Barry Strauss, Head of Marketing, Talksum
With the amount of data increasing at exponential rates, you would think that businesses today would have it made, that they would be overwhelmed with information, and that they could apply information to problems on the spot, react instantaneously, and even be more proactive than ever. Unfortunately, this is most often not the case.
The inordinately massive amount of available information has ironically put a strain on the enterprise, more specifically on the network infrastructure. Big Data that gets bottlenecked and can’t be served properly becomes responsible for down time, operational inefficiencies, potential disasters, policy violations, lost opportunities, higher costs, security violations, and other problems.
Ultimately, the ineffective infrastructure triggers financial losses that occur because of the inability to make real-time decisions with the data.
The traditional approach to fixing this problem is to first store data, and then to make something out of it. The focus of innovation is to make storage bigger and faster (improve traditional databases and build new storage solutions such as Hadoop, in-memory databases, and others) and build analytics on top of it. This becomes complex and expensive to implement and also raises concerns in scalability and stability.
Talksum has tackled this problem with an efficient approach – understanding data and then acting upon it in real time before storing. This allows enterprises to apply business logic early in the process before data is stored, and optimize what needs to be acted upon in real time and what needs to be routed to respective downstream sources.
Again, the key point of the Talksum approach is to understand the data first before it is stored, as opposed to today’s approach of storing first, and then trying to figure out what is in the data.
At the end of the day, it all comes down to saving $$$$ and eliminating financial losses. The underlying, innovative approach built into the Talksum product allows a single Talksum Data Stream Router (TDSR) to replace racks of servers in the data center. This drastically reduces the infrastructure footprint, staffing and support needs, energy consumption, the number of required software licenses, and other costs. At the same time, the TDSR reduces the number of steps and the amount of time (from days or weeks to seconds and minutes) needed to make timely decisions, create reports, build charts, and take appropriate actions.
The Talksum solution also helps data centers solve one of their biggest challenges – dealing with multiple logging formats and data schemas – by providing a universal logging profiler, as well as other systems interoperability problems.
The TDSR performs all of this while enforcing security and policy compliance.
To sum it up, the TDSR reduces many solutions that apply to challenges and problems to a single solution that covers all. And it does this in real time at network speeds.