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  2. Big data - Wikipedia

    en.wikipedia.org/wiki/Big_data

    These qualities are not consistent with big data analytics systems that thrive on system performance, commodity infrastructure, and low cost. Real or near-real-time information delivery is one of the defining characteristics of big data analytics. Latency is therefore avoided whenever and wherever possible.

  3. DataOps - Wikipedia

    en.wikipedia.org/wiki/Dataops

    DataOps is a set of practices, processes and technologies that combines an integrated and process-oriented perspective on data with automation and methods from agile software engineering to improve quality, speed, and collaboration and promote a culture of continuous improvement in the area of data analytics. [1]

  4. Analytics - Wikipedia

    en.wikipedia.org/wiki/Analytics

    Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. [8] It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in the future based on the previous data.

  5. Security information and event management - Wikipedia

    en.wikipedia.org/wiki/Security_information_and...

    The National Institute of Standards and Technology provides the following definition of SIEM: "Application that provides the ability to gather security data from information system components and present that data as actionable information via a single interface." [2] In addition, NIST has designed and implemented a federally mandated RMF.

  6. Data management - Wikipedia

    en.wikipedia.org/wiki/Data_management

    However, data has staged a comeback with the popularisation of the term big data, which refers to the collection and analyses of massive sets of data. While big data is a recent phenomenon, the requirement for data to aid decision-making traces back to the early 1970s with the emergence of decision support systems (DSS).

  7. Category:Big data - Wikipedia

    en.wikipedia.org/wiki/Category:Big_data

    Big memory; BisQue (Bioimage Analysis and Management Platform) ... Data stream management system; Data technology; ... Security visualisation; Session (web analytics)

  8. LexisNexis Risk Solutions - Wikipedia

    en.wikipedia.org/wiki/LexisNexis_Risk_Solutions

    LexisNexis Risk Solutions uses HPCC Systems, also known as DAS (Data Analytics Supercomputer), extensively [5] —its software architecture runs from commodity computing clusters to provide high-performance, data-parallel processing for big data applications. The HPCC Systems platform includes a data refinery (Thor) and a rapid data delivery ...

  9. Cyber Security and Information Systems Information Analysis ...

    en.wikipedia.org/wiki/Cyber_Security_and...

    CSIAC provides centralized Cyber Security vulnerability data and support to ensure the continuity of critical Information Systems for the nation's defense. Reliance on Timely and Accurate Information Services: In the modern era, timely and accurate information is crucial for various aspects of society, including government operations, financial ...

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