Emil Sayegh

Jul 5, 2016

The Sweet Science of Big Data and IoT

In a number of ways, the “Internet of Things” is a perfect description for the phenomenon that it aims to describe. The wide spectrum of applications that this radical technology incorporates is vast and it is growing with every passing day. For some, the word “things” in IOT may sound like a bit of a lazy term, as though a better description wasn’t available, but the term is clearly filled with great merit and potential. Over time, many have seized the opportunity many to interpret, retell, and share individual perspectives of what “Internet of Things” is. A big part of that story this phenomenon can do for business, our communities, and individuals. In a way, the term parallels the rise of and the usage of the term “web”, or “internet”, or “cloud” in its fluidity and importance. As many ways there are to describe IoT, there are just as many ways to implement it, and as observed in many technological endeavors, there is a worthwhile road that is not always chosen because it is seemingly more difficult than others.

From its simple beginnings, IoT is growing into a massive industry that only now is hitting its stride. New applications, new utilities, new avenues of information, and a growing number of intelligent devices are emerging at a staggering rate. With each manifestation of improvement and entries into the market, IoT is helping to deliver answers to everyday problems, improve our quality of life, and increasingly connect us all regardless of our locations. As witnessed with the emergence of smartphones, the integration of practical technologies into our lives comes with a price that must be satisfied in order to sustain any practicality at all. The ultimate formula for a scalable IoT and big data bridge into the future is based on science and understanding the elements that go into the big picture.

This science bears the elements of maintaining sustainable performance, securing the integrity of the technology, as well as the information it is entrusted to carry. Without these fundamentals, the Internet of Things would be useless.

The Elements of Modern Data

Make no mistake about it, because with little comprise, IoT technology is expected to always work. This expectation is produced by the upward presence of IoT applications and the increasing role of IoT in our lives. As this growing synergy between people and technology continues on its journey, the elements that make IoT dependable are clear.


There are many stacks of books and courses dedicated to data and application designs. Whether the case is utilitarian, minimalist, comprehensive, or anywhere along a wide spectrum, every IoT application makes choices about how to present itself and deliver data to the user in the best manner possible. Consistency is a key factor, and along with user experience, the approach that is taken in the design can make or break an IoT technology.

Modern Data Design


IoT applications have to be available at all times. The general expectation is that data can be collected, delivered, and shared regardless of what time one chooses to connect. In the world of IoT, the challenge of presence and availability is best answered by cloud-based hosting solutions. Ubiquitous, efficient, and scalable, the Internet of Things has come to depend on the presence, capabilities, and power of the cloud.

Codero High Availability

Capacity of Data

Cloud technologies can help insure that applications are always available, but that is only part of the equation. Data transaction is also quite critical in that the delivery of data is what makes IoT work in the first place, whether the goal is to deliver, collect, process or receive information. The takeaway is that architectural design is a major building block to building the right IoT infrastructure.


The term scale is often thrown about with little understanding of its true necessity and implications. Scale is an exercise that is facilitated by healthy architectural computing resource design and precision engineering. Many struggle with the fact that the capacity to effectively produce IoT services is capped by the realities of costs, complexity and application growth. Thus, an architect of IoT systems must strategically implement infrastructure capacity where and when it is needed. This is a task that must be made simple and it must be readily reversible. In other words, a properly built IoT infrastructure is able to expand and contract where and when it is needed by means of a flexible infrastructure, programming, and network capabilities. This precise maneuvering is made possible by constant measuring, monitoring, and reporting from the side of IoT that only a few every get to see.


It is clear that the speed of data makes for a positive user experience. IoT applications are designed with optimized connectivity in a number of targeted network conditions. Devices themselves may have to connect over technologies such as Bluetooth, 3G, 4G, and Wi-Fi networks. New standards for connections are constantly evolving, pushing the boundaries of range, speed, and reliability with each passing phase. On the architecture side, speed is also a factor. IoT applications are pushing and increasing amount of data through massive networks. In addition, IoT applications are evolving towards a more edge-centric model, meaning that because of latency and the size of data being pushed, an increasing amount of data is being processed in proximity to the end client rather than a central processing stage. In any example, the quality of network is a constant theme in the positive experience of IoT, whether it comes down to the nature of wireless carrier, wireless access device, or the network backbone that a hosting provider is utilizing.


