During my Startup Consulting, I’ve frequently observed that organizations encounter the dilemma of choosing the appropriate tools and technologies to handle and analyze their continuously growing datasets. The decision between opting for Apache Hadoop associated technologies such as HBase, or go with MongoDB is a common consideration among many emerging tech startups. However, deciding between…
In big data technologies, Hadoop has emerged as a formidable player, revolutionising the way organisations store, process, and analyse massive volumes of data. However, amidst the hype surrounding Hadoop, a common misconception persists: that Hadoop is a database in itself. I encountered this misconception once more during my recent Startup Consulting project. A senior member…
Map Reduce technology has revolutionized the processing and analysis of large-scale data by providing a scalable and efficient framework. Let’s explore the evolution and application of Map Reduce, discuss early tools that enabled its implementation, delve into the migration of Map Reduce applications from on-premise to the cloud, consider the cost implications, recommend the best…
In the era of big data, organizations face the challenge of efficiently storing, processing, and analyzing massive volumes of structured and unstructured data. Two prominent technologies that have emerged to address these challenges are Hadoop and NoSQL databases. As an early adopter of these technologies, I will now delve into their similarities, differences, use cases,…
Having the opportunity to witness the Big Data Revolution firsthand, Lets explore an era of remarkable digital transformation where the sheer volume, variety, and velocity of data have surged to unprecedented heights. This exponential growth has created a pressing demand for powerful and efficient Big Data technologies. These technologies have evolved significantly over time, enabling…
