Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

In hyper-competitive streaming, platforms win or lose based on the strength of their data and AI infrastructure. Few leaders have shaped this foundation as directly as Manoj Yerrasani, who oversees ...

The IT tech company plans to use Confluent’s data stream platform to drive AI deployment and governance and analysis for ...

IBM is betting $11 billion that real-time data infrastructure will become as critical to AI deployments as databases were to enterprise applications. The company's just-announced acquisition of ...

From cloud data warehouses and lakehouses to real-time data processing and streaming, the data architecture landscape continues to evolve rapidly. Right now, the majority of DBTA subscribers have ...

2024 was a year of cutting-edge technology going mainstream. OpenAI became a household name, Apple’s Vision Pro landed on the high street, and quantum computing came a step closer to real-world ...

Using workarounds to pipe data between systems carries a high price and untrustworthy data. Bharath Chari shares three possible solutions backed up by real use cases to get data streaming pipelines ...

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 ...

Semiconductor chips have been evolving to meet the demands of rapidly transforming applications, and so has the test technology to meet the test goals of those chips. Going back two decades or so, the ...

Data integration is a leading priority for enterprise executives, with 82% of senior executives considering scaling AI a top priority. However, this ambition is frustrated by the longstanding practice ...

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.