Connecting Big Data and IoT

Connecting Big Data and IoT

Data Connection

Big Data and the Internet of Things (IoT) are two of the most discussed tech topics of late, and the progress of each eggs the other on; as the increasing amount of information collected due to an expanding range of IoT devices bulks up Big Data stores, so Big Data and Big Data analytics influences the designs and developments of new IoT sensors and mechanisms. Often working hand in hand, IoT and Big Data are changing our lives in big and small ways across a variety of sectors from healthcare management, to education approaches, to marketing and advertising.

The Elementary Connection

IoT, a quickly expanding compilation of internet-connected sensors, involves the multiple measurements obtained by device sensors which track our daily lives. These measurements are the Big Data so coveted today, large amounts of both structured and unstructured information typically obtained in real-time. It is important, however, to recognise that not all Big Data holds equal value and the tools used to process it play a significant role in the final value. To get the best out of IoT and the Big Data it collects, organizations struggle to access high-value and relevant data that is current, reflecting an adequately-sized information footprint, and able to provide necessary insights through analysis. This is easier said than done, and so far much of the data we collect isn’t able to give us considerable value.

What a Lot We’ve Got

DataStorm-comic-cloudtweaks

Gartner predicted 6.4 billion connected ‘things’ would be in use in 2016, and expects this number to reach 20.8 billion by 2020. In 2016, Gartner contends, 5.5 million new things will be connected each day. With the cost of sensor technology steadily decreasing, as well as developments in low-power hardware and spreading wireless connectivity, it’s no wonder we’re seeing such an explosion of IoT devices. On the other hand, there was really no shortage of Big Data before IoT technology became popular, and analysts predicted in 2012 that we’d see our digital universe, the digital data created, replicated, and consumed in one year, doubling every two years to reach 40 zettabytes by 2020. This enormous number has since been revised by some to approximately 10% higher than the original prediction. An even more astounding prediction came from Cisco, estimating that data generated from Internet of Everything devices (including people-to-people, machine-to-people, and machine-to-machine connections) would hit 403 zettabytes by 2018.

Big Data & IoT Disruptions

Such enormous quantities easily leave one feeling overwhelmed, and though it’s fairly obvious that Big Data and IoT will be disrupting our landscape, it’s almost too much to comprehend. Luckily for us, some brilliant data scientists and developers have simplified the processes for us and by implementing effective tools we’re seeing the positive outcomes in improved global visibility, more efficient and intelligent operations, and improved market agility and business systems through real-time information and insight.

The realm of influence of Big Data and IoT is already large, but to effectively meet expectations a few challenges will have to be dealt with. Standardisation is one area with no clear solution as the increasing number of devices comes with a growth in the applications and programs required to operate devices and analyse collected data; most IoT devices don’t work together, and their manufacturers are hesitant to join forces with competitors. Furthermore, we’re still waiting for a single framework which allows devices and applications to securely exchange data. Suggests OneM2M, “The emerging need for interoperability across different industries and applications has necessitated a move away from an industry-specific approach to one that involves a common platform bringing together connected cars, healthcare, smart meters, emergency services, local authority services and the many other stakeholders in the ecosystem.” Further barriers include concerns for privacy and security of data, as well as relevant skill sets and practical analytics tools.

The Big Data and IoT connection continues to grow and develop, and though not yet delivering everything we’re hoping for, it’s possible to see just how influential these two spheres will be in our future lives.

By Jennifer Klostermann

About Jennifer Klostermann

Jennifer Klostermann is an experienced writer with a Bachelor of Arts degree majoring in writing and performance arts. She has studied further in both the design and mechanical engineering fields, and worked in a variety of areas including market research, business and IT management, and engineering. An avid technophile, Jen is intrigued by all the latest innovations and trending advances, and is happiest immersed in technology.

View All Articles

Sorry, comments are closed for this post.

Comics
Three Factors For Choosing Your Long-term Cloud Strategy

Three Factors For Choosing Your Long-term Cloud Strategy

Choosing Your Long-term Cloud Strategy A few weeks ago I visited the global headquarters of a large multi-national company to discuss cloud strategy with the CIO. I arrived 30 minutes early and took a tour of the area where the marketing team showcased their award winning brands. I was impressed by the digital marketing strategy…

Do Not Rely On Passwords To Protect Your Online Information

Do Not Rely On Passwords To Protect Your Online Information

Password Challenges  Simple passwords are no longer safe to use online. John Barco, vice president of Global Product Marketing at ForgeRock, explains why it’s time the industry embraced more advanced identity-centric solutions that improve the customer experience while also providing stronger security. Since the beginning of logins, consumers have used a simple username and password to…

5 Things To Consider About Your Next Enterprise Sharing Solution

5 Things To Consider About Your Next Enterprise Sharing Solution

Enterprise File Sharing Solution Businesses have varying file sharing needs. Large, multi-regional businesses need to synchronize folders across a large number of sites, whereas small businesses may only need to support a handful of users in a single site. Construction or advertising firms require sharing and collaboration with very large (several Gigabytes) files. Financial services…

Virtual Immersion And The Extension/Expansion Of Virtual Reality

Virtual Immersion And The Extension/Expansion Of Virtual Reality

Virtual Immersion And Virtual Reality This is a term I created (Virtual Immersion). Ah…the sweet smell of Virtual Immersion Success! Virtual Immersion© (VI) an extension/expansion of Virtual Reality to include the senses beyond visual and auditory. Years ago there was a television commercial for a bathing product called Calgon. The tagline of the commercial was Calgon…

2017 Brings DLP Technology and IoT’s Weaknesses to Light

2017 Brings DLP Technology and IoT’s Weaknesses to Light

DLP Technology In regards to data loss prevention (DLP), in the last five years many companies rushed to implement DLP solutions without taking the time to first identify the data that should not transit egress points. Most of these rushed implementations have not been successful. Security analysts, in particular 451 Research, have been recommending that…

Don’t Be Intimidated By Data Governance

Don’t Be Intimidated By Data Governance

Data Governance Data governance, the understanding of the raw data of an organization is an area IT departments have historically viewed as a lose-lose proposition. Not doing anything means organizations run the risk of data loss, data breaches and data anarchy – no control, no oversight – the Wild West with IT is just hoping…

Three Reasons Cloud Adoption Can Close The Federal Government’s Tech Gap

Three Reasons Cloud Adoption Can Close The Federal Government’s Tech Gap

Federal Government Cloud Adoption No one has ever accused the U.S. government of being technologically savvy. Aging software, systems and processes, internal politics, restricted budgets and a cultural resistance to change have set the federal sector years behind its private sector counterparts. Data and information security concerns have also been a major contributing factor inhibiting the…

Staying on Top of Your Infrastructure-as-a-Service Security Responsibilities

Staying on Top of Your Infrastructure-as-a-Service Security Responsibilities

Infrastructure-as-a-Service Security It’s no secret many organizations rely on popular cloud providers like Amazon and Microsoft for access to computing infrastructure. The many perks of cloud services, such as the ability to quickly scale resources without the upfront cost of buying physical servers, have helped build a multibillion-dollar cloud industry that continues to grow each…