Growth of Big Data Infrastructure Services

By Jitender Sharma - December 26, 2017

Until the end of 2020, the market for big data infrastructure has a positive outlook. Of late, there has been a surge of structured and unstructured data, leading to the popularity of big data.

Today, in a data driven world, one does not wish to languish at the bottom in regards to technological innovations and the latest trends in big data and analytics.Over the last few years, there has been an exponential growth of big data and last year several organizations gained a lot of traction in their sales by implementing big data intelligently.

In big data architecture, infrastructure is considered to be the cornerstone. Possessing the right tools for processing, storing, and analyzing is important in any big data project.

According to reports, by 2020, the market for big data infrastructure has a positive outlook. Of late, there has been a surge of structured and unstructured data, leading to the popularity of big data.

What is forcing the development of big data?

The tidal wave of big data has impacted several organizations.For example, with the help of Internet of Things (IoT), billions of devicesrooted with smart technology are churning humungous amounts of data. Machines in factoriesexchange conversation with each other, or healthmonitoring devices give importantinformation to providers, etc.
At the same time, social media is producing large quantities of information about people andtheir behaviors. Importantly, all website communicationsare being saved in the CRM systems that system operators don’t have the time to analyze to grow their business.
Rapid growth rate of data results in fragmented data storage
Wheneverdata is available to make strategic business decisions, examining that data to get vital insights ischallenging. That is the reason for enterprise IT teams, hurrying to expand their infrastructure to manage new data needs. But occasionally there isn’t clear systems architecture, to guide the adoption of new platforms. That leads to data in silos, with mismatched data model.
Moreover, disjointed data storage makes it difficult for companies to conform with policies.
That said,businesses should constantly monitor the latest trends of big data and build their own big data infrastructure:
Collaboration of hybrid IT environment and big data

One trend that has gained momentum with numerous enterprises is developing a cohesive set of servicesby synergizing the components of big data with hybrid IT. In the past, large amount of integration was needed at several tiers to provide a wholesome experience, but now applications can be resourcefulby bringing hybrid IT environments and big data on a single platform.

Hadoop and big data are the new business standard

Over the last couple of years, Hadoop has become the coreelement of every enterprise IT landscape. However, it is in its growth stage, the combination of Hadoop and big data is taking shape in several organizations. This partnership makes sense as the governance and security of IT systems in organizations have gained importance.
Adoption of optimum flash storage

The churning of large amount of data coupled with the need to reduce the latency time has forcedbusinesses to move beyond the traditional in-house storage systems. Among corporations, the change in storage pattern is spreading like a flame, managing large volume of data. Flash storage systems have emerged as scalable and cost-effective storage options. Flash storage systems will provide easy storage and transfer thedata to cloud with least latency.

Move from Internet of Things (IoT) to Internet of People (IoP)

With predictive analytics laying razor sharp focus on human behavior, several enterprises are emphasizing on how human interactions are affecting their marketing and sales strategy. This is known as a transition from IoT to IoP. This is considered to be one of the many moves to offer refined solutions through big data to disrupt the market in an inventive manner. 

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