article thumbnail

Agile Requirements Management Part 3 – A Collaborative Data Model

BA Times

In this article I want to explore how to integrate data requirements with product features and user stories; the result is some very useful traceability to where a particular data entity or attribute is being used across a product.

article thumbnail

Agile Data Modeling with MySQL Document Store

Agile Connection

Agile data modeling involves a collaborative, iterative, and incremental approach to data modeling. In this article, we discuss how MySQL Document Store could be used for agile data modeling.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

The End of Agile – Part 3 (What Is Agile Really?)

The Data Administration Newsletter

In the first article, I laid out the basic premise for this series: an examination of how Agile has gone from the darling of the application development community to a virtual pariah that nobody wants to be associated with, and an exploration of the very important question of what we should replace it with. We […]

Agile 98
article thumbnail

Enabling Change with Data Modeling & Forecasting

Leading Agile

Our guest, Troy Magennis, has been described as a national resource in the Agile community. He’s a published author and frequent speaker on forecasting and modeling Agile projects. Together, we’ll explore some ways the industry gets metrics and forecasting right and where it tends to go wrong.

article thumbnail

Putting the Business Back Into Business Innovation

Timo Elliott

Everybody wants to innovate faster, to be more agile, to be able to react quickly to changes in today’s uncertain business environments. The industry analysts all have a similar vision of what that agile future of business looks like. So how do organizations do that? So innovation has to mean business! Business Process.

article thumbnail

Why You Should Care About Data Modeling

The Data Administration Newsletter

Many software developers distrust data architecture practices such as data modeling. They associate these practices with rigid and bureaucratic processes causing significant upfront planning and delays.

article thumbnail

Here’s Why Automation For Data Lakes Could Be Important

Smart Data Collective

From the excitement of goals set by CEO’s and CIO’s about what their Big Data lakes would be able to do, data scientists were starting to find it difficult to use them in real-world applications. Data lakes were designed to be agile and provide analytics data on the fly while processing incoming data at a remarkable speed.

Big Data 266