Master Data Catalog from Fundamentals to Implementation
WIA-DATA-007 Standard - English E-Book
This comprehensive guide covers everything about Data Catalogs: from data discovery and metadata management to data lineage, business glossary, classification, and real-world implementation using Apache Atlas, DataHub, and Collibra.
Target Audience: Data Engineers, Data Analysts, Data Governance Professionals, Data Architects, CDOs (Chief Data Officers)
Estimated Reading Time: 8-10 hours
Learn what a data catalog is, why organizations need it, and core concepts. Understand how it solves data discovery, governance, and quality challenges.
Master search architecture, Elasticsearch implementation, autocomplete, relevance ranking, and advanced search features.
Explore metadata collection, storage, and governance. Learn technical, business, and operational metadata management strategies.
Track data flow and transformations. Build lineage graphs, perform impact analysis, and implement column-level lineage.
Build and manage business term definitions. Create organizational common language and approval workflows.
Implement auto-classification, PII detection, and tagging strategies. Apply security policies and ensure regulatory compliance.
Compare Apache Atlas, DataHub, and Collibra. Learn platform-specific features, strengths, and implementation patterns.
Build a data catalog from scratch. Learn architecture design, deployment strategy, best practices, and ROI measurement.