In today’s digital economy, data is no longer just a byproduct of business operations—it is the fuel that powers innovation, decision-making, and competitive advantage. From streaming platforms and e-commerce giants to healthcare systems and financial institutions, organizations rely on robust data infrastructures to process massive volumes of information in real time. At the center of … Read more
In the world of big data, few technologies have had as much impact as Apache Spark. Today, Spark powers some of the largest data platforms on Earth, enabling companies to process petabytes of information at lightning speed. From machine learning and real-time analytics to large-scale ETL pipelines, Spark has become a cornerstone of modern data … Read more
Apache Spark has become one of the most important technologies in modern data engineering. It enables organizations to process massive datasets quickly using distributed computing. Whether you are working with batch processing, streaming data, machine learning, or large-scale analytics, Spark provides a unified platform for handling big data efficiently. This guide walks through the core … Read more
Azure Data Factory (ADF) is one of the most important cloud ETL and orchestration tools in the modern Azure ecosystem.In real-world enterprise projects, ADF is used for: This guide explains 100 practical ADF scenarios in a tutorial/blog format that is useful for: Section 1 – Core Azure Data Factory (ADF) Scenarios Scenario 1 – Incremental … Read more
Introduction Data modeling is one of the most important steps in designing and building a database. Before storing information in any system, businesses need a clear structure for how that data will be organized, connected, and maintained. This is where data modeling becomes essential. Think of data modeling as creating a blueprint for a database. … Read more
We are going to give a quick overview of how stored views and materialized views can be created in Databricks. For this demo, we will create our two gold layer entities. We will start by creating a view in the gold layer against our silver table customers_orders. Our view will simply contain some aggregations for … Read more
Find the second highest salary from the Employee table. Find duplicate records in a table. Retrieve employees who earn more than their manager. Count employees in each department having more than 5 employees. Find employees who joined in the last 6 months. Get departments with no employees. Write a query to find the median salary. … Read more
Introduction Slowly Changing Dimensions, or SCD is a data management concept that determines how tables handle data which change over time. For example, whether you want to overwrite values in the table or maybe retain their history. This can be determined by the SCD type to implement. There are three types of SCD which are … Read more
In this notebook, we are going to parse raw data from a single topic in our multiplexer bronze table. As you can see, in our architecture diagram, we will create the orders silver table. Let us start by copying our dataset files. Before starting, we need to cast our Kafka binary fields as strings. Here … Read more