In an era where data is a strategic asset, organizations often falter not because they lack data—but because their ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

Efficient query execution is critical for real-time, pipeline-free architectures, and in-memory columnar processing is innately suited for OLAP workloads. This results in the ability to process larger ...

That architecture, with the automation furnished by the other aspects of the solution, has the potential to reshape data engineering from a tedious, time-consuming discipline to one that liberates ...

Founders: Aerospike Founder and CTO Srini Srinivasan explains why real-time data architecture is crucial for scaling AI, enhancing CX, and staying competitive in the AI-driven enterprise era.

Data engineering teams have struggled to keep up with the demand for real-time data sets for machine learning applications. Data integration and migration can be a manually intensive and complex ...

Informatica’s reengineering of its IPaaS cloud service provides a good example of how cloud-native architecture can transform traditionally monolithic, silo’ed enterprise data and application ...

Through His extensive work in real-time data pipelining, Girish Ganachari has demonstrated the importance of prioritizing fault tolerance, scalability, and automation in modern data systems.