SQL for Data Analytics: A Comprehensive Guide
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…
Posted inBig data
Integrating dbt, Snowflake, and Airflow for ETL Workflows
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…
Posted inBig data
How to Set Dynamic File Names in Azure Data Factory: A Step-by-Step Guide
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…
Posted inBig data
How to Set Up an Azure Storage Account: A Step-by-Step Guide
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…
Posted inBig data
Understanding dbt (Data Build Tool) – What It Is, What Problems It Solves, and Its Practical Use Cases
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)…
Posted inBig data
Data Lake Fundamentals, Apache Iceberg, and Parquet
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,…
Unlocking the Power of Azure Data Factory: A Complete Breakdown of ADF Activities
Azure Data Factory (ADF) is a robust and scalable cloud-based data integration service that allows organizations to create and manage complex data pipelines. At the heart of ADF are activities,…