LEAD Reference Content:Enterprise Information Integration - Revision history

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Created page with "{{DISPLAYTITLE: Enterprise Information Integration}} == Enterprise Information Integration == File:Enterprise Information Integration.png|thumb|800px|Figure 1: Enterprise I..."

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{{DISPLAYTITLE: Enterprise Information Integration}}
== Enterprise Information Integration ==

[[File:Enterprise Information Integration.png|thumb|800px|Figure 1: Enterprise Information Integration.]]

[[Category: Information Architecture]]
[[Category: Application Hosting, Management & Development]]
[[Category: Data & Analytics]]
[[Category: System Architecture]]

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 {{DISPLAYTITLE: Enterprise Information Integration}}
 == Enterprise Information Integration ==
-Discovery Services – Discovery Services is a critical first step in any information integration project; it can help you automatically discover data structures, and most importantly, the relationships of objects such as tables in a database schema or table column relationships of various tables in different database schemas. These discovery services need to be implemented through tools to improve purposes throughout any information integration project.
+'''Discovery Services:''' Discovery Services is a critical first step in any information integration project; it can help you automatically discover data structures, and most importantly, the relationships of objects such as tables in a database schema or table column relationships of various tables in different database schemas. These discovery services need to be implemented through tools to improve purposes throughout any information integration project.
-Profiling Services – These services include the analysis, definition, and modelling of data and information content and structure, and also their meaning and relationships. Analysis services can automatically scan a suitable sample of your data to determine quality and structure. Profiling services enable you to discover data quality problems that require correction with structure or validity before they affect your project, reducing project risks. Profile services must address the following objects: the data, values, structures, and relationship of those objects, and last but not least, rules that are best understood by business users that can facilitate the dialogue between business and technical roles and responsibilities. The initial profiling of data and other information-related objects needs to be follow by an ongoing data analysis as part of an organizational or enterprise-wide data governance strategy to ensure trusted information is delivered over time. In other words, information-profiling services are part of a monitoring and auditing process that ensures validity and accuracy, adherence with business rules, and compliance with internal standards and industry regulations.
+'''Profiling Services:''' These services include the analysis, definition, and modelling of data and information content and structure, and also their meaning and relationships. Analysis services can automatically scan a suitable sample of your data to determine quality and structure. Profiling services enable you to discover data quality problems that require correction with structure or validity before they affect your project, reducing project risks. Profile services must address the following objects: the data, values, structures, and relationship of those objects, and last but not least, rules that are best understood by business users that can facilitate the dialogue between business and technical roles and responsibilities. The initial profiling of data and other information-related objects needs to be follow by an ongoing data analysis as part of an organizational or enterprise-wide data governance strategy to ensure trusted information is delivered over time. In other words, information-profiling services are part of a monitoring and auditing process that ensures validity and accuracy, adherence with business rules, and compliance with internal standards and industry regulations.
-Cleansing Services – Improving and maintaining a high quality of data is another essential part of the Information Integration Component. Cleansing Services help to reduce the time and cost to implement CRM, ERP, BI, DW’s, and other strategic customer-related IT initiatives. Cleansing Services support the required information quality and consistency by standardizing, validating, matching, and merging data. Cleansing services provide a set of integrated components for accomplishing data quality improvement and restructuring tasks. A cleansing routine is executed step-by-step as follows:
+'''Cleansing Services:''' Improving and maintaining a high quality of data is another essential part of the Information Integration Component. Cleansing Services help to reduce the time and cost to implement CRM, ERP, BI, DW’s, and other strategic customer-related IT initiatives. Cleansing Services support the required information quality and consistency by standardizing, validating, matching, and merging data. Cleansing services provide a set of integrated components for accomplishing data quality improvement and restructuring tasks. A cleansing routine is executed step-by-step as follows:
-#Investigation Step – This step is delivered through the Discovery and Profiling services and is related to understanding the quality aspects of the source data records.
+#'''Investigation Step''' – This step is delivered through the Discovery and Profiling services and is related to understanding the quality aspects of the source data records.
-#Standardization Step – This step conditions the data records further and standardizes these records according structures of the source data and quality improvement rules. This is typical Cleansing Service functionality.
