As we look at the tech world in 2024, data engineering is a field full of opportunities and challenges. This…
Category: Data Engineering
Data Warehouse vs. Data Mart vs. Data Lake: Understanding Architecture and Use Cases
Data Warehouse, Data Mart, and Data Lake are three fundamental structures in the landscape of data management, each serving a…
What is an Analytics Engineer and What Do They Do?
Analytics Engineering is a highly in-demand role that focuses on using data to make informed decisions. In this article, we…
Understand LLMOps: A Comprehensive Guide
What are lLMs? LLMs, which stands for Large Language Models, are AI systems that have been trained on a huge…
Mastering Delta Lake: A Comprehensive Guide
As a data engineer, your job is to create powerful solutions for handling large amounts of data. You start by…
A Comprehensive Guide to Stream Analytics Windowing Functions
Windowing functions allow analysts to divide data into segments, enabling targeted analysis based on time intervals or event sequences. In…
Azure Synapse Analytics: A Step-by-Step Guide
In this article, we will discover Azure Synapse Analytics and explore how it addresses various business problems. We will take…
Understand Azure Data Lake Storage Gen2
Over the past two decades, many organizations have focused on creating data warehouses and business intelligence (BI) solutions using relational…
Docker for Beginners: Containers Made Easy
Let’s start by answering a fundamental question: Why is Docker important? Think about a situation that every developer can relate…
How to Schedule and Automate Spark Jobs Using Apache Airflow
Have you ever wondered why we don’t use Apache Airflow to process data directly? Why is it necessary to integrate…