2 min read

4 Major Predictions on the Future of Big Data

4 Major Predictions on the Future of Big Data

Certainly, we all are fond of numbers. And if mention Big Data as huge so is the industry built around it. If we throw light on the industries that Big Data caters to such as services, security, networking, storage infrastructure and analytics it can be seen that the future of big data is brights and it has a number of years ahead of it. And so with Big Data maturing at a humongous pace gives clear implications of the industries changing around it and also the way we as businesses should actually look at it.

With that said the future of Big Data seems pretty bright and undoubtedly can’t be ignored. It has helped leverage the organizations to make smarter business decisions. So let’s get into it as to what this technology has in the store for the year 2018.

Excited to get more insights on Big data? Get your hands on our free e-book.

 

future of big data

What Does Future of Big Data Withhold? 

1. Investments in Big data:

A press release by Gartner in 2016 mentioned that a good 48 percent of organizations invested in Big Data which was 3 percent than the year 2015. Also, IDC predicted in the year 2015 that Big Data technology and service market is growing at 48.6 billion USD in 2019 and is expected to reach $57 billion by the year 2020.

2. Data governance will be a priority:

Until recently the data that organizations produced came with its own set of limitations but thanks to the Internet of Things (IoT) and social happening a lot of data could be produced outside the firewall without any specific control. And thus with high-level data breaches on the rise, Data governance will become a pressing need for all businesses which would predominantly involve protecting enterprise data, where it actually came from, who has access to it and how can it be modified.

3. Data infrastructure will take a front seat:

Back then the whole idea of data for enterprises was consolidating data in the conventional form of warehousing and analytics. But with the bulk and voluminous data pouring in every other day, the organizations will be bound to change or re-evaluate their infrastructure. They will have to take better notes on where their data is actually stored. Whether it’s the data captured and on-boarded the cloud or is placed in a data center.

4. Edge Analytics will see a climb:

With a number of devices connected over the internet is set to reach 30 billion by 2020, Ronald Van Loon, Director of Advertisement (Help data-driven companies generate business value) says “Many devices are generating vast amounts of data that cannot be analyzed”. And he predicts Edge analysis to bring the solution to it.

He further explains that with the rise in IoT enabled sensors that help the organizations to perform real-time analysis at any point where data is generated, “Edge analytics will help companies address challenges related to centrally analyzed data generated from so many connected devices.

So, in a nutshell, it can be a stated that if an organization wants to keep with others, analytics cannot be bypassed and Big data will definitely be the center stage. With all the data collected over the years and maturation in streaming analytics, Big data is certainly bound to grow.

 Want to have project made around Big Data developed? Then reach out to us for a consultation.

 

What are the topmost NodeJS practices for developers?.

What are the topmost NodeJS practices for developers?.

Node.js, a platform based on Chrome's JavaScript motor assists with growing quick, adaptable system applications. It utilizes an occasion driven,...

Read More
PoS System for a retail business to boost growth

PoS System for a retail business to boost growth

What could be the ultimate goal for each business person? Increase the number of sales!!! In any case, driving traffic and offering amazing...

Read More