What Strategic Decisions to Consider for Cloud Repatriation
As more companies consider cloud repatriation, they must grapple with strategic decisions and considerations.
Cloud data platforms are public or private cloud software systems built and operated with the primary purpose of managing data on the cloud.
As more companies consider cloud repatriation, they must grapple with strategic decisions and considerations.
Confluent’s latest data streaming report uncovers insights into just how important data streaming is for business goals and operations.
Hyperscalers have doubled the number of their facilities in the past five years, underscoring the rapid growth in data center infrastructure.
The implementation of analytics and AI solutions on top of cloud computing services allow businesses to do more with the data they are collecting.
Taking a second look at Gartner’s ESP market report could allow businesses to begin navigating the event streaming landscape successfully.
In the digital marketplace, AI, 5G, and edge cloud services can work together to provide service continuity, as well as opportunities to collaborate and offer new and innovative services.
Find out what new statistics say about why organizations are choosing public, private, hybrid, or multi-cloud infrastructure.
With stream processing flipping the data processing paradigm from store then process to process then store, the critical capabilities to evaluate when building streaming applications are vastly different from those for batch. Here we discuss the available choices for building streaming solutions and a high-level guidance for selecting them.
The landscape of business in 2023, 2024, and beyond is marked by the relentless growth of data, which has propelled the demand for efficient data management to new heights. Cloud technology and Generative AI stand as indispensable pillars in meeting this challenge and driving business success.
As is the case in other industries, travel industry businesses do not have the time or resources to manually cobble together data pipelines for every use case and every application as each emerges.