What types of APIs does Data Precise Plug-In expose?

The plug-in exposes APIs for submitting data and retrieving processed results. These APIs may use protocols such as REST or SOAP. Specific API endpoint patterns depend on the implementation.

What are the main system components of Data Precise Plug-In?

The main system components include a data input module, a parsing engine, a normalization engine, and a data output module. These components communicate through internal APIs and data queues.

What administrative interfaces are available?

Administrative interfaces include a command-line interface (CLI) and potentially a web-based console. The CLI allows administrators to manage configuration files, monitor processing queues, and view logs.

How does Data Precise Plug-In improve data quality and business value?

By parsing and normalizing data, Data Precise Plug-In improves data quality, leading to more accurate matching, sorting, and reporting. This results in better decision-making and operational efficiency.

How does data conversion contribute to business value?

The plug-in's data conversion capabilities ensure that data is in a consistent format, reducing errors and inconsistencies in downstream processes. This leads to cost savings and improved data governance.

How does attribute determination enhance business value?

By determining attributes such as gender and ethnicity, Data Precise Plug-In enables organizations to gain insights into their customer base, leading to more targeted marketing and personalized services.

What authentication methods are supported?

Data Precise Plug-In supports authentication methods such as LDAP and potentially SAML 2.0. These methods ensure that only authorized users can access administrative interfaces and configuration files.

What access control model is used?

The plug-in uses an access control model such as RBAC, allowing administrators to define roles and assign permissions to users based on their roles. This ensures that users only have access to the resources they need.

What encryption is used and where?

Data Precise Plug-In may use encryption to protect sensitive data at rest and in transit. The specific encryption algorithms and protocols depend on the implementation.

What audit/logging capabilities exist?

The plug-in provides audit logging capabilities, recording events such as configuration changes, user logins, and data processing activities. These logs can be used to track user activity and identify potential security breaches.

What monitoring capabilities exist?

Data Precise Plug-In provides monitoring capabilities through its administrative interfaces, allowing administrators to track processing queues, resource utilization, and error rates. These metrics can be used to identify performance bottlenecks and potential issues.

What logging capabilities exist?

The plug-in generates logs that record events such as configuration changes, user logins, and data processing activities. These logs can be used to troubleshoot issues and track system activity.

How is user management handled?

User management is handled through the administrative interfaces, allowing administrators to create, modify, and delete user accounts. User accounts are associated with roles that define their permissions.

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Data Precise Plug-In

ABA Active z/OS

Data Management Application/Application Enviroment

Vendor

ABA

Product Overview

Data Precise Plug-In features a modular architecture comprising data input, parsing, normalization, and data output components. The data input module handles data ingestion from various sources. The parsing engine applies rules defined in configuration files to extract relevant information.

The normalization engine converts data into a consistent format, handling capitalization, punctuation, and abbreviations. The data output module delivers processed data to downstream applications. Communication between components occurs through internal APIs and data queues.

The plug-in uses configuration files to define parsing rules and normalization parameters. Administrative interfaces include a command-line interface (CLI) and potentially a web-based console. 0.

Competing products may offer similar functionality, but Data Precise Plug-In distinguishes itself through its focus on data integrity assessment and customizable parsing rules. The architecture supports scalability and maintainability, allowing organizations to adapt to changing data processing needs.

Frequently Asked Questions

What core functionality does Data Precise Plug-In provide?

Data Precise Plug-In parses and normalizes data, converting it into a suitable format for downstream processing. It determines attributes such as gender, ethnicity, and address type, and assesses data integrity.

How are parsing and normalization rules configured?

The plug-in uses configuration files to define parsing rules and normalization parameters. These files specify how data should be transformed and validated.

How does Data Precise Plug-In integrate with other applications?

Data Precise Plug-In supports integration through APIs, allowing other applications to leverage its data parsing and normalization capabilities. The APIs expose methods for submitting data and retrieving processed results.

What are the main architectural components of Data Precise Plug-In?

The plug-in's architecture includes components for data input, parsing, normalization, and output. These components work together to process data according to defined rules and configurations.

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Data Precise Plug-In

Product Overview

Frequently Asked Questions

What core functionality does Data Precise Plug-In provide?

How are parsing and normalization rules configured?

How does Data Precise Plug-In integrate with other applications?

What are the main architectural components of Data Precise Plug-In?

What configuration files are used to define parsing and normalization rules?

What types of APIs does Data Precise Plug-In expose?

What are the main system components of Data Precise Plug-In?

What administrative interfaces are available?

How does Data Precise Plug-In improve data quality and business value?

How does data conversion contribute to business value?

How does attribute determination enhance business value?

What authentication methods are supported?

What access control model is used?

What encryption is used and where?

What audit/logging capabilities exist?

What monitoring capabilities exist?

What logging capabilities exist?

How is user management handled?

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