Co-authored by Shamnad Mohamed Shaffi of Amazon Web Services, Sunish Vengathattil of Clarivate Analytics, and Jinal Mehta of Amazon, the study explores how a cutting-edge data lakehouse architecture ...

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 ...

Explore how Lakehouse and LakeDB models are shaping data architectures for autonomous AI systems, ensuring governance and ...

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 ...

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 ...

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 ...

An iceberg is a piece of ice broken off from a glacier that floats freely in open water, and this definition also provides an appropriate name for the database table format project Iceberg.

As more organizations implement large language models (LLMs) into their products and services, the first step is to understand that LLMs need a robust and scalable data infrastructure capable of ...

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 ...