Since the introduction of the Internet of Things (IoT), businesses have unlocked vast amounts of data. IoT comes in various sensors that can detect temperature, soil, motion, air quality, etc. All these sensors transmit data over the internet throughout the day, facilitating interactions between machines, devices and wearables. As this is the first time so much data is being made, companies have questioned how they could be properly stored and analysed. The multiple layers of data collected through these sensors are called big data. They store both structured and unstructured data, neither of which can be processed using traditional techniques due to limited storage capacities and process speeds. Hence, powerful computers are used to find patterns and trends. Big data analytics, in other words, integrates with IoT to collect data and make sense of it with the help of AI and ML. Using it, companies can access hidden insights that were never possible before. This article will explain how big data works with IoT and how their combined power can help the industrial world.
How It Works
The growth of IoT is expected to increase exponentially within the next few years. In fact, a report by McKinsey & Company estimates that by 2025, IoT will have an economic impact of USD 3.9 to 11.1 billion. As more and more IoT devices are incorporated into a business, for example, the more unstructured data that such devices will generate. These are then stored in a big data system which refers to the central location where all distributed databases store data. Next, the data stored is analysed using tools like AI, ML, Hadoop ecosystems and more. The end result is that detailed reports are produced with information specific to the company’s operations. All of this happens in a matter of a few minutes. What all of this indicates is the interrelationship between IoT and big data. The more prominence IoT gains in the industrial world, the higher the demand for big data capabilities.
Four Things Big Data and IoT Are Trying to Tell Companies
With the rapid rate at which IoT devices are incorporated into the business world, the number of ways big data analytics can help companies level up their performance is multiple. Their integration into companies, however, has also forced the industrial world to consider the concerns and drawbacks of the present world. Here are four things big data and IoT is forcing people to think:
The Need For Futuristic Information
What big data has heightened in the past few years is the need to address problems proactively. The most significant advantage of accumulating so much data is making reliable predictions for the future. Big data and IoT help managers predict impending anomalies in asset-centric industries, which could lead to unscheduled downtimes in a factory. By having access to such knowledge steps can be taken to prevent such issues from occurring in the first place. Carrying out routine maintenance at the appropriate time also means IoT and big data help lengthen the life cycle of assets in a factory. From a financial perspective, futuristic insights as far ahead as ten years are generally made possible. However, advanced analytical tools such as Hadoop and Spark are required to ensure data is interpreted accurately.
Cybersecurity
Big data and IoT have also sparked debates about privacy and confidentiality as information is drawn from every part of the world wide web. However, at the rate at which data is growing, it is complicated to protect data at the same pace. Cyber security, in this respect, has been a serious risk that has required vendors to look into more secure encryption methods and find ways to guarantee data is not lost in the event of a breach. Some critical reasons for this are attributed to the security skill gap. Currently, 3.5 million vacant cybersecurity positions need to be filled. Moreover, the evolution of cyberattacks, which has made it challenging to find countermeasures to curtail them and companies’ ignorance of data security standards have heightened the need to look into feasible solutions in this respect.
Fast and Actionable Data
Nothing is more relatable than the phrase ‘time is of the essence’ regarding big data. There is no point in accessing data streams if the actionable insights are not given on time. It would be a loss to your ROI, and the entire point of investing in big data systems will be a waste. Big data relies on NoSQL or Hadoop databases to analyse data in batch mode. However, with the need to gain actionable data faster, stream processing is meant to take centre stage. This will allow big data analytics to be generated in less than a second. Hence, decisions can be taken in real-time. This will enable companies to customise the data they need so that the most accurate and relevant insights are provided.
Cerexio: A 21st Century Technological Vendor and Expert
A technological vendor that harnesses the power of industry 4.0 technology, all of the solution suites offered by Cerexio are advanced by IoT. Hence, with the number of big data centralised into the system, the solutions can capitalise data on user-defined demands and requirements. Using IoT and big data capabilities, Cerexio helps you make a digitally interconnected space for machine-to-machine interoperability whilst gaining critical insights from the vast data being read by the system. It filters, standardise and federates data-tackling tools to help you harness modern technologies and innovative solutions that capture actionable data insights. Cerexio goes beyond other vendors by adding more measures to enable the security protocols to strongly encrypt each device’s data and keep your most critical insights secure. It offers predictive capabilities which eliminate downtime and unnecessary costs or wastage of resources. It provides excellent ROI rates and is a great asset for making intelligent financial decisions.
Connect with us to learn what other technological features support the data analytical process in a digital environment.
IoT and Big Data Have A Tight-Knitted Future
The slightest interaction on the internet amounts to data. An article by Soundarya Jayaraman notes that daily, 2,500,000,000,000,000,000 data is created. Companies that choose what sort of data is most beneficial for them need the right technologies to ensure the complete use of such data is unlocked. Hence, big data and IoT will always work for hand in hand together, striving to find the most actionable data that could help a business generate more sales and profits, build a better reputation, and become an industry leader.
This article is prepared by Cerexio, a leading technology vendor that offers specialised solutions in the Advanced Manufacturing Technology Sector. The company is headquartered in Singapore and has offices even in Australia. Cerexio consists of a team of experts that have years of experience and holds detailed knowledge on a range of subject matters centric to the latest technologies offered in manufacturing and warehouse operations, as well as in predictive maintenance, digital twin, PLC & instrumentation setup, enterprise integrator, data analytics and total investment system.
