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Informatica CDQ | Services, Assets, Functions, and Outputs Explained

Hello, everyone. In this session, we are going to gain knowledge on data quality. Now let's try to understand the data quality services and assets in cloud data quality, what services and assets we do have. So, cloud data, quality services and assets are cloud-based tools and solutions designed to ensure accuracy, consistency, and completeness. and usability of data across various platforms. These services help organisations manage and improve their data quality through automation, integration and real-time monitoring.

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Informatica CDQ | Services, Assets, Functions, and Outputs Explained

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  1. Day4-Informatica Cloud Data Quality(CDQ) Agenda Cloud Data Quality Services and Assets Data Quality functions, inputs, and outputs InventModel Technology Solution +91-98219-31210 support@inventmodel.com

  2. Cloud Data Quality Services and Assets InventModel Technology Solution +91-98219-31210 support@inventmodel.com Cloud Data Quality Services and Assets are cloud-based tools and solutions designed to ensure the accuracy, consistency, completeness, and usability of data across various platforms. These services help organizations manage and improve their data quality through automation, integration, and real-time monitoring. Key Components: Data Profiling: Analyzes data to identify issues like missing values, duplicates, and inconsistencies. Data Cleansing: Corrects errors, removes duplicates, and standardizes data. Data Validation: Ensures data meets predefined rules and business logic. Data Enrichment: Enhances data by adding external information to improve its value and completeness. Data Monitoring: Continuously tracks data quality, alerting users to potential issues. Integration: Connects with other data systems to maintain data quality across platforms. InventModel Technology Solution +91-98219-31210 support@inventmodel.com

  3. Cloud Data Quality Services and Assets InventModel Technology Solution +91-98219-31210 support@inventmodel.com Assets In Data Quality, an asset is an object that defines part or all of a data quality operation. In Data Integration, assets are mappings, taskflows, and tasks such as mapping tasks, synchronization tasks, and replication tasks. Data Integration assets also include components such as business services, mapplets, and hierarchical schemas. You can create the following assets in Data Quality: cleanse, deduplicate, parse, labeler, rule specification, and verifier. Add the assets to a Cleanse transformation, Deduplicate transformation, Parse transformation, Labeler transformation, Rule Specification transformation, and Verifier transformation respectively when you design a mapping in Data Integration. You can add each transformation to a non-elastic mapping. You can add a Cleanse transformation, Parse transformation, Rule Specification transformation, and Verifier transformation to an elastic mapping. InventModel Technology Solution +91-98219-31210 support@inventmodel.com

  4. Cloud Data Quality Services and Assets InventModel Technology Solution +91-98219-31210 support@inventmodel.com Key Benefits: Scalability: Easily handles large volumes of data. Cost Efficiency: Pay-as-you-go pricing models. Real-Time Processing: Provides continuous data quality monitoring. Automation: Automates data quality tasks like validation and cleansing. Examples of cloud data quality services include AWS Glue, Informatica Cloud Data Quality, and Google Cloud Data Quality. These platforms offer comprehensive tools for improving and maintaining high-quality data in the cloud. InventModel Technology Solution +91-98219-31210 support@inventmodel.com

  5. Data Quality functions, inputs, and outputs InventModel Technology Solution +91-98219-31210 support@inventmodel.com Data Quality Functions, Inputs, and Outputs In the context of data quality management, several key functions are performed to ensure data remains accurate, consistent, and usable. These functions work on various inputs (raw data) and produce outputs (clean, validated, enriched data) that can be used for decision-making, analytics, and other business operations. Each data quality function ensures that data is of high quality at different stages of its lifecycle, helping organizations to maintain reliable, accurate, and usable data for decision-making, compliance, and operational efficiency. The inputs generally include raw data and relevant rules or reference sources, while the outputs are cleaned, validated, and enriched datasets that are ready for analysis and use. These functions collectively support a robust data quality management process. InventModel Technology Solution +91-98219-31210 support@inventmodel.com

  6. Data Quality functions, inputs, and outputs InventModel Technology Solution +91-98219-31210 support@inventmodel.com InventModel Technology Solution +91-98219-31210 support@inventmodel.com

  7. Thank You ! References – https://informatica.com InventModel Technology Solution +91-98219-31210 support@inventmodel.com

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