Defining a Technical Architecture December 02, 2022 by Bill Inmon Want to build a technical architecture in your enterprise? Bill Inmon says you need to define it first! Read his insights here.
Data Governance Framework Policy - What Do You Need to Know? November 30, 2022 by Mark Smallcombe Why Do Companies Need a Data Governance Policy? We need data governance frameworks for efficient data management and control. Learn more.
Why the Data Warehouse is Not Dead and Stronger Than Ever November 25, 2022 by Bill Inmon Read Bill Inmon's perspectives about the so-called 'death' of the data warehouse and why this technology is stronger than ever before.
The Ultimate Data Lineage Guide November 16, 2022 by Mark Smallcombe This article will serve as the ultimate guide to data lineage for beginners as well as experienced professionals. But first, let’s talk more about what this lineage is.
My Friend Biaggio and the Data Warehouse: A Cautionary Tale November 11, 2022 by Bill Inmon Bill Inmon retells a story about a friend who experienced difficulties when moving to a new job. The problem? Data warehousing!
Data Warehousing–The Road Ahead November 04, 2022 by Bill Inmon Bill Inmon, the father of the data warehouse, looks at the future of data warehousing and why data integrity and unrestricted data access matter in this post.
Data Science Maturity and Understanding Data Architecture/Warehousing October 28, 2022 by Bill Inmon Bill Inmon, father of the data warehouse, discusses data science and the lack of understanding when it comes to data architecture and data warehousing.
Does Your Company Need a Data Observability Framework? October 26, 2022 by Mark Smallcombe Data observability helps data engineers with maintaining data quality, tracking the root cause of errors, and future-proofing the data pipelines. Let’s talk about the benefits in more detail below.
Transformation for Analysis of Unintegrated Data—A Software Tautology October 21, 2022 by Bill Inmon Bill Inmon, the father of the data warehouse, explains why it is a tautology that transformation is required for the proper analysis of unintegrated data sets.