Security is one of the most critical and enabling elements of IoT itself. Properly secured IoT applications are critical for the reliable and safe operation of devices that connect in the IoT world. It is easy to imagine that with such a wide variety of IoT applications in a still-nascent industry that security standards continue to vary quite widely and may never see a unified approach. Such is the nature of an open environment. The traffic that courses through the internet and the infrastructure however enjoys a solid history with decades of development and experience at its sails. That is because protecting data has been an issue since the earliest days of computing. Over the years, a growing number of concerns, threats, security technologies, devices, regulations, and more have evolved to produce a robust ecosystem of security that has served IoT well. From the endpoint to the cloud however, there are other concerns. Most IoT endpoints are designed to be either easy to use or have no human interaction at all. There is no opportunity to input passwords or credentials as most devices are designed to be low-power, single use by design. This footprint is both an advantage and a potential threat. The leading security designs and approaches are using elements such as data segmentation, end-to-end security, and network monitoring to deal with this new spectrum of threats.

IoT, Big Data, and Hybrid

There is only one answer in the industry that can handle all of these elements in one cohesive platform. It’s hybrid computing. Hybrid computing answers the questions and demands of a surging big data and IoT industry with a number of key technologies.

Architecture Meets Data Design – Whether it is a simplistic IoT interface, or complex arrays of sensor-based data, hybrid cloud technology delivers the resources of network, compute, and storage exactly where it needs to be, when it needs to be there. This is the ‘cloud layer’ of the hybrid formula and it was made to do this exact task efficiently. On the other hand, for applications that are constructed with heavy calculations and data processing, a multi-point or single-point layer of dedicated resources delivers high capacity where it is needed. This is the dedicated element in hybrid cloud computing.

Availability Answered – Thanks to the nature of hybrid cloud, there is no single network point of failure to be concerned with.

Data Unleashed – Hybrid cloud is multi-directional, meaning that wherever data needs to go, it can be structured as needed.

  • Between nodes
  • From endpoint to central repository (and back)
  • Delivering status and control to an army of endpoint devices
  • Variations and combinations of these mean the examples are endless.

Scalability – Hybrid cloud answers the IoT and big data challenge with the limitless capability to add resources as required.

Speed – An IoT and big data environment counts on speed to produce the best experience. With strategic implementation of cloud, network, and dedicated resources, hybrid cloud cannot be beat when it comes to structuring speed where it counts, minimizing hops to public-facing networks and target audiences.

Security – The days where cloud security was a strangling point of concern are long gone, but not forgotten. Hybrid cloud heeds the call for cutting edge security by allowing the enterprise to exercise control over data, implementing security as it needs fit over the most sensitive information, and to have complete ownership of the data it sees as critical.

Codero Pushing the Boundaries

Codero’s operational formula allows businesses to decide for themselves how to implement IoT and big data according to their needs. A business can start simple and grow as needed, which is the premise behind our hybrid approach and consultative sales approach. By providing uncompromised excellence in support, business can rely on a partner that is always there, ready to help when required from inception, to design, to test, and throughout production. Codero also boasts a unique “On-Demand” hybrid cloud technology that allows for rapid scale, rapid configuration, and the best experience possible for any IoT and big data application. Codero is also uniquely positioned for a vast network of localized network and data centers, so that as compute gets increasing closer to the edge, a variety of resources are available in order to provide optimal results. When IoT technology is tested and designed to work as expected, it is both fundamental and critical that the architecture be as powerful as can be.

The answer for a great deal of IoT and big data deployments is hosted on demand hybrid cloud technology. Do you agree? Let’s start the conversation—visit our Facebook page and tell us what you think!

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