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  2. File:Log analysis using Splunk Hadoop Connect (IA ...

    en.wikipedia.org/wiki/File:Log_analysis_using...

    Splunk was able to effectively identify and represent statistical anomalies in log files. These anomalies could reveal misconfiguration, security concerns, or unusual but harmless traffic. Splunk could also easily transfer data to relatively inexpensive commodity servers using Splunk Hadoop Connect.

  3. Splunk - Wikipedia

    en.wikipedia.org/wiki/Splunk

    In 2019, Splunk announced new capabilities to its platform, including the general availability of Data Fabric Search and Data Stream Processor. Data Fabric Search uses datasets across different data stores, including those that are not Splunk-based, into a single view. The required data structure is only created when a query is run. [66]

  4. List of reporting software - Wikipedia

    en.wikipedia.org/wiki/List_of_reporting_software

    ActiveReports; Actuate Corporation; BOARD; Business Objects; Cognos BI; Crystal Reports; CyberQuery; GoodData; I-net Crystal-Clear; InetSoft; Information Builders ...

  5. Ranking (information retrieval) - Wikipedia

    en.wikipedia.org/wiki/Ranking_(information...

    Ranking of query is one of the fundamental problems in information retrieval (IR), [1] the scientific/engineering discipline behind search engines. [2] Given a query q and a collection D of documents that match the query, the problem is to rank, that is, sort, the documents in D according to some criterion so that the "best" results appear early in the result list displayed to the user.

  6. Michael Baum (entrepreneur) - Wikipedia

    en.wikipedia.org/wiki/Michael_Baum_(entrepreneur)

    Splunk was the sixth startup for Baum and the first pure-play big data company to reach significant customer and revenue scale and debut on the public markets. Baum, Das and Swan and their team at Splunk have been awarded two US Patents for their work. [13] [14] Baum was Splunk's founding CEO for the first six years. [15]

  7. Query likelihood model - Wikipedia

    en.wikipedia.org/wiki/Query_likelihood_model

    The query likelihood model is a language model [1] [2] used in information retrieval. A language model is constructed for each document in the collection. It is then possible to rank each document by the probability of specific documents given a query. This is interpreted as being the likelihood of a document being relevant given a query.

  8. Tracing (software) - Wikipedia

    en.wikipedia.org/wiki/Tracing_(software)

    Tracing in software engineering refers to the process of capturing and recording information about the execution of a software program. This information is typically used by programmers for debugging purposes, and additionally, depending on the type and detail of information contained in a trace log, by experienced system administrators or technical-support personnel and by software monitoring ...

  9. Federated search - Wikipedia

    en.wikipedia.org/wiki/Federated_search

    Federated search retrieves information from a variety of sources via a search application built on top of one or more search engines. [1] A user makes a single query request which is distributed to the search engines, databases or other query engines participating in the federation. The federated search then aggregates the results that are ...