FIVE THINGS TO WATCH OUT IN BIG DATA
Big Data: There are a lot of definitions tossed around, but, what each term has in common is that big data deals with the huge volume of unstructured data created from a business process.
Big data is like a puzzle. Put it together in a way that works for your organization, and you can help it thrive. In this article, we will let you know the five things you need to watch in big data.
UNSTRUCTURED DATA GROWTH:
Unstructured data volumes – composed of things like human information from social media, video, audio, and images, machine sensor data, Internet of Things data (IoT), and business data in various formats of work documents will continue to grow at a breath-taking rate. According to the research by Gartner, IoT data, excluding PCs, tablets, and smartphones will grow to 26 billion connected devices by 2020. Organizations will increasingly seek solutions that can tie structured and unstructured data sources together and generates connected media from social media and video analytics. This will give greater context to the structured data that most organizations have come to rely on.
YOU WILL NEED A NEW EXPERTISE FOR BIG DATA:
Are you setting up a big data analysis system? Then your biggest hurdle will be finding the right talent who knows how to work on the tools to analyse the data. Big data relies on solid data modelling. Organizations will have to focus on data science. They have to hire statistical modellers, text mining professionals, and people who are specialized in sentiment analysis. This may not be the same skill set that today’s analysts versed in business intelligence tools may readily know.
Another skill you need to have on hand is the ability to brawl a large amount of data needed to store and parse the data. You may need to hire a few supercomputer administrators from the local universities or research labs.
THE CLOUD WILL PLAY AN IMPORTANT ROLE:
Most of the data sources for big data are outside the firewall and inside the cloud. This includes external social media such as Facebook and LinkedIn, as well as internal social media sources such as Chatter. Because the speed of analysis on a larger set of data set is a key consideration. Big data analytics require unique infrastructure such as Hadoop or SAP’s HANA which is less likely to have an in-house environment.
There is no requirement for you to invest in an infrastructure – it can all be delivered as services from the cloud. As a result, in many cases, it is always better to go with a cloud-based big data model, so that you can enjoy the benefits without purchasing the unique infrastructure and without needing to worry about hiring specialists to manage the infrastructure.
BIG DATA WILL CHANGE IT OPERATIONS:
Companies who “get” big data are going to apply big data principles and practices to their internal IT operations first and foremost. Big data analytics plays a vital role in identifying IT security threats, which are continually growing and evolving. It also delivers connected intelligence across IT operations domains, generating insights which drive innovation and critical business advantage. This process will rejuvenate the traditional services desk, and the transformation to a big data service desk will bring business capabilities to deliver service anywhere.
MORE FOCUS ON SOLUTIONS, NOT JUST TOOLS:
There will be an increasing focus on integrated solutions for big data in 2016 – not just products, services, and tools. Organizations will look to combine and integrate their tools and platforms for information management, analytics, search, and for other applications.