Data Science

Fairinta > Data Science
Data Governance
Establishing policies and procedures to ensure effective and secure data management.
Data Management
Organizing, storing, and processing data to support business objectives.
Master Data Management (MDM)
Ensuring consistency and accuracy of critical business data across an organization.
ETL (Extract, Transform, Load)
Managing the extraction, transformation, and loading of data between systems for analysis.
Data Piping
Facilitating the seamless flow of data between different applications and systems.
Data Lakes
Centralized repositories for storing and analyzing vast amounts of raw and diverse data.
Data Modeling
Creating visual representations of data structures to enhance understanding and support decision-making.
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