How Internet of Things is Impacting Data Management
In recent times, Internet of Things has been creating radical change in the digital transformation. In order to soothe the insurgency of the reason especially in the data management, IoT will be churning out the high-value and target-rich data over the next decade.
In the past decade, we witnessed how the world got widely ingrained with the Internet-connected devices, especially smartphones, tablets and iPads. Way back in 2008, there were more Internet-enabled devices available in the market than people in the world. The following table illustrates the incredible evolution of the Internet from 1995 till the present time and you will realize how the world has gradually progressed in digital transformation:
The first mock-up of a handheld mobile phone was proposed in 1973, but it took more than 30 years to present a fully functional mobile phone to the world which could become accessible and affordable for people from all walks of life. In 2017, the record number of the global mobile connections reached around 8.24 billion. The statistic below shows the number of mobile connections worldwide from 2008 to 2020.
The graph illustrates the number of mobile connections worldwide used from 2008 to predictive analysis until 2020.
Internet of Things & the probable data explosion
Image source: banyanhill.com, semiconwest.orgGartner has predicted that there will be 26 billion non-PC and mobile devices connected to the Internet of Things (IoT) by 2020. IoT will connect everything right from thermostats and cars to medical diagnostic instruments and basketballs. Click To Tweet
The above statistic depicts the number of devices connected through the Internet of Things services worldwide right from 2015 to 2025. It is estimated that in 2020, the IoT solutions and services will grow to almost 31 billion worldwide. The all-embracing IoT service offerings market is projected to be worth more than one billion U.S. dollars annually from the next year i.e. 2018 onwards.
As per Cisco’s estimation, Cisco Digital Ceiling (the interconnected IoT) could integrate up to 50 billion devices by 2020, while IDC shoots for the moon with an estimation of a whopping 212 billion devices by the IoT service providers. Despite being super-colossal, these staggering figures only scratch the surface. This newfangled advancement is deeply altering the data management in discerning and compelling ways.
Enterprises have been using data management for almost 20 years now. However, it had somewhat remained dormant until the inception of the Internet of Things service offerings. As digital transformation has taken over the IT industry, entities are now changing expeditiously with almost every company getting transpired by the IoT. The progressive IoT solutions and services have completely altered the way data management used to be taken care of earlier.
These days, industry giants are using an amalgamation of execution plans and hardware configurations with the help of AI and machine learning platforms in order to curb data management. Subsequently, the Internet of Things service providers have by far connected whopping 28 billion devices, which is 10x higher than earlier connectivity phases.
Two years down the lane, people can access the Internet from anywhere and can literally transform any medium say cars and bracelets into connective devices (p.s this is just a theory). With 2.5 billion people already using smartphones this year and 5 billion smartphone users estimated by 2019, a deluge of futuristic big data’s insurgency is indeed the call of the hour.
The demeanor of the Internet of Things could be even more influential than just being what is known to be the interconnection of computing devices. Given a chance, IoT can transform into a tsunami that unleashes mammoth-sized data. The IoT service providers are never going to sleep, for the fact billions of online-enabled products will become data collectors thereby producing an overflowing of information. This constant flood of data could educate the businesses about the real-time context and customers’ expectations and preferences. This brings us to the most concerning question –
How can companies still harness all this potential through Internet of Things without drowning?
The self-explanatory Internet of Things solutions
1. Using IoT data management to collect & centralize big data
It is not a child’s play to collate and centralize big data. Unlike uniform data sequences which can be effortlessly infused into spreadsheets; big data derives information from heterogeneous sources with the help of proposed models, rewritten programs, advanced software, hardware and the newest technologies. The big data demands quite complex methods of data collection such as automated reports, sensors, and trend analysis etc. Since several big data projects are running across the world, advanced frameworks and technologies have been created to boost the storage capacity, parallel processing and real-time analysis of different heterogeneous sources.
And with such a myriad of information flowing across different alleys, the big data engineers are now integrating IoT data management so as to cut off the downtime and cost alike.
Realizing the vastness of the data storage, enterprises have started adopting Internet of Things-enabled PaaS (Platform-as-a-Service) models. For professional help, they approach a cloud-based solution from IoT experts such as Athena, as opposed to the traditional way of relying upon the old data storage framework. Unlike, the conventional workflow systems that demand frequent updating, IoT services companies like Athena will enable your business with a comprehensive IoT data management solution that includes expansible, compliance, and a tailored framework offering space for the outright IoT data.
2. Choosing the right storage architecture for the Internet of Things-enabled big data
Big data storage architecture usually falls into four categories –
- Widely distributed nodes
- Scale-out network-attached storage
- All-solid-state drive arrays
- Object-based storage
Different types of distributions and technologies have been developed to face the complex challenges of big data. In order to adopt the right combination of the big data technologies, the companies should first understand the different system layers of big data such as –
- Data storage layer
- Data processing layer
- Data querying layer
- Data access layer
- Management layer
Even after using the traditional and modern technologies alike including New Technology File System and File Allocation Table architecture, the enterprises have failed to maintain their own compound servers. This is when the Internet of Things comes into play. IoT data management devices are designed specifically to assemble and manage those servers along with the massive data in real-time. Big data architecture technologies are also capable of developing intuitive data storage models and automating decision-making jobs.
They are efficient enough in capturing and manage those servers along-with the mammoth-sized data in real-time. They also create intuitive data models and automate decision-making jobs. These advanced Internet-of-Things-enabled file frameworks and OS witness a paradigm shift in the way techies approach the field of data management.
The Internet of Things will be accountable to the countless analysis and buzz, the more it unfolds its influence to the world. A progressive approach by keeping up with the innovation and research will be as challenging as maintaining an enterprise’s current technological gizmos. Only a few industry players will stand apart, provided they believe in mutation. Hype aside, the Internet of Things services’ influence is already established, and it is only going to expand in the coming years.
Companies should continue focusing on the necessary call to action and functions of their Internet of Things platforms. And they can do this by adopting a methodical approach that breaks down what is prerequisite, obtainable, and superfluous. By this way, they can oversee the approach and create transparency for the structure of the ideal platform.
If you have something to add or share on how Internet of Things is going to prevent the plausible data explosion, do share your views in the comment section below.