When you live in a data driven world, the last thing you want to do is to lag behind the curve with regards to technological innovations and latest trends in data analytics and big data. Big data has gone huge, and there is hardly any major organization which has been left untouched by the ‘big data wave.’ Last year many organizations did gain a lot of traction in their sales by adopting big data intelligently. The result – data is the competitive advantage which every business, intent on growth, should possess. Businesses should keep tabs on the latest trends in the sphere of big data and use it to build their own big data infrastructure.
# Trend 1
Synergy of hybrid IT environment and big data
Developing a single integrated set of services by synergizing the elements of big data with hybrid IT is one trend which has picked up with several enterprises. While in the past huge amount of integration was required at several tiers to deliver a complete experience – applications can now be supremely versatile by bringing hybrid IT environment and big data on a single platform. This trend seems to be feasible since data analytics is gradually moving towards an end to end integration with infrastructure as a service.
#Trend 2
Hadoop and big data are the new business standard
Over the past few year, Hadoop has turned in to be the core element of every enterprise IT landscape. Though still in its growth stage, the marriage of Hadoop and big data is a natural process as affected by many organizations. This partnership makes more sense as governance and security of IT systems in organizations have gained higher prominence.
#Trend 3
Adoption of optimum flash storage
Generation of huge amounts of data along with the need to bring down the latency time has forced organizations to move beyond the traditional in-house storage systems. Change in the storage pattern is one trend which is spreading like wildfire among corporations dealing with huge volumes of data. Flash storage systems have emerged as highly scalable and cost-effective storage options. And, even though cloud remains the most preferred choice, it is flash storage systems that will help in easy storage and transfer of data to the cloud with least latency.
#Trend 4
Metadata catalogs
Finding the right formula to filter out the data in the most effective manner possible is a major challenge for businesses. No doubt big data brings a huge volume of data to the table, but organizing this data in a meaningful manner is a mammoth task in itself. Metadata catalogs are one element which help organizations cut out the junk data and build strategies which add value to the business plan. The self-service tools employed by metadata catalogs bring forth the relationships between various data assets – turning metadata catalogs into a major trend to look out for.
#Trend 5
Move from Internet of Things (IoT) to Internet of People (IoP)
With predictive analytics focusing more on human behavior, a lot of enterprises are focusing on how human interactions are influencing their marketing and sales strategy. Industry experts call this trend as a move from IoT to IoP. This is one of the many moves to provide sophisticated solutions using big data to disrupt the market in the most innovative way possible.
As these five trends are all set to redefine the architecture of big data infrastructure – one needs to keep in mind that ‘every technology that works is not magic.’ So, to expect big data to create miracles out of thin air will not only be unrealistic, but it will also be a waste of time and resource for the enterprise.
