Home / Topics / Data Management Quotes

Data Management Quotes

Browse 6 quotes about Data Management.

Data Management Quotes

“CRM is your GPS to a better route on your Business Development journey.”

Marketing Business Development Crm Data Management Building New Business

Author:Bobby Darnell

“The degree of data quality excellence that should be attained and sustained is driven by the criticality of the data, the business need and the cost and time to achieve the defined degree of data quality.”

Quality Information Excellence Data Information Technology Degree Information Management Data Quality Data Management

Author:Rupa Mahanti, in Data Quality: Dimensions, Measurement, Strategy, Management, and Governance

“One of the patterns from domain-driven design is called bounded context. Bounded contexts are used to set the logical boundaries of a domain’s solution space for better managing complexity. It’s important that teams understand which aspects, including data, they can change on their own and which are shared dependencies for which they need to coordinate with other teams to avoid breaking things. Setting boundaries helps teams and developers manage the dependencies more efficiently. The logical boundaries are typically explicit and enforced on areas with clear and higher cohesion. These domain dependencies can sit on different levels, such as specific parts of the application, processes, associated database designs, etc. The bounded context, we can conclude, is polymorphic and can be applied to many different viewpoints. Polymorphic means that the bounded context size and shape can vary based on viewpoint and surroundings. This also means you need to be explicit when using a bounded context; otherwise it remains pretty vague.”

Data Data Management Domain Driven Design

Book:Data Management at Scale: Best Practices for Enterprise Architecture

Source: Data Management at Scale: Best Practices for Enterprise Architecture

“Connascence, in the context of software engineering, refers to the degree of coupling between software components. (Connascence.io hosts a handy reference to the various types of connascence.) Software components are connascent if a change in one would require the other(s) to be modified in order to maintain the overall correctness of the system.”

Software Engineering Data Management Data Architecture

Book:Data Management at Scale: Best Practices for Enterprise Architecture

Source: Data Management at Scale: Best Practices for Enterprise Architecture

“Protecting data is not just about preventing unauthorized access. It also involves ensuring data integrity and availability.”

Data Science Database Data Management

Book:AI Horizons: Shaping a Better Future Through Responsible Innovation and Human Collaboration

Source: AI Horizons: Shaping a Better Future Through Responsible Innovation and Human Collaboration

“For advanced analytics, a well-designed data pipeline is a prerequisite, so a large part of your focus should be on automation. This is also the most difficult work. To be successful, you need to stitch everything together.”

Data Management

Book:Data Management at Scale: Best Practices for Enterprise Architecture

Source: Data Management at Scale: Best Practices for Enterprise Architecture