Alinta Energy has gradually replaced most of the Azure-based services that once powered its data architecture with Databricks ...

It is a simple query, devilishly so, one that data and AI governance programs are well served to consider. It's a larger conversation that got me thinking about the work that is unsung, if not ...

Handling massive amounts of data in real-time has become a priority for businesses in almost every industry. Traditional ETL (Extract, Transform, Load) processes, which rely on batch processing, are ...

Saurabh Gandhi is Business Intelligence Senior Engineering Manager with 18 years of experience in transforming complex data ...

All the large language model (LLM) publishers and suppliers are focusing on the advent of artificial intelligence (AI) agents ...

Global auto manufacturer deploys virtual private cloud environment platform to deliver enhanced automation, reconfiguring production line to accommodate a product mix change and scale compute and ...

Table of Contents Introduction The Evolution of Data Architecture Defining the Data Lakehouse Key Components of a Data ...

In this modern era, the Microsoft Fabric Data Warehouse, enhanced by the Polaris analytic engine, is at the forefront of ...

In the ever-expanding landscape of big data, Python and SQL have emerged as fundamental technologies driving innovation in ...

A data warehouse is traditionally the go-to architecture for structured data ... The rise of the data lakehouse signals a new era in data management, one that challenges traditional paradigms while ...

Nvidia is also marketing Blackwell Ultra as a sizable upgrade for users of its older "Hopper" architecture, promising a 50-times “increase in data center revenue opportunity.” Amazon’s AWS ...