Leapwork CEO Ken Ziegler unpacks why continuous validation is the next frontier for software QA in the wake of agentic AI ...

IBM offers beginner-to-advanced certification courses in high-demand fields, including data science, AI, cloud computing, cybersecurity, DevOps, and software development, with practical project-based ...

The burgeoning world of AI agents has put the value of enterprise data even more into focus. Agents are only as good as their last meal. Feed them stale data, and their given task becomes, as ...

Yugabyte, the distributed AI database expert, is debuting Meko, an agent-native data infrastructure designed specifically for multi-agent AI systems that work and learn together.

The company announced the availability of MongoDB 8.3, building on previous generations of the database software with superior performance aimed at the agentic AI era. To support this, MongoDB added ...

Quick Summary Struggling to ensure reliable data protection and fast recovery across complex enterprise environments? Discover the 7 best cloud backup solutions for enterprises in 2026 that help ...

Among document databases, MarkLogic differentiates itself as an “Enterprise NoSQL” database because in addition to qualifying as a NoSQL database, it has all of the critical features that enterprises ...

The importance of storing, organizing, and using data has increased every year. We are living in a data era where being competitive and agile means being able to manage data from a wide range of ...

Abstract: NoSQL Database Manager Systems (DBMS) are an alternative to analytical systems and have been used in this regard. As analytical systems often use data multidimensional modelling, the ...

This project models user activity data for a music streaming app called Sparkify to optimize queries for understanding what songs users are listening to by using Apache Cassandra. Build up ETL to ...

Abstract: While big data workflows haven been proposed recently as the next-generation data-centric workflow paradigm to process and analyze data of ever increasing in scale, complexity, and rate of ...

This means that today, data architectures must be a combination of different technologies, including data lakes, clouds, real-time streaming, and unstructured data containers, to support these ...