The goal of this project is to connect Snowflake to Power BI, pull data via SQL queries, and create basic dashboards (Sales by Region, Monthly Revenue Trends, Product Performance). For…
Let's jump to this Snowflake project step by step with clear explanations and examples. We’ll simulate a small use case with raw customer data in a CSV file. Cleaning and…
Let’s walk through this beginner Snowflake project step-by-step. This project will teach you how to build a batch ingestion pipeline, where new data is automatically ingested from AWS S3 into…
Let’s walk through the Snowflake Project for Beginners step-by-step. The goal is to upload a CSV file into Snowflake and run basic SQL queries. I’ll also provide a dummy dataset…
This project is a data engineering pipeline solution to a made-up business problem, created to aid in my learning and understanding of data pipelining. We have Tech Stack as On-Prem…
This is a comprehensive article that guides you through building an end-to-end data engineering solution on Microsoft Azure, specifically tailored for the healthcare domain. This project focuses on managing and…
This project showcases a complete data engineering solution using Microsoft Azure, PySpark, and Databricks. It involves building a scalable ETL pipeline to process and transform data efficiently. The project demonstrates…
Data preprocessing is a critical step in data science tasks, ensuring that raw data is transformed into a clean, organized, and structured format suitable for analysis. A data preprocessing pipeline…
A Web Data ETL (Extract, Transform, Load) pipeline is a systematic process used in data engineering to collect, transform, and load data from various sources on the internet into a…
APIs, or Application Programming Interfaces, are sets of protocols and tools that allow different software applications to communicate with each other. Data collection using APIs involves accessing these interfaces provided…
Akshay Tekam