Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.
When creating new cloud-native applications, developers need to choose the development and deployment methods that best serves their application's needs and purpose. At the same time, organizations are always looking to optimize their cloud budgets and efficiency. Two popular deployment strategies are Function as a Service (FaaS) and Container as a Service (CaaS). Perhaps you've heard about them!
If you’re a developer, a web designer, or a QA manager, you would want to ensure that your product delivers as promised. Today’s customers expect the highest standards of user experience. Anything less is grounds for disappointment and even lost business. Facebook’s mobile device testing lab at the Prineville Data Centre is equipped with Android and iOS devices that test Facebook applications and Instagram.
inReality provides an analytics platform that leverages IoT sensor data (for example, visual technologies) to bring operational excellence and exceptional customer experiences to all types of venues. The company’s clients range from public schools to major telecommunication companies with the goal being to make their spaces more secure and efficient, to solve problems, and to create better experiences for their patrons.
Artificial intelligence (AI), automation and machine learning (ML) are rapidly transforming the analytical experience for everyday business users in 2021. Whether it’s automated visualizations, continuous analysis, or reduced time-to-insight, there are many practical benefits of augmented analytics that are well documented and fully realized today.
Businesses today have a growing demand for real-time data integration, analysis, and action. More often than not, the valuable data driving these actions—transactional and operational data—is stored either on-prem or in public clouds in traditional relational databases that aren’t suitable for continuous analytics.
Every year, the number of hours people spend online keeps increasing. Our needs are met online instantly. As mobile device usage is growing, the time spent on it is also increasing. Today, if I list what these mobile devices are doing, it will be very amateurish and naive. The usage of smartphones has increased because of the interesting mobile apps installed on them. Therefore, it becomes imperative to make an app bug-free and enjoyable.
The data lakes concept has come back into popular focus with Amazon Athena, an innovative, serverless solution. But does it fit into your organization’s data stack? This article covers Amazon Athena capabilities, pros and cons, competitors, and use cases.
