Cohere is among WEKA's first customers to deploy NeuralMesh Axon to power its AI model training and inference workloads.

Agentic mesh architecture takes automation a step further by enabling businesses to automate the full life cycle of data engineering. From building and testing to deploying and monitoring, this ...

Data mesh solves the challenge of forcing all of an organization’s data into a single, inflexible location. When businesses adopt that architecture, they end up with a one-size-fits-all approach ...

During power-down, sequencing maintains data integrity by giving memory and storage devices enough time to save data or complete operations before losing power. Figure 3 provides a design example for ...

Understanding the differences between data mesh, data fabric, and data virtualization can help organizations turn scattered data into a strategic advantage.

What is Data Mesh? Data Mesh is a conceptual framework developed by Zhamak Dehghani in 2019. It solves the challenges of scaling a data platform by proposing a decentralized approach, including the ...

Dr. Shivani Rai Gupta, Chief Data Scientist at JIO, discusses the importance of equitable data access across departments. "With interdepartmental data, it rests in different places.

With the majority of DBTA subscribers reporting the existence of budgets for modernizing their data platforms, the widespread demand for greater scalability and agility becomes a difficult task to ...

Big data platform startup dbt Labs Inc. said today it’s reinvigorating its flagship dbt Cloud offering with new enhancements and capabilities that it says will enable every employee to ...

For one, some data mesh vendors are getting VC attention — including (but not limited to) Nextdata. Nextdata today announced that it raised $12 million in a seed investment led by Greycroft and ...

Additionally, Data as a Product is a critical foundational pillar for the new-age Data Mesh architecture, which is what organisations are moving towards to build Data in their DNA ...