Similarly, database needs have changed; between demands for scalability and performance, microservice architectures, ACID transactions, and storage efficiency, it’s undoubted that modern needs for ...

Generative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in mind, technical professionals must strive to enhance and modernize ...

The momentous transformation putting data managers and their systems at the helm of modern enterprises has only begun. Industry leaders and experts agree that it’s critical for data managers and team ...

There are many ways to describe a database: the role it plays in a distributed architecture, the various internal components that make it work, and the various levels that define specific roles and ...

The headless data architecture is the formalization of a data access layer at the center of your organization. Encompassing both streams and tables, it provides consistent data access for both ...

Software is called "multi-tenanted" if a single instance can serve multiple tenants, and multi-tenancy is often referred to as an application "architecture." Cloud-native technology is challenging ...

IBM's $11B Confluent acquisition completes its hybrid cloud stack, with Kafka streaming joining Red Hat and HashiCorp for ...

When it comes to business information, chief information officers (CIOs) and chief data officers (CDOs) are tasked with bringing order to chaos. As firms gather ever more data, they face both ...

Enabling your existing “pre-cloud” enterprise applications to take full advantage of cloud computing is fraught with technical obstacles, such as unsupported versions of operating systems (OS), ...

The evolution of software architecture is contributing to increasing energy consumption.

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.