Barry Strauss, Head of Marketing, Talksum
In a Wall Street Journal article published this summer entitled “Internet of Things Market to Reach $1.7 Trillion by 2020,” contributor Steven Norton cited IDC as proclaiming that the IoT market will grow from $665.8 billion last year to $1.7 trillion in 2020 as “more devices come online and a bevy of platforms and services grow with them.” Although security will bring a new wave of concerns, a possibly greater concern is the number of data centers that are not prepared for the massive amounts of data coming from all of the “things” in the near future.
The “things” constitute connected devices that are expected to grow from 10.3 billion last year to more than 29.5 billion in 2020 according to IDC. With those types of numbers, the data accelerating among the multitude of disparate devices needs to be processed and managed at wire speed and under common standards.
“Enterprises have to manage that, so they have to create new management policies for the devices and how they’re connected,” said Vernon Turner, IDC’s research fellow for the Internet of Things. “There is a life cycle that has to happen that might be different from the traditional application life cycle,” he said. Interoperability will also be a major sticking point when it comes to corporate adoption.
IoT-enabled devices bring processing challenges, which can be broken down into three areas – data ingestion, data storage, and data analytics.
The first two areas represent the cost of doing business while the third area – analytics – is seen as the value of Big Data, per se. According to a Forbes article entitled “The Internet of Things Will Radically Change Your Big Data Strategy,” contributor Mike Kavis said “Experts estimate that over half of all Big Data projects fail and most of those failures are due to projects never getting past the data ingestion phase.” In addition, Kavis stressed that even if an enterprise makes it past the data ingestion, it would still have to learn new technologies such as Hadoop, Map Reduce, and so on for provisioning enough disk, network, and compute capacity to keep up with the new incoming data. Finally, he mentions that analytics would be difficult since the IoT data would have problems integrating with existing data warehouse investments. And, he continued, “To make matters worse, the costs and effort to maintain and provision enough infrastructure to keep up with the incoming flow of data is an arduous task that continues to keep risks high throughout the life of the IoT investment.”
Worry no more.
The real-time Talksum Data Stream Router — TDSR — solves all of the challenges within all three areas.
First, let’s take a look at data ingestion. Today, the TDSR ingests, normalizes, and integrates most types of data originating from multiple sources. The highly configurable rack-mounted units can handle structured, semi-structured, and no-structure disparate data generating from any source over the network.
Secondly, the high-volume, high-performance TDSR keeps pace with all incoming data, processing millions of complex events per second, as it transforms, filters, data reduces, aggregates, enriches, analyzes and contextually routes the “actionable” data to any type of downstream system for storage, business intelligence, and/or database use. Data can quickly move where it is needed, in the format that is need, at the time it is needed. And, the TDSR is dynamically scalable to accommodate unpredictable data flow.
For the analytics area, the TDSR processes the data first as it comes in, then routes it to the appropriate analytics system for taking action. In other words, the TDSR transforms incoming disparate data from the various sources, allowing data to “talk” to each other, then routes the data to its respective downstream analytics tools for taking real-time action when needed and reduces reporting latency of critical events to seconds.
Costs are kept to a minimum since the TDSR comes highly configurable without the need for specialized coding to deploy highly tailored solutions. And the units include the foundational components for regulatory compliance, government standards, and policy control.
The Talksum data center solution streamlines service delivery and boosts overall performance – all with no impact on current infrastructure.