Arunkalyan Nagarajan

I would like to start with a quote from the late Steve Jobs “Many of the touch, content-interaction, and collaboration features that make tablets and smartphones so appealing for consumer use could also revolutionize the experience of BI, particularly for nontechnical users.” Mobile BI has been in the wild for almost 3 years and few […]

The last of the 4 part BigData trends. This post covers the role of in-memory analytics and some tools that are being used. What is In-Memory Analytics? To put it simple: Performing analysis on the memory/RAM. Flash memory’s price is decreasing  and the RAM can store Terabyte-size datasets. And since 64 bit processors can address […]

This is part 3 of the Big Data Trends i have been covering the past couple of weeks. I covered the changes to the traditional ETL solutions that are increasingly being used in enterprises ( stream processing ). This part covers yet another trend in Big Data. Open source statistical programming and Crowd sourced data […]

In continuation with my previous post on Big Data Trends, I would like to reference couple of Stream processing solutions that are able to process huge volumes of data with low latency. These solutions address the shortcomings of the traditional ETL delivery mechanism. ETL shortcomings ETL and message queue systems address offline reporting and batch […]

Introduction My first blog in nearly 2 years with Perficient. I have been watching this space for a while and have been wondering for some time about potentials topics to blog. I have decided to initially focus my blogs on some interesting Business Analytics technologies which are discussed infrequently. ( Data mining, Predictive Analytics, Text […]