In my previous article on microservices , I talked about basic microservices architecture and partition strategies. In this section I will talk about the communication patterns within microservices. Due to the granular architecture of microservices architecture, communication between clients and services can be very complex. There are two major concerns…

Data Streaming is a very important aspect of data processing. In this age, real-time data analytics is highly desired within large enterprises to avoid FOMO (fear of missing out). To create a pipeline for a large dataset, complex architectures are required to ensure ingenuity and safety. …

In this article on Hadoop, I will discuss two fundamental building blocks of Hadoop, HDFS (Hadoop Distributed File System) and MapReduce. Although higher-level tools like Spark have superseded some of these tools, it is very important to understand the concepts that made the Hadoop ecosystem possible. Hadoop Distributed File System HDFS is the storage…

Support Vector Machine was developed in 1990 and has since gained popularity as one of the best ‘out of box’ classifiers. SVM is a computation-friendly modelling technique that is widely used in machine learning models to predict categorical data.SVM draws its foundation from the ‘Maximal Margin Classifier’. Maximal Margin Classifier Let me first…

Big Data is the most sought-after term among data engineers and while there can be an overwhelming number of fancy terms and technology under the realm of Big data, most of them are easier to pick up if the basic concept of distributed systems and clustering is clear. One technology…

Monolithic architecture for application development and deployment has been around for a while now. It is a single-tiered application in which the data access code and user interface are combined into one program in a single platform. …

Github | Linkedin Introduction Recommendation systems have gained huge popularity among eCommerce and online media in the last few years to increase user interaction. Many of our day-to-day choices are driven by personalized recommender systems that are made possible using machine learning algorithms. Some common recommender systems are Netflix suggestions for…

How Natural Language Processing is helping businesses increase brand value — Github Introduction Sentiment Analysis, also known as opinion mining is a sub of Natural Language Processing that helps businesses to understand the brand and product sentiments of a consumer. It helps enterprises to gauge customers’ opinions through analysis of reviews, blogs, social media, news, etc. to conduct market research and predict…

Introduction In the world of Supply Chain, one of the major concerns is Supplier Selection. There are many factors that determine the strategic selection of suppliers. With the vast number of options in global supply chains, multinational companies spend a huge amount of time and resources on supplier consolidation based. Bill…