Cloud Tech News

The recent VMware Forum 2013 in London provided a platform for VMware EMEA chief technologist, Joe Baguley, to reveal how VMware is addressing the challenges of transforming IT to an as-a-service paradigm. This transformation is based on three key pillars.

Actian, the vendor formerly known as Ingres, has suddenly put itself on the map through rapid-fire acquisitions of Pervasive Software, ParAccel, and Versant Software. Actian's goal is to assemble a mini-stack that includes a data integration engine and different data platforms for different transactional and analytic use cases.

Few topics have lately drawn more hype and scrutiny than Big Data. Having originated with Internet firms, Big Data has captured enterprise attention with examples that show how organisations, from public sector to financial services firms, telcos, and media derived insights that improved customer retention, operational efficiency, and risk mitigation.

Cloud, SaaS, big data, fast data, NoSQL, PaaS...while this economy cannot produce jobs, it can definitely produce jargon at the speed of light. What I wanted to know was what, then, does NoSQL give me from a business perspective?

Oracle recently held its third annual Industry Analyst World conference at its Redwood Shores headquarters, and it came as no surprise to Ovum that business analytics featured as one of six major track themes (aligning nicely with Big Data and Analytics Super Theme for 2013). Oracle's business intelligence and enterprise performance portfolio is undoubtedly impressive in both breadth and depth...

The term Big Data is going to become a key part of the forward-looking business technology debate among informed, proactive and ICT savvy executives. But what's really driving the growing demand for meaningful solutions? While most companies are collecting, storing and analysing data, they continue to struggle with both the business and IT challenges of Big Data -- more data is not necessarily better.

Over the last five years a number of new technologies that provide huge technological advantages (and create management headaches) have been developed. We have attempted to leverage these advances to the benefit of our organizations, while at the same time struggling with how to incorporate them into our established IT management methodologies.

Starting from data model design, MaaS might guide the DaaS (Database as a Service) lifecycle, providing data granularity and duty rules: as a consequence, MaaS implements the new concept of Small Data.