Scrum Agile Project Management

How Cloud Data Platforms Can Allow Software Developers To Be Even More Agile

Data platforms are becoming more necessary for software development than ever before. However, with the rise of new technologies, the way developers interact with these data has changed as well.

Author: Aiden Smith

Today’s developers don’t just want access to data. They want the ability to work on it as quickly as possible and build reliable and trustworthy software. This is where agile software development is key.

Agile software development is the practice of creating software in short development cycles to rapidly deliver a working product. It is used to develop complex enterprise applications, such as CRM systems, ERP systems, or other project management tools.

How Cloud Data Platforms Can Allow Software Developers To Be Even More Agile

How Cloud Data Platforms Help In Agile Software Development

Cloud data platforms provide developers the agility to be productive and meet deadlines. With cloud data platforms, companies can:

1. Modernize their data architecture.

A post on what is a data platform explains how cloud data platforms are designed to make it easy for Agile software developers to access and use multiple data sources in a single place.

This makes it simple for companies to modernize their infrastructure and move their workloads into the cloud, where they can take advantage of automation options — such as using machine learning — that will help them deliver better products faster.

The flexibility of these platforms also allows users to deploy databases with varying performance requirements without having to buy different hardware or software.

2. Collaborate more effectively.

Cloud platforms also make it easier for developers to collaborate, regardless of where they are located in the world.

This helps them build better products more efficiently, since it eliminates time-consuming issues related to communication between team members who aren’t working together in office environments.

By allowing teams from diverse geographic locations to work on projects together, cloud-based data management solutions also help support global product development efforts.

3. Work smarter with machine learning capabilities.

Machine learning algorithms allow developers and other users of cloud data management solutions to quickly analyze vast amounts of information and extract key insights that can be used as part of a product design or marketing campaign.

These algorithms analyze large sets of unstructured or semi-structured data — such as text — and automatically extract information related to a specific topic or issue that is being examined.

This process is commonly referred to as “natural language processing,” and it can be used to analyze customer feedback on social media, product reviews, and other information that can help a business improve its offerings and build stronger customer relationships.

4. Free up their time with cloud data management solutions.

Cloud data management solutions make it easier for developers and other users to access information stored in the cloud, reducing the time needed to find, analyze, and use that information.

For instance, users can use drag-and-drop features to quickly upload files stored on their local drives directly into the cloud. They can also access all of their data from a single location using a single login — making it much easier for them to share files and collaborate on projects with other team members.

5. Work with data from any device at any location.

Cloud-based data management solutions are designed for use across multiple devices, such as laptops or mobile phones — giving users greater flexibility when working with this software.

A user might want to access information from a mobile phone while on the go. By making it possible to access data from any location, cloud-based solutions can help teams avoid having to special order equipment or make other costly adjustments just to store and access information.


Although some businesses may be reluctant to transition to cloud-based data management solutions, the advantages are clear. This approach can help Scrum teams get up and running quickly, make it easier to collaborate with other users, responding to change, and improve access to information.

About the Author

Aiden Smith is a keen developer who has a minor obsession with productivity hacks. He also likes writing about how the cloud has helped him streamline his workflow and is always on the lookout for new technologies that make his life easier.