Trends:Enterprise-wide Metadata Repositories - Revision history

Admin at 12:41, 10 January 2017

2017-01-10T12:41:28Z

Admin at 12:41, 10 January 2017

2017-01-10T12:41:08Z

Admin: Created page with "{{DISPLAYTITLE: Enterprise-wide Metadata Repositories Trend}} == Industry Adoption Of The Process Trends == Complex-event Processing (CEP). CEP is the basis for many Pattern-B..."

2017-01-10T12:36:14Z

Created page with "{{DISPLAYTITLE: Enterprise-wide Metadata Repositories Trend}} == Industry Adoption Of The Process Trends == Complex-event Processing (CEP). CEP is the basis for many Pattern-B..."

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{{DISPLAYTITLE: Enterprise-wide Metadata Repositories Trend}}
== Industry Adoption Of The Process Trends ==
Complex-event Processing (CEP). CEP is the basis for many Pattern-Based Strategies, particularly those that require continuous intelligence. When combined with BPM, CEP not only helps detect patterns, but also allows an organization to quickly act on those patterns through executable business processes. Complex-event processing (CEP) is a style of computing that is implemented by event-driven, continuous-intelligence systems. It differs from other kinds of computing in two key respects: In CEP, insight is derived by combining information from multiple data points (event objects).

A CEP system uses algorithms and rules to process streams of event data that it receives from one or more sources. It generates new, summary-level facts (called complex events) and puts them in context to identify threat and opportunity situations. This information is then used to guide the response in sense-and-respond business activities. CEP is event-driven because the computation is triggered by the receipt of event data. CEP systems run continuously, so they are available to act as soon as the data arrives. Data is processed immediately upon arrival. By contrast, time-driven and request-driven IT systems store the data when it arrives, and processing is triggered later by a clock (in a time-driven system) or by a request from a person or computer program (in a request-driven system). One can produce complex events in a scheduled computation (time-driven processing) or in response to an ad hoc user query or method call (request-driven processing). However, the term CEP is generally only applied to event-driven processing.

Here, we focus on general-purpose, reusable event-processing software platforms that are customized at development time to implement CEP applications. The core of these platforms is a software engine that runs the CEP algorithms and rules. Commercial event-processing platform products typically include development and administrative tools; other tools to implement graphical business dashboards and alert end users; and adapters for various input event data sources and output devices.

[[Category: Industry Trends]]

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-{{DISPLAYTITLE: Enterprise-wide Metadata Repositories Trend}}
+{{DISPLAYTITLE: Enterprise-wide Metadata Repositories}}
 == The Enterprise-wide Metadata Repositories (EMR) Trend ==
 Metadata is defined as "information that describes various facets of an information asset to improve its usability throughout its life cycle." Generally speaking, the more valuable the information asset, the more critical managing the metadata about it becomes, because the contextual definition of metadata provides understanding that unlocks the value of data.

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 {{DISPLAYTITLE: Enterprise-wide Metadata Repositories Trend}}
-== Industry Adoption Of The Process Trends ==
+== The Enterprise-wide Metadata Repositories (EMR) Trend ==
-Complex-event Processing (CEP). CEP is the basis for many Pattern-Based Strategies, particularly those that require continuous intelligence. When combined with BPM, CEP not only helps detect patterns, but also allows an organization to quickly act on those patterns through executable business processes. Complex-event processing (CEP) is a style of computing that is implemented by event-driven, continuous-intelligence systems. It differs from other kinds of computing in two key respects: In CEP, insight is derived by combining information from multiple data points (event objects).
+Metadata is defined as "information that describes various facets of an information asset to improve its usability throughout its life cycle." Generally speaking, the more valuable the information asset, the more critical managing the metadata about it becomes, because the contextual definition of metadata provides understanding that unlocks the value of data.
-A CEP system uses algorithms and rules to process streams of event data that it receives from one or more sources. It generates new, summary-level facts (called complex events) and puts them in context to identify threat and opportunity situations. This information is then used to guide the response in sense-and-respond business activities. CEP is event-driven because the computation is triggered by the receipt of event data. CEP systems run continuously, so they are available to act as soon as the data arrives. Data is processed immediately upon arrival. By contrast, time-driven and request-driven IT systems store the data when it arrives, and processing is triggered later by a clock (in a time-driven system) or by a request from a person or computer program (in a request-driven system). One can produce complex events in a scheduled computation (time-driven processing) or in response to an ad hoc user query or method call (request-driven processing). However, the term CEP is generally only applied to event-driven processing.
+Examples of metadata are abstracted levels of information about the characteristics of an information asset, such as its name, location, perceived importance, quality or value to the organization, as well as its relationship to other information assets. Metadata can be stored as artifacts in "metadata repositories" in the form of digital data about information assets that the enterprise wants to manage. Metadata repositories are used to document and manage metadata (in terms of governance, compliance, security and collaborative sharing), and to perform analysis (such as change impact analysis and gap analysis) using the metadata. Repositories can also be used to publish reusable assets (such as application and data services) and browse metadata during life cycle activities (design, testing, release management and so on)  In the common sources of Metadata, should meet "enterprisewide" metadata management needs.
-Here, we focus on general-purpose, reusable event-processing software platforms that are customized at development time to implement CEP applications. The core of these platforms is a software engine that runs the CEP algorithms and rules. Commercial event-processing platform products typically include development and administrative tools; other tools to implement graphical business dashboards and alert end users; and adapters for various input event data sources and output devices.
+These include several categories of metadata repositories, such as those used in support of tool suites (tool suite repositories), project-level initiatives and programs (community-based repositories), and those used to federate and consolidate metadata from multiple sources (enterprise repositories) to manage metadata in a more "enterprisewide" fashion. Here we focus on the state of the repository markets - since there are now many sub-markets - in terms of this need to federate and consolidate metadata in an enterprisewide manner.
 [[Category: Industry Trends]]