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  2. Precisely (company) - Wikipedia

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

    Precisely Holdings, LLC, doing business as Precisely, is a software company specializing in data integrity tools, and also providing big data, high-speed sorting, ETL, data integration, data quality, data enrichment, and location intelligence offerings.

  3. 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

  4. Data integration - Wikipedia

    en.wikipedia.org/wiki/Data_integration

    Data integration refers to the process of combining, sharing, or synchronizing data from multiple sources to provide users with a unified view. [1] There are a wide range of possible applications for data integration, from commercial (such as when a business merges multiple databases) to scientific (combining research data from different bioinformatics repositories).

  5. Informatica - Wikipedia

    en.wikipedia.org/wiki/Informatica

    Informatica's product portfolio is focused on data integration: extract, transform, load, information lifecycle management, business-to-business data exchange, cloud computing integration, complex event processing, data masking, data quality, data replication, data virtualization, master data management, ultra messaging, and data governance.

  6. Worldpay, Inc. - Wikipedia

    en.wikipedia.org/wiki/Worldpay,_Inc.

    Element is a provider of fully integrated PCI DSS compliant payment processing solutions for merchants and business management software providers. [18] On May 12, 2014, Vantiv confirmed a $1.65 billion acquisition of Mercury Payment Systems LLC. [19] In November 2016, Vantiv acquired the US operations of Canadian payment processor Moneris ...

  7. 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 ...