Commenting on Software Technology Trends & Market Dynamics

Jnan Dash

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Top Stories by Jnan Dash

If you are part of the cloud development community, you certainly know about “serverless computing,” almost a misnomer. Because it implies there are no servers which is untrue. However the servers are hidden from the developers. This model eliminates operational complexity and increases developer productivity. We came from monolithic computing to client-server to services to microservices to the serverless model. In other words, our systems have slowly “dissolved” from monolithic to function-by-function. Software is developed and deployed as individual functions – a first-class object and cloud runs it for you. These functions are triggered by events that follow certain rules. Functions are written in a fixed set of languages, with a fixed set of programming models and cloud-specific syntax and semantics. Cloud-specific services can be invoked to perform complex ta... (more)

Technology for a Cashless Society | @ThingsExpo #IoT #M2M #Sensors

I happened to be in India last November when prime minister Modi announced the demonetization program, where 86% of the currency in the form of two paper bills (Rs. 500 and 1000 denomination) were made defunct. People were given time to deposit their existing currencies in the bank. Those who had unusually high volume of such currencies were supposed to declare the legal source or face stiff penalties such as 60-75% tax. The goal was to catch the money hoarders and black marketers who avoid paying taxes on such undeclared money. Four months later, I happened to visit India last ... (more)

Data Unification at Scale | @CloudExpo #BigData #DataLake #AI #Analytics

This term Data Unification is new in the Big Data lexicon, pushed by varieties of companies such as Talend, 1010Data, and TamR. Data unification deals with the domain known as ETL (Extraction, Transformation, Loading), initiated during the 1990s when Data Warehousing was gaining relevance. ETL refers to the process of extracting data from inside or outside sources (multiple applications typically developed and supported by different vendors or hosted on separate hardware), transform it to fit operational needs (based on business rules), and load it into end target databases, more... (more)

Splice Machine – What is it?

Those of you who have never heard of Splice Machine, don’t worry. You are in the company of many. So I decided to listen to a webinar last week that said the following in its announcement: learn about benefits of a modern IoT application platform that can capture, process, store, analyze and act on the large streams of data generated by IoT devices. The demonstration will include: High Performance Data Ingestion Analytics and Transformation on Data-In-Motion Relational DBMS, Supporting Hybrid OLTP and OLAP Processing In-Memory and Non-Volatile, Row-based and Columnar Storage mec... (more)

The 3rd Platform, Big Data, and the Internet of Things

What is the “3rd Platform” of IT? It comprises of the cloud, mobile, social, and big data products. According to IDC, “3rd Platform technologies and solutions will drive 29 percent of 2014 IT spending and 89 percent of all IT spending growth”. Much of that growth will come from the “cannibalization” of traditional IT markets. Here are some interesting quotes and statements I read recently: Adding terabytes to a Hadoop cluster is much less costly than adding terabytes to an enterprise data warehouse (EDW). IDG Enterprise’s 2014 Big Data survey: more than half of the IT leaders p... (more)