“There were five exabytes of information created between the dawn of civilization through 2003, but that much information is now created every two days.” ~Eric Schmid...
Data science is a domain that combines data-bound analytical techniques and scientific theory to generate insights for business stakeholders. Its shape, elements, and siz...
Most of the Big Data, Data Science and AI / ML success stories seem to revolve around Business-to-Consumer (B2C) industries. The companies that we see leading the econo...
Okay, so I am still confused by the concept of a Data Mesh (I’m a slow learner). Recently, I wrote a blog that posed the question: Are Data Meshes the Enabler of the Ma...
Introduction With the explosion of digital media and the resultant avalanche of constantly increasing user data being created and collected daily, businesses, institution...
Scraping Google SERPs (search engine result pages) is as straightforward or as complicated as the tools we use. For this tutorial, we’ll be using Scrapy, a web scraping...
The exchange of data between corporations is known as data monetization. It is the process of earning income or creating new revenue streams by utilizing data, which is e...
The discipline of data annotation and labeling is growing in popularity and significance throughout the world. The global market for data annotation tools is expected to ...
Java is the #1 programming language for Big Data, Analytics, DevOps, and AI. It is consistently the first choice for developers working with data. The platform-independen...
We have noticed how the industrial revolution transformed the shape of our modernized world. We got big industries, endowed the computer, and made significant progress in...