Talksum Announces Data Stream Router Integration for Microsoft SharePoint

Alex VarshavskyAlex Varshavsky, CEO, Talksum

Today we’re announcing our flagship Talksum Data Stream Router (TDSR) integration with Microsoft SharePoint. The easy-to-install TDSR product can now route data directly into SharePoint in real time, making it easy to create visualizations out of massive amounts of data without the need of building new or using existing specialized visualization software and tool sets.

Eighty percent of Fortune 500 companies use SharePoint today and two out of three enterprise workers have SharePoint at their fingertips to manage workflows for various aspects of their business operations.

With this integration, SharePoint users can now easily visualize their Big Data projects using the tool that they use every day – SharePoint.sharepoint

The Talksum SharePoint integration reduces complexity, time, and costs that in the past became barriers to accessing and visualizing the inordinate amounts of data required for successful analytics. Now, Talksum provides Big Data for SharePoint.

Designed to accelerate real-time decisions, the TDSR improves data acquisition and transformation, and converts data into flexibly managed event streams. The TDSR has the ability to output to most external data stores, and it can format, aggregate, filter, count, and contextually route data in real time, as well as enrich the data by correlating events with other external data sources.

To learn more about the TDSR and how it can deliver Big Data for SharePoint, contact us and we’ll send you more information.

 

 

Lessons Learned From a Life-Long Career of Start Ups and Daydreaming

Dale Russell, Talksum CTODale Russell, CTO, Talksum

All of my life, I’ve been doing things differently. Back in the 70s and 80s, this was not a trait that my teachers really appreciated. I bet I was told to stop daydreaming every half hour or so, and I’m sure my parents received a note from the principal almost every other week. Amazingly, my father, who was a rather strict man, would never say anything about it as long as I kept my grades up. He would tell me every day that my life would be a series of those dreams, that when I’d reach one dream then a new dream would form, and that when I failed, it was most important to dream yet another dream and try to reach it.

I didn’t realize until recently that it is my father’s fault that I have always been like this.

Over the years in my career, I have been very fortunate to have mentors who took the time to give me crash courses in whatever I needed to know along with the confidence to execute. A couple of months ago, I reached out to one of those mentors, who is now an Algebra teacher in Florida. I am sure he thought I was crazy, but truthfully I would not have had the same career had it not been for his mentorship. It was more than just what he taught, it was more the freedom he gave me to experiment, to fail, and to learn on my own. I mention this person because years later, in retrospect, I think he is still teaching me a lesson, or maybe I am truly so hardheaded that it took 16 years for it to sink in.

So, here’s what I have learned and what I can apply from these “lessons.” Teach and mentor, but most importantly trust your team to learn from you. In a start-up company, everyone in the company can attend an all-hands meeting at one conference table to discuss strategy. This is my greatest dream – to be a better teacher to all of those around the table. There are no simple rules of success for any start up. Most products will fail; hockey-stick business plans are useless. The ability to mentor a small group of brilliant people, and teach them what to do as you’re doing it is an imperative. If what you’re doing is truly innovative, it is incumbent upon you to impart the knowledge and confidence in them to enable them to contribute in the company’s success.

 

Join Us in London at the Big Data Innovation Summit

Barry Strauss, Talksum Head of MarketingWe’re gearing up this week to attend the Big Data Innovation Summit in London on April 30 and May 1, where the theme is appropriately “going beyond the Big Data buzzword.”

At the event, which takes place at the Lancaster London Hotel, we will be sharing details about the recent implementation of the Talksum Data Stream solution. In addition to our booth, Talksum CTO Dale Russell will be presenting in the “Big Data Innovation” track at 3 pm on April 30 about the following:

An Efficient Approach to Data Management

In the presentation, Dale will describe how the Talksum Data Stream solution takes an efficient approach to data management and analytics. Designed to accelerate real-time decisions, the Talksum Data Stream manages data acquisition and transformation, and converts data into flexibly managed event streams. With the ability to output to most external data stores, the Talksum Data Stream can process, filter, and aggregate data in real time, as well as enrich it by correlating events with other external data sources.

We are excited to be a part of the Big Data Innovation Summit and hope to see you there!

First Talksum Data Stream Product Shipped!

It is exciting times here at Talksum! We’re happy to say that we are hard at work making the Talksum Data Stream work wonders for Mail.ru in Moscow. We’ve shipped our first data stream product, plugged it into a customer’s data center and it is receiving, parsing, processing and aggregating data in real-time, as we speak.

This is a big milestone for any young company, and it’s the product of a whole lot of hard work. While we’ve been working with several beta customers on refining requirements and performing proof of concepts (POCs) in our research environment, the Mail.ru implementation represents our first customer install.

Mail.ru is using their Talksum Data Stream to aggregate and analyze network traffic data in real time. We look forward to sharing more details about the implementation in a more formal case study in the future, but for now we’re simply excited to say that we’re up and running with our first on-premise implementation.

Breaking the Silence: Real-Time Data Management and the Talksum Private Beta

Things have been quiet here on the Talksum blog for quite a while, but it certainly hasn’t been because of lack of activity behind the scenes. Since our last few posts, which have been limited to some technical notes about some of the projects we’ve contributed to, we have been hard at work on two major fronts.

First of all, we’ve been building our product and moving from our research prototype to our commercial offering. On that front, we’re very excited to announce that we’re well under way with the private beta program for our appliance-based Talksum Data Stream platform. We’ve been lucky enough to have the opportunity to work with several major enterprises in different verticals to prepare our product to be let loose in the wild, applied to real world data management and analytic problems. We’re working with Netflow data for optimization of data center topology and disaster recovery strategy. We’re enriching data in real time for optimized integration. We’ve been proving how our real-time data management and data reduction tools can shrink storage and decrease latency. As I said, we’ve been busy.

Secondly, we’ve been using these experiences to really hone our product vision. As we’ve talked to numerous companies and started working with our initial group of beta candidates, we’ve become increasingly passionate about the need for new approaches to “Big Data.”

We see lots of vendors working on how to do analytics on larger data sets, on how to spin enterprise offerings out of hugely distributed cloud approaches or how to re-tool the Hadoop ecosystem to handle lower latency solutions. However, the more we talk to big companies, the more we see that there’s an underlying need to re-assess larger data management practices. That’s where we see Talksum fitting in – we bring real time processing to the core of data management, data integration and data focused solution development.

We’ll be writing much more about Real Time Data Management and the benefits it brings the enterprise. For now, we’re happy to announce our private beta and to tell the world that we’re excited to be coming out of our stealthy period and into the fray!