Book Data Modelling Data Requirement 
Astera
FEBRUARY 1, 2024
Data modeling is the process of structuring and organizing data so that it’s readable by machines and actionable for organizations. In this article, we’ll explore the concept of data modeling, including its importance, types , and best practices. What is a Data Model?
Argon Digital
AUGUST 4, 2022
Creating a Business Data Diagram. I found the exercise of creating a Data Flow Diagram for a block walk/canvass so interesting that I decided to play with the same use case to create another data model, the Business Data Diagram (BDD). The BDD is one of the most important and useful models we use.
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Argon Digital
AUGUST 4, 2022
I found the exercise of creating a Data Flow Diagram for a block walk/canvass so interesting that I decided to play with the same use case to create another data model, the Business Data Diagram (BDD). The BDD is one of the most important and useful models we use.
Astera
AUGUST 16, 2024
Lack of Planning Lack of planning around data migration can cost organizations time, resources, and, most importantly, competitive advantage. The data migration plan should ensure the target system will support all the required integrated tools. Astera does all the heavy lifting involved in a data migration.
Bridging the Gap
NOVEMBER 2, 2023
At the back of my mind, while this was all going on, I’ve always come across Bridging the Gap and I’ve always seen Laura post on LinkedIn and I’ve always been interested with her posts and articles and even the book, her first book, or I think it was one of her first books. Sorry if I got them wrong.
Insight Software
JULY 13, 2023
Without deep insights into your organization’s operations, your stakeholders lack a clear understanding of company-wide performance and data analysis to shape the future. Key challengers for your Oracle users are: Capturing vast amounts of enterprise data requires a powerful and complex system.
Insight Software
MAY 1, 2023
Strategic Objective Create an engaging experience in which users can explore and interact with their data. Requirement Filtering Users can choose the data that is important to them and get more specific in their analysis. Drilling Users can dig deeper and gain greater insights into the underlying data.
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