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Ingenuity byla povýšena, létat může do konce srpna a přispěje celé misi
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Hivemind s associe à Databricks pour générer de la valeur commerciale grâce à l analyse des données unifiée
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Date started current role: July 2013
Location: Palo Alto, California
Matei Zaharia is an Assistant Professor of Computer Science at Stanford University and Chief Technologist at Databricks. He started the Apache Spark project during his PhD at UC Berkeley in 2009, and has worked broadly in datacenter systems, co-starting the Apache Mesos project and contributing as a committer on Apache Hadoop. Today, Zaharia tech-leads the MLflow development effort at Databricks in addition to other aspects of the platform. Zaharia’s research work was recognised through the 2014 ACM Doctoral Dissertation Award for the best PhD dissertation in computer science, an NSF CAREER Award, and the US Presidential Early Career Award for Scientists and Engineers (PECASE).
Senior Data Engineer at Willis Towers Watson / Insurance Journal Jobs
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A unified data Lakehouse that unlocks the business value of your data
A unified data Lakehouse that unlocks the business value of your data
DataBricks Video
Most enterprises are struggling with data thanks to expensive and inefficient big data approaches like Hadoop, according to Databricks, as the consumer experience becomes more digital than ever.
Data platforms are surging in popularity as they allow businesses to unify their AI, analytics, and data workloads under one comprehensive wheelhouse.
But how can you choose a data platform that really allows you to master data at scale?
Explore this resource to learn how DataBricksâ Lakehouse architecture reliably and quickly unifies workloads of all kinds and how the curated Delta Lake empowers machine learning and AI workloads at scale.