I’m a Senior SAP Consultant at EPAM, focused on SD, MM, MDG, and integration-heavy S/4HANA projects. This digest captures what I’m actively working through — patterns I test, articles I read, people I exchange ideas with. This is quick recap of what ...
The scene is a familiar one. A late-night war room, lukewarm pizza, and the strained faces of a good engineering team staring at a monitoring dashboard. The OrderService, the glorious centerpiece of their e-commerce monolith, is buckling. Every deplo...
As someone exploring data science and machine learning, I’ve always been drawn to projects that solve everyday problems. One of those problems? Spending way too long scrolling through movies, unable to decide what to watch. This inspired me to build ...
Introduction: Going Beyond the Basics in Data Analysis When it comes to data analysis, I like to think in terms of breadth and depth. With any dataset, there are multiple ways to begin exploring and interpreting it — this is the breadth. It involves ...
Introduction Exploratory Data Analysis (EDA) is often the very first step when working with a new dataset, and for a good reason: it helps us understand the data before we build models or make decisions. As part of the Cyber Shujaa Program, I had the...
Advanced SQL for Data Engineering Querying a database should be at your fingertips. This helps you perform ETL and EDA processes as a data engineer, analyst, or scientist. Data comes in various shapes, structures, and features, but it has to be trans...
Data preprocessing is the essential art of refining raw, unpolished data into a clean, structured format that machine learning models can effectively utilize. This process encompasses a variety of tasks, such as addressing missing values, converting ...
Exploratory Data Analysis (EDA) is a crucial phase in the data analysis process that involves examining datasets to summarize their main characteristics and uncover underlying patterns, trends, and relationships. Unlike traditional statistical method...
Introduction Exploratory Data Analysis (EDA)?Exploratory Data Analysis (EDA) is a critical step in data science, allowing data professionals to understand the underlying patterns, trends, and structures in data. In this blog, we will discuss the fund...
Event-Driven Architecture: How It Works and When to Use It Modern software applications need to be scalable, responsive, and resilient. One architecture that helps achieve these goals is Event-Driven Architecture (EDA). It enables systems to react to...
