A real-time scenario will give you a clear picture of how, why, where, and what the technology implications works.
Let us take financial services that deal with health insurance. This company has 24,000 employees across the world. It has got 6 branches in India, 2 in China, 1 each in Thailand, Germany, UK, Columbia, Dubai, and California of USA. Every country has its own auditing rules and regulations. Payrolls, employee work time, benefits, holiday, and others. The marketing, sales, and strategies would be different for different countries. Such a big company needs one such tool that handles big data and drives the data to make internal and Government Audits easy.
There are many BI tools available in the market which can provide a solution for the above company. But, they need one such tool which can show them end-to-end lineage of data.
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Ans: It means, showing such information about the data through which one can track the complete data movement and transformations like where is the origin of the data, Where does it transform, What happens next kind of information.
Ans:
1. Tracks all the changes made
2. History of transformations and rules applied to the data can be viewed by data scientists and analysts.
Ans: Collaborating with Hortonworks, Informatica has extended the metadata management capabilities so that end users can now able to see end-to-end data lineage map visually and the data is loaded into HDP.
Ans: Hortonworks is a company that provides enterprise-ready open platforms and modern applications relying on BIG DATA.
HORTON W0RKS DATA PLATFORM (HDP®) is a secure, enterprise-ready open source Apache on Hadoop. It is based on a centralized architecture supported by YARN that allocates data resources from various applications.
HDP ensures data is consistently administered and governed across data engines so that one can monitor one’s data. The data is highly secured.
Ans: Magellan Health - a healthcare company that focuses on behavioral health with a revenue of US$3.760 Billion based out of the USA uses Informatica MetaData Manager and Informatica PowerCenter for their Data Management.
Ans:
1. Business functional, technical, and operational data can be managed, viewed visually giving data lineage.
2. Connectors to scan to index metadata from the database.
3. Semantic search option is available to browse different data catalogs
4. End-to-end detailed data lineage can be summarized, stored, and recorded.
5. Provide highly impactful data analysis on each business operation to make strategic, internal auditing, and Government Auditing decisions easy.
6. Clear and concise visibility of data objects, rules implied, transformations made, and reference data to the metadata are provided.
7. Data domain and their relationship can be discovered showing accurate results.
Ans: It provides a variety of data management applications like:
>> Informatica PowerCenter: Delivers data integration with the support of data management and security concepts like data warehousing, data migration, master data management, data governance
>> Informatica Data Quality: Makes and provides all the organization's worksheets clean, trusted data to meet the business objectives and requirements.
>> Informatica Intelligent Data Lake: A self-service data preparation on collaboration with data governance for Hadoop-based big data maintained by an enterprise
>> Informatica Enterprise Informatica Catalog: The functionalities for and enterprises to manage and maximize the value of their data asset associated to individual organizations or collective enterprise.
>> Informatica Secure@Source: Enables security analysts to discover, classify sensitive data across the enterprise. along with organizational operations.
Ans: In simple terms,
>> Data is collected from various data sources.
>> Send to integrated systems that define, designs, source repository, meta-models details of the metadata.
>> Then the Metadata Manager Warehouse defines the reporting schema, user profiles, and reports on metadata.
>> The Metadata Manager Server takes info from a warehouse to search, view, and configure source repository metadata and run reports.
>> Application Server transmits the data to web browser efficiently.
Repository Service deals with the way the data and its objects are decoupled such that they store data/objects from the rest of the application defining certain services or rules or protocols that are required to operate your application.
They allow metadata to access repositories created in the above repository service.
Customer Metadata Configurator creates connectors to connect metadata with the network. In short, it defines rules for data lineage.
Meta Manager Console setup, configure and run those connectors that store the source repository metadata into metadata manager warehouse.
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Ravindra Savaram is a Technical Lead at Mindmajix.com. His passion lies in writing articles on the most popular IT platforms including Machine learning, DevOps, Data Science, Artificial Intelligence, RPA, Deep Learning, and so on. You can stay up to date on all these technologies by following him on LinkedIn and Twitter.