Blockchain Analytics

The aim of this blog is to demonstrate the concept of blockchain and private distributed ledger with respect to privacy-preserving data science. The blog also states the currently used blockchain analytics techniques for blockchain-oriented data science, visualization techniques, and benchmarking of popular blockchain frameworks which highlight some significant limitations in Ethereum, Parity, and Hyperledger blockchain

Executing Long Running Tasks in Google App Engine – How to do it?

Most of the times a question flashes into the mind of the developers especially those who work on the Google Cloud Platform: What if I am using Google App Engine Platform as a Service and will be having long running tasks that should run in the background for hours or maybe even days, is it

Data Lake – Why should we use one?

From the last few years, we have observed a massive growth in the data than we have ever seen. Many organizations find an opportunity from this big data and develop different strategies to monetize it. But the major challenge is “Where to store all the data?” We have data warehouses that store the data as

Data Science – Understanding the concept and why it is important?

Over the last decade, there has been a massive growth in both data generated and data retained. These data are retained by companies as well as you and me, isn’t it? Sometimes, we call this as the “Big Data”. Nowadays, the term “Data Science” is gaining a wide recognition. But what does a data scientist

Internet of Medical Things (IoMT) -A Digital Revolution

Indeed the Internet of Things (IoT) is constantly contributing to solving our day to day problems. Products such as Pizza Button, IoT Refrigerators etc seems to be futuristic but its powering great amount of technology around us. When the first pacemaker was implanted in 1958, it set off a wave of medical engineering innovation that

Business Intelligence – Just Big Data or “Good” Data?

Suppose you are running a “main-road” side shop and fortunately there is a high growth of customers in your shop, say at the minimum 50 customers per minute and everyone is willing to pay in cash. Your cash box contains different sections for keeping 100 rupees, 500 rupees, and 1000 rupees and etc separately. Answer