Matei Zaharia
6 SlideShares 48 Followers 1 Folgen
Personal Information
Unternehmen/Arbeitsplatz
San Francisco Bay Area United States
Beruf
Chief Technologist, Databricks
Branche
Technology / Software / Internet
Webseite
cs.stanford.edu/~matei/
Info
I am an Assistant Professor of Computer Science at Stanford and cofounder and Chief Technologist at Databricks. Working on systems for large-scale data processing, machine learning and cloud computing, including Apache Spark, Delta Lake and MLflow.
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Tags
databricks mlflow ai big data scalability cloud computing delta lake data lake data warehousing lakehouse machine learning mlops cloud deltalake apachespark research dawn sysml
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Präsentationen

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What are the Unique Challenges and Opportunities in Systems for ML?

Vor 4 Jahren • 562 Aufrufe

Lessons from Large-Scale Cloud Software at Databricks

Vor 4 Jahren • 6357 Aufrufe

MLflow: A Platform for Production Machine Learning

Vor 4 Jahren • 956 Aufrufe

Scaling up Machine Learning Development

Vor 4 Jahren • 459 Aufrufe

Making Data Timelier and More Reliable with Lakehouse Technology

Vor 3 Jahren • 1614 Aufrufe

Scaling Databricks to Run Data and ML Workloads on Millions of VMs

Vor 3 Jahren • 1548 Aufrufe
Personal Information
Unternehmen/Arbeitsplatz
San Francisco Bay Area United States
Beruf
Chief Technologist, Databricks
Branche
Technology / Software / Internet
Webseite
cs.stanford.edu/~matei/
Info
I am an Assistant Professor of Computer Science at Stanford and cofounder and Chief Technologist at Databricks. Working on systems for large-scale data processing, machine learning and cloud computing, including Apache Spark, Delta Lake and MLflow.
Tags
databricks mlflow ai big data scalability cloud computing delta lake data lake data warehousing lakehouse machine learning mlops cloud deltalake apachespark research dawn sysml
Mehr anzeigen