Kunal Agarwal, CEO and co-founder of Unravel Data, discusses the redefining of Hadoop’s role in the Spark and Kafka era of big data
The cloud may pose a number of questions but SaaS (Software as a Service) can provide an affordable, efficient solution tailored to a business.
New research suggests that a multi-cloud future will require new innovations in cloud security as organisations favour many providers, increasing the risk of sensitive data disclosures
AI requires data: lots of data. The way we store that data in future may change, as cloud and edge computing develops. What does the future for AI data storage?
As our appetite for consumer electronics grows, and the average lifespan of a device gets shorter, we face a mounting problem. China, no longer the world’s dumping ground, is attempting to tackle their e-waste problem head-on.
As human beings, we mentally separate digital from reality. The cloud has consequences though. Servers take up space. The internet has a carbon footprint.
VHS replaced Betamax. This was replaced by DVD. Then came Blu Ray, then digital. Nothing is static in technology: some believe cloud computing is endangered.
New technology poses questions over existing models. Just as cloud technology asked questions of our data, edge computing is now challenging cloud’s relevance.