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  2. List of big data companies - Wikipedia

    en.wikipedia.org/wiki/List_of_big_data_companies

    Alpine Data Labs, an analytics interface working with Apache Hadoop and big data; AvocaData, a two sided marketplace allowing consumers to buy & sell data with ease. Azure Data Lake is a highly scalable data storage and analytics service. The service is hosted in Azure, Microsoft's public cloud

  3. Andrew Ng - Wikipedia

    en.wikipedia.org/wiki/Andrew_Ng

    Ng is a professor at Stanford University departments of Computer Science and electrical engineering. He served as the director of the Stanford Artificial Intelligence Laboratory (SAIL), where he taught students and undertook research related to data mining, big data, and machine learning. His machine learning course CS229 at Stanford is the ...

  4. Cloudera - Wikipedia

    en.wikipedia.org/wiki/Cloudera

    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 ...

  5. DataOps - Wikipedia

    en.wikipedia.org/wiki/Dataops

    DataOps was first introduced by Lenny Liebmann, Contributing Editor, InformationWeek, in a blog post on the IBM Big Data & Analytics Hub titled "3 reasons why DataOps is essential for big data success" on June 19, 2014. [7] The term DataOps was later popularized by Andy Palmer of Tamr and Steph Locke. [8] [4] DataOps is a moniker for "Data ...

  6. Platform engineering - Wikipedia

    en.wikipedia.org/wiki/Platform_engineering

    Platform engineering is a software engineering discipline focused on the development of self-service toolchains, services, and processes to create an internal developer platform (IDP). [1] The shared IDP can be utilized by software development teams, enabling them to innovate.

  7. Amazon Redshift - Wikipedia

    en.wikipedia.org/wiki/Amazon_Redshift

    Amazon Redshift is a data warehouse product which forms part of the larger cloud-computing platform Amazon Web Services. [1] It is built on top of technology from the massive parallel processing (MPP) data warehouse company ParAccel (later acquired by Actian), [2] to handle large scale data sets and database migrations.

  8. Big data - Wikipedia

    en.wikipedia.org/wiki/Big_data

    Big data "size" is a constantly moving target; as of 2012 ranging from a few dozen terabytes to many zettabytes of data. [26] Big data requires a set of techniques and technologies with new forms of integration to reveal insights from data-sets that are diverse, complex, and of a massive scale. [27]

  9. 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.

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