OMFYS

We have recently completed 11 full years at OMFYS. ✨️

Founded in 2013, OMFYS has been through tremendous waves of path-shaping milestones; highs and lows alike.
It is always a beautiful experience to come together, celebrate and appreciate those who have been soldiers on the forefront of this journey.

Here's to many more such celebrations. 🌟

Yours truly,
Team OMFYS.

A beautiful addition to our workspace, on the occasion of our Organisation's 11th Anniversary.

Thank you for making this happen.

Inmon and Kimball Data Warehouse Models are two pioneering models on which many Business Integration (BI) projects are based.

There is always a debate on these two models. One one end, William H. Inmon - the father of Data Warehousing states a principle which is more centralized. On the other end, Ralph Kimball suggest creating several small Data marts initially.

Here, we have tried to showcase how both of these principals can be integrated rather than compromised - to form a better structure of Data Warehousing and to negate both of their disadvantages.

These theories are ground rules upon which all the other data Analytics rules branch out from.

"Most organizations that make analysis an integral part of their day-to-day operations use the conclusions suggested by the data to make informed business decisions. For this reason, the whole analysis process must be done right." - truOI (Navigate our highlights for Blog Link)

A database is defined as an organized collection of data. Early databases were flat and limited to simple rows and columns. Today, relational databases and Object-oriented databases are very prominent.

A data warehouse on the other hand is designed to gather business insights and allows to integrate their data, manage it and analyze it.

A data lake - popularly trending since the recent years - is a place to store diverse data from diverse sources and prepares the data later as people access it.

These three data storage methodologies, though defined separately, are interconnected to one another in terms of usage and coexistence. We have just skimmed the definitions of the same.

Feel free to comment if anything is to be added to the definitions.

The History of Data

The concept of data storage and analysis dates back to the Prehistoric Era. With bones being used as a mathematical tool, our Palaeolithic ancestors have been constantly recording information.

During the 1600s, the importance of data documentation started to shine through. John Graunt was one of the major contributors to the same.

It was during the 1800s, that humans started taking the aid of machinery to store data for them. Herman Hollerith and Fritz Pfleumer were some of the important names making this revelation.

With the invention of the World Wide Web, Sir Tim Burton revolutionized the whole concept of Data Storage and paved the way to Big Data as we see it today:

The 3 Vs of Big Data help in identifying what contributes to the definition. Volume, Velocity and Variety are the core Vs, first defined by in 2001.

Other that these three original Vs, there are three others that are often added to the definition, namely, Veracity, Variability and Value -

has an amazing compilation of the history of Big Data. If you are interested, searching "What is Big Data" would lead you to it.
Have you delved into Big Data yet? Tell us in the comments.

Safer Internet Day aims to promote a safer use of the internet all across the world - especially today, where all of our lives are so intertwined with the World Wide Web.

Continuing the initiative taken by in 2004, let's celebrate today by being aware and spreading the knowledge around us.
How many times do you open a device to use the internet in a day?

Here's to another year of building a better nation.
Happy Republic Day! 🇮🇳

" Data Science is not a subset of Artificial Intelligence. The two technologies share similarities and differences, but one can't be called a subset of the other subject.

Both of these subjects belong to the information technology industry, but their functionalities, goals and use cases differ. "

- Blog titled " Is Data Science a Branch of Artificial Intelligence? "

Here's to the start of yet another year full of growth. Thank you to everybody who believes in us. Stand beside us for 2024 and many more years to come ✨️

HAPPY NEW YEAR
- Team OMFYS

Wishing you a Merry Christmas! 🎄✨️