Systems | Development | Analytics | API | Testing

Hitachi Vantara recently commissioned Forrester Consulting to conduct a Total Economic Impact (TEI) study to examine the value that customers could achieve using cloud and application modernization services from Hitachi Vantara. To better understand the benefits, costs, and risks associated with this investment, Forrester interviewed four decision-makers at companies with experience using cloud and app modernization services from Hitachi Vantara.

The idea of running compute and storing data in the cloud is no longer a novel concept. With the evolution of 5G and Internet of Things (IoT), this brings along the next evolution of edge storage demands. Today, around 10% of enterprise-generated data is created and processed outside a traditional centralized data center or cloud. By 2025, Gartner predicts this figure will reach 75%.

Before you can release your application, you must demonstrate that it functions well and is free of bugs. That proof will necessitate a test plan that incorporates many testing methodologies and employs a range of tests, each of which demonstrates that some component of your application is ready to be deployed. If you're searching for testing tools, you'll want one that supports as many of these testing methodologies as feasible (such as TestQuality).

When talking about API integration, the matter of API rate limiting is unavoidable. Researching what the rate limits of the APIs you’re going to ‘consume’ in your integrations are should be part of your overall preparation for the development of your project scope. It is also a crucial detail to know when you will be designing your integrations; rate limits will define early on what mechanism you need to implement to avoid hitting them in the first place.

Tech leaders debate why SQL is the lingua franca of data analysis, the unbundling and rebundling of software and emerging trends in data governance within the modern data stack space.