Big data and cloud development services can be daunting. Technologies, frameworks, platforms, languages and techniques can include Microsoft Azure, Amazon AWS, Hadoop, Amazon Redshift, Spark, Cassandra, Parquet and others. If your internal IT team is undertaking big data and cloud development, the organization may find itself mired in complex collections of technologies.
Twenty years ago, terms like Big Data Solutions and Cloud Migration were alien terms. But, today, every enterprise is knee deep in Big Data and Cloud Development and, if they are not, they are way behind the times and at risk of losing their competitive edge.
Information is power. We all know it. But, in today’s crazy, information overloaded world, it is hard to manage the mountains and rivers of data. If you haven’t heard, the Cloud is a way to store and manage data and make it accessible from anywhere. But, this seemingly amorphous, technology concept that leaves many organizations wondering how to incorporate its potential into the enterprise strategy and technology infrastructure.
Cloud is no longer difficult for people to understand, express or accept. There were initial regulations and what not’s that did not make it through for cloud computing to become the stable of almost 95% of enterprise consumers.
If one looks at how everything started, thing were not looking good for cloud. The first and most basic issue for cloud computing was to make sense of the benefits they had to offer.
For those who did not understand that cloud was working in their benefit against a home grown full-fledged operation that runs through fully owned server farms.
Cloud+Mobile+SaaS
How to develop a cloud based mobile application that is also a Software as a Service? What if you can build it for say less than $2000.How is it even possible?
Good question.
Let us find out…
