

Reuven Lax

Sam McVeety

Daniel Mills

Paul Nordstrom

Sam Whittle

Very Large Data Bases (2013), pp. 734-746

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