Hello Data!

Data Depth of Field

Always striving to enhance efficiency and streamline their work, humanity has embraced the realm of technology, making digitization an integral part of their daily routines and technological advancements. This shift aims to address shortcomings and pursue perfection in all endeavors. Nevertheless, human fallibility still prevails, and the quest for perfection necessitates meticulous record-keeping, surpassing the reliability of mere memory.

While oral traditions initially shaped cultures in the early stages of history, they remained confined to local domains. As the need for universal information dissemination arose, various methods and techniques emerged. The evolution of information transfer, from crude stone engravings to the sophisticated mediums of paper, sound, and imagery, marked a pivotal turning point for humanity and science. In the digital realm, the pinnacle of technological development lies in the digital embodiment of our innate “recording instinct” – DATA!


Indeed, while I won’t delve into the intricate historical and philosophical aspects of data, it’s evident that the path of all enduring systems, both past and future, lies in data. To a remarkable extent, technological progress is driven by the generation of data. In today’s world, we’ve begun to utilize data generated by data and technologies born from data.

Consider the field of Healthcare, particularly from an IT perspective. Health Management Systems (HMS) have emerged with the aim of systematically transforming the practices of healthcare professionals into streamlined services. These HMS rely on Patient Health Records, which encompass your personal profile information, medical history, diagnoses, treatment methods, laboratory results, and more. As a result, you inadvertently generate data through your interactions with these technologies.

Thanks to this wealth of data accumulated over the years, not only can you gauge an individual patient’s health but also gain insights at regional, city, and even national levels. By developing predictive and early warning systems, you can tackle regional epidemics, monitor antibiotic consumption, predict cesarean delivery frequencies, or forecast hospital infections. The data you produce now begets new data.

This data, vast and beyond the scope of individual interpretation, becomes manageable and interpretable when reintroduced to technology. Through advanced processing, these billions of lines of data become models that can yield results in seconds. HMS, initially established to enhance service quality and speed, are now diagnosing diseases with success rates exceeding 90% through these models. They even strive to enhance the accuracy of physicians’ evaluations. It’s truly a testament to human progress – our data is now fostering intelligent technologies. The concept of “Information Technologies” takes on a deeper meaning, doesn’t it? Congratulations, we’ve witnessed the evolution firsthand!

Artificial Intelligence

In the realm of data studies within IT concepts, we can distill the processes as follows: 

1. Database Management Systems: This involves the recording and safeguarding of data.

2. Data Modeling: It revolves around organizing records around specific subjects.

3. Data Analytics and Business Intelligence: These fields aim to extract meaning and insights from data.

4. Data Engineering: This entails distributing data to various locations, enabling structural changes, and facilitating technological transitions.

5. Data Science: Here, the focus is on delving deep into the data.

6. Machine Learning: It involves teaching computers to understand and utilize data, ultimately leading to technologies like Deep Learning and Artificial Intelligence.

While these concepts can be categorized into Management, Engineering, and Science, it’s important to note that the ever-evolving IT landscape constantly introduces new methods and technologies. Just as “Hello World” serves as the initial lesson for coding newcomers, let’s conclude our article by embracing the world of data with a resounding “Hello Data!” It’s a world that keeps expanding and evolving, just like the technology that fuels it.

Single Piece of Puzzle

Written by Muhammed Sezer

A Data Engineer held responsible positions in several projects as Architect, Developer and Team Lead. My strengths and qualifications are based on Data Modelling, Data Warehousing, Intelligent Systems and Data Pipelines.