Data Governance
10 articles tagged with "Data Governance"
Soda vs. Great Expectations: Data Quality Tools
Compare Soda's SQL/YAML real-time monitoring and Great Expectations' Python validations to pick the best data quality tool for your team's workflow.
How Data Teams Drive Continuous Improvement
How data teams use audits, root-cause analysis, PDCA, feedback loops, agile methods and modern tools to improve data quality, reliability and delivery.
Access Control in Snowflake Migrations
Plan RBAC, enforce MFA, apply network and session policies, and monitor grants to secure Snowflake during and after migrations.
Databricks for Financial Market Analysis
Use Databricks Lakehouse to combine real-time and historical market data, build streaming Delta pipelines, and train scalable predictive models.
Polyglot Persistence: Database Per Service Pattern
How polyglot persistence and the database-per-service pattern let microservices pick optimal databases, scale independently, and manage consistency trade-offs.
How Databricks Handles Schema Transformations
Guide to schema enforcement, schema evolution, Auto Loader, mergeSchema, type widening, and streaming best practices in Databricks.
Error Handling in dbt: Best Practices
Practical dbt error-handling guide: diagnose compilation, model, and database errors; use tests, safe casts, macros, logs, and CI/CD to prevent failures.
Snowflake in Hybrid Cloud Data Architecture
Unify storage, compute, and governance across hybrid clouds using hybrid tables, micro-partitioning, secure cross-cloud sharing, and pay-per-use scaling.
Backward Compatibility in Schema Evolution: Guide
Evolve schemas without breaking pipelines: learn safe changes, compatibility modes (BACKWARD vs BACKWARD_TRANSITIVE), registry best practices, and rollout tips.
10 Benefits of Domain-Oriented Data Architecture
Decentralized domain-oriented data architecture improves data quality, speed, scalability, governance, security, and sharing by treating data as products.