Informatica EDC stands for Informatica Enterprise Data Catalog. It's a metadata-driven data catalog that enables organizations to discover, understand, and govern data assets across the enterprise. EDC provides a centralized inventory of data assets, including databases, tables, files, and other data sources, and enriches this metadata with business context and lineage information.

  1. Data Discovery: Automatically scans and catalogs metadata from various data sources, including databases, data warehouses, data lakes, and cloud platforms.

  2. Metadata Management: Provides a centralized repository for storing and managing metadata, making it easy to search, browse, and analyze data assets.

  3. Data Lineage: Captures and visualizes the end-to-end lineage of data assets, showing how data flows through the organization and how it's transformed along the way.

  4. Data Profiling: Analyzes and profiles data to understand its quality, structure, and content, helping organizations make informed decisions about data usage and governance.

Before learning Informatica EDC (Enterprise Data Catalog), it's beneficial to have the following skills:

  1. Data Management Fundamentals: Understanding of basic data management concepts and principles, including data types, structures, and formats.

  2. Database Knowledge: Familiarity with relational database management systems (RDBMS) and SQL querying skills.

  3. Data Integration: Knowledge of data integration concepts and tools, including ETL (Extract, Transform, Load) processes.

  4. Metadata Management: Understanding of metadata concepts and metadata management practices.

By learning Informatica EDC (Enterprise Data Catalog), you gain the following skills:

  1. Data Discovery: Ability to discover and catalog data assets across the enterprise, including databases, files, and data lakes.

  2. Metadata Management: Proficiency in managing metadata to provide a centralized inventory of data assets and their attributes.

  3. Data Lineage: Understanding of how data flows through the organization and how it's transformed along the way, enabling end-to-end data lineage analysis.

  4. Data Profiling: Skills in analyzing and profiling data to understand its quality, structure, and content.

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