2004. "Data warehouse governance: best practices at Blue Cross and Blue Shield of North Carolina," Decision Support Systems (38:3), Dec2004, pp. 435-450.WATSON HJ, FULLER C and ARIYACHANDRA T (2004) Data warehouse governance: Best practices at blue cross and blue shield of North Carolina...
Learn how effective data governance processes ensure enterprise information is consistent, trustworthy and properly protected throughout the data lifecycle.
Cost of solution.Our modern data warehouse and enhanced feature have similar costs to similar workload requirements. Data security.We provide stronger built-in security protocols that protects your data against cyber threats. Data governance.Our data warehouse platform makes it seamless for organizations...
Cost of solution.Our modern data warehouse and enhanced feature have similar costs to similar workload requirements. Data security.We provide stronger built-in security protocols that protects your data against cyber threats. Data governance.Our data warehouse platform makes it seamless for organizations...
Data Governance refers to a specialized area within information architecture that manages data and its associated metadata as an asset of an enterprise in a comprehensive manner, involving data management, data quality, data stewardship, data policies, and data security. ...
(2004) `Data warehouse governance: best practices at Blue Cross and Blue Shield of North Carolina', Decision Support Systems, Vol. 38, No. 3, pp.435-450.Watson, H.J.; Fuller, C.; and Ariyachandra, T. Data warehouse governance: Best practice at Blue Cross and Blue Shield of North ...
☆Another notable start-up is Yunqi Technology, which is committed to building the "Yunqi Lakehouse", a data platform integrating data lakes and data warehouses. Designed for high performance, low cost, and ease of deployment, the platform addresses the growing demand among enterprises for ...
New integrations aim to better enable Microsoft users to directly access data in cloud data warehouses, which has been problematic given how different query languages interact. Continue Reading By Eric Avidon, Senior News Writer News 13 Feb 2025 Confluent, Databricks partner to simplify AI develo...
The Lakehouse architecture combines the best elements of data lakes and data warehouses. The pattern aims to provide a unified platform that supports both structured and unstructured data, which enables efficient data management and analytics. These systems typically use low-cost cloud storage in open...
Data Analyst’s responsibilities are the extraction of the data from data warehouses and preparing it for analysis. At first, the extracted data is in the raw form, on which operations such as manipulation and visualization will yield inconsistent results. To make the data structured, Data Analys...