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Superseded by Microsoft Azure Log Analytics azure.microsoft.com /en-us /services /log-analytics /. Content license. Proprietary: Microsoft System Center Advisor ...
Azure Data Explorer is a fully-managed [1] big data analytics ... The project aim was to address Azure services' needs for fast and scalable log and telemetry analytics.
Microsoft Azure, or just Azure (/ˈæʒər, ˈeɪʒər/ AZH-ər, AY-zhər, UK also /ˈæzjʊər, ˈeɪzjʊər/ AZ-ure, AY-zure), [5] [6] [7] is the cloud computing platform developed by Microsoft. It has management, access and development of applications and services to individuals, companies, and governments through its global infrastructure.
Microsoft Azure Stream Analytics is a serverless scalable complex event processing engine by Microsoft that enables users to develop and run real-time analytics on multiple streams of data from sources such as devices, sensors, web sites, social media, and other applications. [1]
Web log analysis software (also called a web log analyzer) is a kind of web analytics software that parses a server log file from a web server, and based on the values contained in the log file, derives indicators about when, how, and by whom a web server is visited. Reports are usually generated immediately, but data extracted from the log ...
Azure Data Lake service was released on November 16, 2016. It is based on COSMOS, [2] which is used to store and process data for applications such as Azure, AdCenter, Bing, MSN, Skype and Windows Live.
Log management is the process for generating, transmitting, storing, accessing, and disposing of log data. A log data (or logs) is composed of entries (records), and each entry contains information related to a specific event that occur within an organization's computing assets, including physical and virtual platforms, networks, services, and cloud environments.
In computer log management and intelligence, log analysis (or system and network log analysis) is an art and science seeking to make sense of computer-generated records (also called log or audit trail records). The process of creating such records is called data logging. Typical reasons why people perform log analysis are:
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