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 ...

A new book “Data Lake Architecture – Designing the Data Lake and Avoiding the Garbage Dump” by the father of the data warehouse Bill Inmon is a simple, high-level introduction to this popular data ...

Data lakes have become the cornerstone of many big data initiatives, just as they offer easier and more flexible options to scale when working with high volumes of data that’s being generated at a ...

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.

Traditional data architectures are rigid and siloed, limiting agility, experimentation and the cross-domain insights required ...

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 ...

As organizations look to build out more complex digital frameworks, breaking down data silos is essential. But there’s a catch: As data analysts, data scientists and others work across various groups, ...

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.

When tech giants like Netflix and Intuit adopted the data mesh architecture, it looked like the next big thing. A few short years later, disillusionment has set in, with companies turning their backs ...

Cloud data engineering and enterprise-scale analytics is evolving field in India. Arun Ayilliath Keezhadath has made a notable and practical impact in it. With nearly two decades of experience in ...