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  1. www.cloudera.com › about › locationsLocations - Cloudera

    Global locations Cloudera has corporate offices in 8 U.S. states and 19 countries around the world.

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      Access machine-readable files publicly disclosing negotiated...

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      Orchestrate and automate complex data pipelines with an...

  2. en.wikipedia.org › wiki › ClouderaCloudera - Wikipedia

    Cloudera, Inc. was formed on June 27, 2008 in Burlingame, California by Christophe Bisciglia, Amr Awadallah, Jeff Hammerbacher, and chief executive Mike Olson. [3] Prior to Cloudera, Bisciglia, Awadallah, and Hammerbacher were engineers at Google, Yahoo!, and Facebook respectively, [3] and Olson was a database executive at Oracle after his previous company Sleepycat was acquired by Oracle in ...

  3. Find company research, competitor information, contact details & financial data for Cloudera, Inc. of Santa Clara, CA. Get the latest business insights from Dun & Bradstreet.

    • 5470 Great America Pkwy, Santa Clara, 95054-3644
    • Chief Executive Officer
  4. www.cloudera.com › aboutAbout - Cloudera

    Access machine-readable files publicly disclosing negotiated prices and related health plan data. Read about ongoing carbon emissions reductions as part of Cloudera's commitment to reach Net Zero emissions. Learn how Cloudera empowers people to transform complex data anywhere into actionable insights faster and easier.

  5. Dec 16, 2016 · Cloudera has 5 employees across 36 locations, $1.04 b in total funding, and $869.26 m in annual revenue in FY 2021. See insights on Cloudera including office locations, competitors, revenue, financials, executives, subsidiaries and more at Craft.

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  6. Cloudera Inc headquarters address, phone number and website information and details on other Cloudera Inc's locations and subsidiaries.

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  8. Orchestrate and automate complex data pipelines with an all-inclusive toolset and a cloud-native service purpose-built for enterprise data engineering teams. Ingest, explore, find, access, analyze, and visualize data at any scale while delivering quick, easy self-service data analytics at the lowest cost. Accelerate innovation for data science ...

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