Big Data November 30, 2022 Data Governance Framework Policy - What Do You Need to Know? Why Do Companies Need a Data Governance Policy? We need data governance frameworks for efficient data management and control. Learn more.
Big Data November 25, 2022 Why the Data Warehouse is Not Dead and Stronger Than Ever Read Bill Inmon's perspectives about the so-called 'death' of the data warehouse and why this technology is stronger than ever before.
Big Data November 23, 2022 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.
Big Data November 18, 2022 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.
Big Data November 16, 2022 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.
Big Data November 11, 2022 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!
Big Data November 04, 2022 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.
Big Data October 28, 2022 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.
Big Data October 26, 2022 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.
