Commenting on Software Technology Trends & Market Dynamics

Jnan Dash

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Top Stories by Jnan Dash

During the 1980s and 1990s, online transaction processing (OLTP) was critical for banks, airlines, and telcos for core business functions. This was a big step-up from batch systems of the early days. We learnt the importance of sub-second response time and continuous availability with the goal of five-nines (99.999% uptime). The yearly tolerance of system outage was like 5 minutes. During my days at IBM, we had to face the fire from a bank in Japan that had an hour long outage resulting in a long queue in front of the ATM machine (unlike here, the Japanese stand very patiently until the system came back after what felt like an eternity). They were using IBM’s IMS Fast Path software and the blame was first put on that software, which subsequently turned out to be some other issue. Advance the clock to today. Everything is real-time and one can not talk about real-ti... (more)

To Blog or to Tweet?

Twitter on Ulitzer Lately it seems like writing blogs is getting out of fashion, what with the rise of microblogging star Twitter. Something about Twitter is intriguing. I guess the simplicity of writing your thoughts within 140 characters is a force larger that anyone expected. Reminds me of the early days of Google, a sparse screen of white space with ten words. The sheer excitement of entering any word and hitting the enter key and seeing pages of results was a trip, whether the result set was of any use or not. My first reaction to Twitter was like that of many - who wants to... (more)

NewSQL – What is It?

There has been a lot of discussion on NoSQL databases over the past couple of years. These databases do not use the Structured Query Language (SQL), the standard data manipulation language for relational databases such as Oracle, DB2, MySQL, Sybase, and SQL Server. The data model is closer to object-oriented data and hence fits well for documents or geospatial data. Being schema-less, they accommodate well for flexible data structures, unlike their relational brethren. Examples of NoSQL databases are MongoDB (most popular), CouchDB, and Cassandra. Programming is easier and rigid ... (more)

The Three Vs of Big Data

Big Data is a top technology trend for 2012 according to Forrester Research. The Economist said that Big Data is a new game changing asset and The Harvard Business Review termed it as a scientific revolution. Scientific Revolution? Because it is data-intensive computing to unify, theorize, experiment, and do simulation at scale. It is also termed the Fourth Paradigm – “The techniques and technologies for such data-intensive science are so different that it is worth distinguishing data-intensive science from computational science as a new, fourth paradigm for scientific explorati... (more)

Welcome 2010 & Cloud Computing

We just finished the first decade of this century/millennium. The early part of this decade saw great worry about the Year 2000 problem. Much gloom and doom was predicted, but things passed off smoothly. No apocalyptic upheaval. As we usher in the next decade, the biggest buzzword is “Cloud Computing”, a rapprochement of ASP, SaaS, SOA, Virtualization, Grid Computing, Enterprise 2.0, etc. All these buzzwords have been making the rounds over past few years. Finally, computing as a “utility” seems practical and doable. Amazon took the lead in introducing AWS (Amazon Web Services) ... (more)