In this post we will go over three approaches that we see across organizations when it comes to data engineering. The three approaches are...

In this article we will go over why and how we ended up using Github Actions and its ability to run cron to address for a particular use case.

Most of the websites that are customer facing are driven by what is called the content management system(CMS). Headless CMS present an alternative to develop lightning fast websites

Entrepreneurship or an idea of a startup is a very exciting aspect. And it should be as it is either a person or a group of people who have this idea to solve a need and be profitable while being autonomous

Platform engineering is a technique/philosophy where we have a team whose sole purpose is to improve developer experience(DevEx, or DX) utilizing devops principles

We are on the cusp of AI being ubiquitous and challenging not only businesses but countries. In light of this we need to make sure that every organization be it small or big must need to think about AI policy.

Infrastructure as a code is a technique that that automatically helps your organizations to control risks, save costs and gain that competitive edge by drastically reducing time to market for new opportunities based on how it is set up

One of the fundamental things in business intelligence and data science is to fetch the data from a source. Most of the time companies expose their data

Javascript is a dynamically typed, interpreted programming language. In simple words, it is a language where you do not explicitly mention the type of data.

Data science is growing at an exponential rate and data visualization most of the time the tail end of it which seeks to tell a story. We all know the old adage,

Platform engineering is not a new thing anymore and it is great that companies have started to adopt it. However, there are still some questions

I have been reading about data mesh architecture by Zhamak Dehgani and it has been thought provoking in thinking how data is handled in organizations.

Data plays a big role in AI. To give some perspective ChatGPT-3 was trained on multiple sources that include web pages, books, Wikipedia, and articles.

AI and ML are at the fore front of our minds as we are in a very interesting phase in terms of this technology where we are moving from its early days

Artificial Intelligence is at a point where it is gaining rapid momentum and acceptance and is being used by organizations. In this post,

This blog is targeted towards people who have heard about AI but not sure where to get started with. The best way to get started with this is to use it.

There is no doubt that ChatGPT or Gemini(Formerly Bard) have led the explosion of Generative AI. However when you look at the data