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 interact with relational databases effectively.…
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 science, mastering SQL can greatly…
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 help data engineers and analysts…
Creating dynamic file names is essential in data integration workflows, especially when managing large datasets in cloud platforms like Azure Data Factory (ADF) or Azure Synapse Pipelines. This guide will…
Azure Storage Accounts are essential for managing and storing data in the cloud, providing scalable and secure storage solutions for a variety of workloads like big data analytics, backup, and…
dbt (Data Build Tool) is a powerful transformation tool designed to help data teams build, transform, and manage their data pipelines with ease. Developed by Fishtown Analytics (now dbt Labs)…
Managing massive datasets in data lakes is a common challenge for data engineers. As data volumes grow, so does the complexity of efficiently modeling, transforming, and compressing this data for…
In today’s data-driven world, managing large volumes of data efficiently is crucial for businesses. Data lakes, coupled with advanced file formats like Apache Parquet and management tools like Apache Iceberg,…
Cloud computing has become an essential part of modern software development, offering scalability, flexibility, and a wide range of services. However, the dependency on big cloud platforms like AWS, Google…