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  2. Google Cloud Dataflow - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Dataflow

    Google Cloud Dataflow was announced in June, 2014 [3] and released to the general public as an open beta in April, 2015. [4] In January, 2016 Google donated the underlying SDK, the implementation of a local runner, and a set of IOs (data connectors) to access Google Cloud Platform data services to the Apache Software Foundation. [5]

  3. Google Cloud Datastore - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Datastore

    Originally released as a feature in Google App Engine in 2008, [4] Cloud Datastore was announced as a standalone product in 2013 during Google I/O. [5] In 2018 at the Google Cloud Next conference, the second-generation Firestore database was opened to general availability, with a backward-compatibility mode. [6]

  4. Data engineering - Wikipedia

    en.wikipedia.org/wiki/Data_engineering

    Around the 1970s/1980s the term information engineering methodology (IEM) was created to describe database design and the use of software for data analysis and processing. [3] [4] These techniques were intended to be used by database administrators (DBAs) and by systems analysts based upon an understanding of the operational processing needs of organizations for the 1980s.

  5. Thomas Kurian - Wikipedia

    en.wikipedia.org/wiki/Thomas_Kurian

    Thomas Kurian (born 1966) is an Indian-American business executive and Chief Executive Officer of Google Cloud (under Alphabet Inc.) since 2019.In 2024, Gold House recognized him as one of the most impactful Asians due to his extensive experience in the areas of leadership, engineering and enterprise relations.

  6. Google Compute Engine - Wikipedia

    en.wikipedia.org/wiki/Google_Compute_Engine

    A single persistent disk can be attached to multiple instances in read-only mode. Each persistent disk can be up to 10 TB in size. Google Compute Engine encrypts the persistent disks with AES-128-CB, and this encryption is applied before the data leaves the virtual machine monitor and hits the disk. Encryption is always enabled and is ...

  7. Artificial intelligence in hiring - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_in...

    Additionally, many employers do not hire employees frequently and so have limited firm specific data to go off. [1] To combat this, many firms will use algorithms and data from other firms in their industry. [1] AI's reliance on applicant and current employees personal data raises privacy issues.

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