Big Data Defining a Technical Architecture Want to build a technical architecture in your enterprise? Bill Inmon says you need to define it first! Read his insights here. Bill Inmon Read More
Big Data Is Data Mesh the Right Framework for Your Data Ecosystem? The data mesh approach was coined by Zhamak Dehghani - director of emerging technologies at Thoughtworks - as an alternative solution to the monolithic infrastructures that most organizations currently use. Terence Bennett Read More
Big Data Does the Data Warehouse Sit on a Single Physical Database? Bill Inmon says a data warehouse can exist in multiple physical platforms as long as it follows the principles of the system of record. Bill Inmon Read More
Big Data The Ultimate Data Lineage Guide 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. Mark Smallcombe Read More
Big Data My Friend Biaggio and the Data Warehouse: A Cautionary Tale Bill Inmon retells a story about a friend who experienced difficulties when moving to a new job. The problem? Data warehousing! Bill Inmon Read More
Big Data Data Warehousing–The Road Ahead 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. Bill Inmon Read More
Big Data Data Science Maturity and Understanding Data Architecture/Warehousing Bill Inmon, father of the data warehouse, discusses data science and the lack of understanding when it comes to data architecture and data warehousing. Bill Inmon Read More
Big Data Does Your Company Need a Data Observability Framework? 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. Mark Smallcombe Read More
Big Data Transformation for Analysis of Unintegrated Data—A Software Tautology 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. Bill Inmon Read More