What if the very foundation of your organization’s data strategy was holding you back? For years, data lakes have promised flexibility and scalability, yet many businesses find themselves grappling ...

In this discussion, our guests explore how modern data lake architectures, built on AWS, can help your organization adopt FAIR data principles—Findable, Accessible, Interoperable, and Reusable—to ...

The patchwork of data localization requirements, especially across the Middle East and North Africa, have led to innovative ...

Cribl, the Data Engine for IT and security, is debuting its next evolution within Cribl Lake—the turnkey data lake that makes it easy and economical to store, access, replay, and analyze data—with the ...

Data lakes have emerged as a pivotal solution for organisations seeking to harness vast, heterogeneous datasets. This strategy involves storing raw data in its native format in a centralised ...

Data lakes and data warehouses are achieving a measure of success in modern data architectures, but the emergence of the data lakehouse offers new challenges and opportunities for database ...

Traditional data warehouses—once the backbone of business intelligence and reporting—are increasingly misaligned with today’s data demands. The surge in data volume, velocity and variety has exposed ...

In an era where digital transformation and data are the lifeblood of financial institutions, Nikhitha Pesaru stands out as a pioneering leader in AI-driven banking product solutions, scalable data ...