Data integration is a critical aspect of modern businesses, allowing them to combine data from various sources for comprehensive analysis and insights. In this blog,[…]
In the evolving world of big data, efficient and flexible data lake solutions are crucial for managing large-scale data pipelines. Three popular open-source projects—Apache Iceberg,[…]
Introduction Data pipelines have become a cornerstone of modern data-driven businesses. They automate the collection, transformation, and delivery of data from various sources, making raw[…]
Azure Data Factory (ADF) continues to be a robust platform for data integration and ETL (Extract, Transform, Load) processes. Microsoft’s recent updates bring significant enhancements[…]
Azure Data Factory (ADF) continues to evolve as one of the leading cloud-based data integration services, empowering businesses to build, manage, and orchestrate data pipelines[…]
This Capstone Project focuses on creating an Employee Management and Analysis System using SQL, designed to simulate a real-world scenario that an HR or data[…]
The Advanced Techniques Chapter is designed to elevate your SQL skills to a higher level, enabling you to tackle more complex data analysis challenges with[…]
The Basics Chapter is designed to provide a strong foundation in SQL for those new to data analytics, equipping learners with the skills needed to[…]
Structured Query Language (SQL) is an essential tool for data analysts, data scientists, and data engineers. As one of the most sought-after skills in data[…]
This project dbt-snowflake-airflow showcases an integrated setup for managing ETL processes using Apache Airflow, dbt (data build tool), and Snowflake. This setup is designed to[…]