Understanding Data Governance
Many organizations are still under the impression that data governance can be achieved by implementing a data governance tool. This is false.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Data Governance
Episode 3 & 4 | Data Destination & Data Governance | Data Journey
What are data destinations? In a very abstract sense, data destination is another input along the series of process elements in a data pipeline. However, when calling out an element as the destination, it is really seen as the final destination such as a database, data lake or data warehouse. And yet, any element within the data pipeline has aspects of a final destination (and scaling challenges).
Data Governance and Strategy for the Global Enterprise
While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use. According to Gartner, by 2023 65% of the world’s population will have their personal data covered under modern privacy regulations.
Data Governance and Strategy for the Global Enterprise
In a recent blog, Cloudera Chief Technology Officer Ram Venkatesh described the evolution of a data lakehouse, as well as the benefits of using an open data lakehouse, especially the open Cloudera Data Platform (CDP). If you missed it, you can read up about it here.
Why You Need Data Governance for Analytics
How can you ensure data quality and security across your data analytics pipeline? With data governance – the exercising of authority and control over your data assets. It includes tracking, maintaining and protecting data at every stage of the lifecycle.
Demystifying the Data Governance Framework
Data governance is a set of rules, processes, role delegations, and responsibilities that clearly define data quality, accessibility, data security, and regulatory compliance for an organization’s enterprise data management. You are most probably already applying some sort of a data governance program - setting up rules for the management of data and acceptable use of data assets.
Why your modern data stack needs data governance
Having a governance strategy gives you data control and visibility.
What is data governance?
How policies, processes, roles and technology come together to ensure data integrity, data quality and access control.
What is Data Governance?
Data governance is a complex topic. In a nutshell, it refers to the aspect of data management concerning an organization's ability to ensure (A) that high data quality exists throughout the complete data lifecycle, and (B) that sufficient data controls are in place to support business objectives. In practice, data governance is the collection of processes, roles, policies, and standards that ensure a balance between access and control for information throughout an organization.
Five Essential Elements of Data Governance
What is data governance? Well, for one, it is a buzzword. And, with buzzwords, we often forget to slow down and investigate what they actually entail. This article is dedicated to exploring five essential elements of data governance – emphasizing the importance of implementing it from end to end.