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  2. Google Cloud Dataflow - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Dataflow

    Google Cloud Dataflow is a fully managed service for executing Apache Beam pipelines within the Google Cloud Platform ecosystem. Dataflow provides a fully managed service for executing Apache Beam pipelines, offering features like autoscaling, dynamic work rebalancing, and a managed execution environment.

  3. Apache Beam - Wikipedia

    en.wikipedia.org/wiki/Apache_Beam

    Apache Beam is an open source unified programming model to define and execute data processing pipelines, including ETL, batch and stream (continuous) processing. [2] Beam Pipelines are defined using one of the provided SDKs and executed in one of the Beam’s supported runners (distributed processing back-ends) including Apache Flink, Apache Samza, Apache Spark, and Google Cloud Dataflow.

  4. Google Cloud Platform - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Platform

    Google Cloud Platform is a part [8] of Google Cloud, which includes the Google Cloud Platform public cloud infrastructure, as well as Google Workspace (G Suite), enterprise versions of Android and ChromeOS, and application programming interfaces (APIs) for machine learning and enterprise mapping services.

  5. Borg (cluster manager) - Wikipedia

    en.wikipedia.org/wiki/Borg_(cluster_manager)

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Help; Learn to edit; Community portal; Recent changes; Upload file

  6. Google App Engine - Wikipedia

    en.wikipedia.org/wiki/Google_App_Engine

    [7] [8] SDK version 1.2.2 added support for bulk downloads of data using Python. [9] App Engine's integrated Google Cloud Datastore database has a SQL-like syntax called "GQL" (Google Query Language). GQL does not support the join statement. [10] Instead, one-to-many and many-to-many relationships can be accomplished using ReferenceProperty(). [11]

  7. Bigtable - Wikipedia

    en.wikipedia.org/wiki/Bigtable

    Bigtable development began in 2004. [1] It is now used by a number of Google applications, such as Google Analytics, [2] web indexing, [3] MapReduce, which is often used for generating and modifying data stored in Bigtable, [4] Google Maps, [5] Google Books search, "My Search History", Google Earth, Blogger.com, Google Code hosting, YouTube, [6] and Gmail. [7]

  8. Google Compute Engine - Wikipedia

    en.wikipedia.org/wiki/Google_Compute_Engine

    Google Compute Engine (GCE) is the infrastructure as a service (IaaS) component of Google Cloud Platform which is built on the global infrastructure that runs Google's search engine, Gmail, YouTube and other services.

  9. Looker (company) - Wikipedia

    en.wikipedia.org/wiki/Looker_(company)

    On August 13, 2013, Looker announced a Series A round of funding from Redpoint Ventures, First Round Capital, and PivotNorth Capital, raising more than $18M. [10] Prior to the Series A round, Looker raised $2M in a seed round from First Round Capital and PivotNorth Capital. [10]