Choosing a NoSQl Database – technology comparison matrix
This technology comparison matrix helps select the right NoSql database based on the data model and nature of queries required by your application Read more →
Posts Tagged ‘big data’
The anxieties of big data – Kate Crawford
An article that explores the anxiety introduced by increasing adoption of big data for surveillance of social media and data from connected mobile devices Read more →
A framework for categorizing and comparing cloud platforms – OpenStack, AWS, Heroku, CloudFoundry!
A framework that describes the various layers of cloud platform services starting from virtualized hardware up to end-user software applications Read more →
Big Data Innovation – Driving Business Success – Conference in Mumbai
I have been invited to be a speaker in a big data conference in Mumbai on 22nd August 2013. I shall be presenting a case study in the Pharmaceutical industry to illustrate how big data technologies can significantly add business … Read more →
Reach1to1 is one of 10 Most Promising Big Data Companies – CIO Review Magazine
I am happy to announce that Reach1to1 Technologies, a company I founded has been selected as one of the 10 most promising big data companies by CIO Review Magazine.
Polyglot Persistence Case Study – Big Data Architecture
I was invited to speak to a big data innovation conference in Mumbai this week. I chose to present a case study to illustrate how we use Polyglot Persistence – or in plain English – using more than one database … Read more →
McKinsey: Big data one of top five catalysts for US economy growth
McKinsey Global Institute published a report that identifies the top 5 catalysts of growth for the US economy: The US economy is struggling to find a new formula for vigorous growth. But all growth opportunities are not created equal. New … Read more →
Introduction to NoSQL by Martin Fowler
Excellent talk and presentation by Martin Fowler, author of my favorite book on the subject. He introduces NoSQL from a historical and technical perspective. He refers to actual use cases to describe the various types of NoSQL databases.
Java EE threads v/s Node.js – which is better for concurrent data processing operations
We have started using NodeJS a lot these days typically to handle data processing applications that involve a large number of concurrent requests, each of which involve one or more I/O operations. Why Nodejs? Why not Java? Java obviously has … Read more →
Evolution of big data at CERN – a short overview by Dr. Tim Smith
There is a mind-boggling amount of data floating around our society. Physicists at CERN have been pondering how to store and share their ever more massive data for decades – stimulating globalization of the internet along the way, whilst ‘solving’ … Read more →
Radio Interview at Pittsburgh Technology Council
During my visit to Pittsburgh at the Accion Labs head office, I was interviewed at Pittsburgh Technology Council by host Jonathan Kersting. Jonathan runs a regular show titled Tech Vibe Radio, and has had a string of interesting episodes. I was honored to … Read more →
Big data bringing Asimov’s Psychohistory from fiction to reality
Isaac Asimov, my favorite science fiction writer and thinker introduced a concept called Psychohistory in his famous “Foundation” novel series. Psychohistory is the science of predicting the behavior of large groups of people using a statistical model of the psychology … Read more →
Big Data application in the Dairy Industry
Data-driven predictions are responsible for a massive transformation of America’s dairy cows. While other industries are just catching on to this whole “big data” thing, the animal sciences — and dairy breeding in particular — have been using large amounts of data since long before VanRaden was calculating the outsized genetic impact of the most sought-after bulls with a pencil and paper in the 1980s. Read more →
Big Data with Cloud Computing – 20x reduction in TCO
Cloud Infrastructure and Big Data Technology together deliver dynamically scalable computing for managing your structured and unstructured data. This brings down the upfront cost of ownership significantly, thereby allowing you to incrementally increase technology investments as the value delivered increases