Learn about data warehousing best practices, ETL patterns, and industry insights
See how a pragmatic, metadata-driven NMA backbone can enable Data Mesh principles, blending centralized reliability with decentralized domain ownership.
Read Article →Discover how moving from custom code to configuration can reduce integration time by up to 90% while improving maintainability and data quality across your data warehouse.
Compare NMA Framework against Snowflake, Databricks, dbt, and BigQuery. See why NMA excels in integration speed, governance, and ROI for enterprise data challenges.
Discover how NMA turns BI into a profit center: 50-75% cost cuts and 20-40% revenue lifts through automation and insights.
A deep dive into NMA's alignment with Inmon, Kimball, Data Vault, Data Mesh, and the Data Lakehouse.
A candid assessment of the NMA Framework's strengths, limitations, and strategic fit in the modern data landscape.
Learn how the NMA Framework's Fallout System tracks data quality issues without blocking pipelines, enabling systematic resolution and continuous improvement.
Follow along as we walk through adding a new data source to the NMA Framework. From metadata configuration to validation, see how it's done in 3-5 days.
A detailed look at how Pricewise consolidated 20+ data sources in 12 weeks, delivering €2.6M in annual value through the NMA Framework.
Understand how timeslice-based tracking enables accurate historical reporting and regulatory compliance without complex CDC setups.
Learn how to migrate from on-premises to cloud using the NMA Framework's hybrid deployment pattern, minimizing risk and downtime.
Explore the latest trends in data warehousing, from metadata-driven approaches to cloud-native architectures and self-service analytics.
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