+#'''Standardization Step''' – This step conditions the data records further and standardizes these records according structures of the source data and quality improvement rules. This is typical Cleansing Service functionality.
-#Matching Step – During this step, matches are determined through deterministics or more sophisticated probabilistic matching capabilities. Matching Services are another common task delivered through Cleansing Services.
+#'''Matching Step''' – During this step, matches are determined through deterministics or more sophisticated probabilistic matching capabilities. Matching Services are another common task delivered through Cleansing Services.
-#Determination Step – The final step includes the decision about which data records will survive and which ones will be discarded. This step enables a single record to survive the best information across specified data sources for each unique entity. This is based on survivorship rules at the recordor attribute level. Survivorship functions are also part of Cleansing Services.
+#'''Determination Step''' – The final step includes the decision about which data records will survive and which ones will be discarded. This step enables a single record to survive the best information across specified data sources for each unique entity. This is based on survivorship rules at the recordor attribute level. Survivorship functions are also part of Cleansing Services.
-Transformation Services – These services transform and enrich information to ensure that it is in the proper context for new usage scenarios. This includes restructuring and aggregating information along with high-speed joins and sorts of heterogeneous data. Furthermore, these transformation services provide high-volume, complex data transformation and movement functionality that can be used for standalone ETL scenarios, or as real-time data processing engine for applications or processes.
+'''Transformation Services:''' These services transform and enrich information to ensure that it is in the proper context for new usage scenarios. This includes restructuring and aggregating information along with high-speed joins and sorts of heterogeneous data. Furthermore, these transformation services provide high-volume, complex data transformation and movement functionality that can be used for standalone ETL scenarios, or as real-time data processing engine for applications or processes.
-Federation Services – These services hide the complexity and diversity of the underlying heterogeneous data landscape. Applications need to access data that resides in different data repositories, managed by DB2, Oracle, Sybase, or MS SQL Service DBMS systems. Federation services provide a level of transparency between the application and the underlying data landscape, so that the application doesn’t have to be aware of this level of complexity and diversity.
+'''Federation Services:''' These services hide the complexity and diversity of the underlying heterogeneous data landscape. Applications need to access data that resides in different data repositories, managed by DB2, Oracle, Sybase, or MS SQL Service DBMS systems. Federation services provide a level of transparency between the application and the underlying data landscape, so that the application doesn’t have to be aware of this level of complexity and diversity.
-Replication Services – The objective of Replication Services is to ensure consistency between redundant resources. Change Data Capture (CDC) techniques are used to identify the changes that need to be replicated from the source to one or multiple targets. Depending on the requirements and use case scenarios, Replication Services can be delivered with a wide variety of different attributes such as:
+'''Replication Services:''' The objective of Replication Services is to ensure consistency between redundant resources. Change Data Capture (CDC) techniques are used to identify the changes that need to be replicated from the source to one or multiple targets. Depending on the requirements and use case scenarios, Replication Services can be delivered with a wide variety of different attributes such as:
 *Replication direction – Uni- or bi-directional
 *Replication frequency – Daily, hourly, on demand
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 *Latency – Delay in data replication
-Deployment Services – These services provide an integrated environment that enables the user to rapidly deploy other EII capabilities as services to a user or an application. Deployment Services should also leverage other EII services for understanding, cleansing, transforming, and federating information. Deployment Services deploy those integration tasks as consistent and reusable information services. After an EII service has been built and is enabled for deployment, any enterprise application or enterprise integration software can invoke the service by using a binding protocol such as Web services.
+'''Deployment Services:''' These services provide an integrated environment that enables the user to rapidly deploy other EII capabilities as services to a user or an application. Deployment Services should also leverage other EII services for understanding, cleansing, transforming, and federating information. Deployment Services deploy those integration tasks as consistent and reusable information services. After an EII service has been built and is enabled for deployment, any enterprise application or enterprise integration software can invoke the service by using a binding protocol such as Web services.
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-Streaming Services – These services provide the capability to perform real-time analytics while the data is in motion. With real-time analytics, response times in micro-seconds are required on large volumes of data. IBM InfoSphere Streams is the first product delivering such capabilities.
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 [[Category: Information Architecture]]
 [[Category: Application Hosting, Management & Development]]
 [[Category: Data & Analytics]]
 [[Category: System Architecture]]