DATA MECHANICS

data-mechanics-logo

Data Mechanics is a managed Spark platform for data scientists and engineers. The platform tunes the infrastructure parameters (e.g. CPU, Memory) and Spark configurations (e.g. parallelism, shuffle, I/O) automatically and continuously for every pipelines to make them stable and performant, and provide an easy-to-use serverless experience to its users.

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DATA MECHANICS

Social Links:

Industry:
Analytics Big Data Computer Information Technology Software

Founded:
2019-01-01

Address:
San Francisco, California, United States

Country:
United States

Website Url:
http://www.datamechanics.co

Total Employee:
1+

Status:
Active

Email Addresses:
[email protected]

Total Funding:
150 K USD

Technology used in webpage:
Viewport Meta IPhone / Mobile Compatible SPF SSL By Default Google Analytics LetsEncrypt Apple Mobile Web Clips Icon Google Tag Manager Content Delivery Network Google Universal Analytics


Current Employees Featured

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Stephan Jean-Yves
Stephan Jean-Yves Co-Founder & CEO @ Data Mechanics
Co-Founder & CEO

julien-dumazert_image

Julien Dumazert
Julien Dumazert Co-founder and CTO @ Data Mechanics
Co-founder and CTO
2019-02-01

Founder


julien-dumazert_image

Julien Dumazert

stephan-jean-yves_image

Stephan Jean-Yves

Investors List

agoranov_image

AGORANOV

AGORANOV investment in Non Equity Assistance - Data Mechanics

y-combinator_image

Y Combinator

Y Combinator investment in Seed Round - Data Mechanics

guillaume-lestrade_image

Guillaume Lestrade

Guillaume Lestrade investment in Seed Round - Data Mechanics

eduardo-ronzano_image

Eduardo Ronzano

Eduardo Ronzano investment in Seed Round - Data Mechanics

Official Site Inspections

http://www.datamechanics.co

  • Host name: 104.21.54.74
  • IP address: 104.21.54.74
  • Location: United States
  • Latitude: 37.751
  • Longitude: -97.822
  • Timezone: America/Chicago

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Data Mechanics - GitHub

The simplest way to run Apache Spark. Data Mechanics has 18 repositories available. Follow their code on GitHub.See details»

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NetApp Acquires Data Mechanics to Accelerate Spot Roadmap โ€ฆ

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JY @ DataMechanics - DEV Community

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Spark on Kubernetes Made Easy: How Data Mechanics Improves โ€ฆ

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Common Spark configurations | Data Mechanics documentation

Dynamic Allocation works both for batch and for streaming queries. You can read more about it in the official Spark documentation.. In general, dynamic allocation is a great way to save on your โ€ฆSee details»

Submitting an app | Data Mechanics documentation

Note that some additional configurations are automatically set by Data Mechanics. In particular, the appName is a unique identifier of this Spark application on your cluster. Here it is has been โ€ฆSee details»

NetApp Acquires Data Mechanics to Accelerate Spot Roadmap โ€ฆ

SUNNYVALE, Calif.โ€” June 22, 2021 โ€” NetApp ® (NASDAQ: NTAP), a global, cloud-led, data-centric software company, today announced that it has acquired Data Mechanics, a managed โ€ฆSee details»

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