Abdullah Ghayad's repositories
gravity_books_DWH
Gravity Books Data Warehouse is a data integration and analytics solution designed to provide insights into the operations of a fictional bookstore, Gravity Books. This documentation provides an overview of the project's structure, its source data, data transformations, and the resulting data warehouse schema.
AzurePipeLine-Student-Teacher-
an Azure Data Factory project for processing two Excel files (student details and teacher details).
Gravity-Books-SSAS-Project-
The Gravity Books SSAS (SQL Server Analysis Services) project extends the capabilities of the Gravity Books Data Warehouse by providing a powerful analytical layer. It leverages SSAS Tabular mode for data modeling and serves as the foundation for creating interactive reports and dashboards using Power Pivot and Power BI.
SSIS-Sales-Data-Merge
This SSIS project merges 12 CSV files, each representing sales data for a specific month in the year 2019, into a single database. The resulting database contains aggregated sales data for the entire year.
Student-Data-Processor
This SSIS project retrieves student names with grades above or equal to 70 and stores them in a CSV file. It also stores the rest of the data in an ITI DB database after removing duplicate values.
Abdullah28-gheyad
Abdullah Portfolio
HealthCare-DataWareHosue
Our Healthcare Data Warehouse is a powerful platform for storing and managing healthcare-related data. It streamlines data integration, ensures data quality, and provides a secure environment for healthcare analytics. Simplify data-driven decision-making in the healthcare sector with our robust solution.
Podcast-Transcription-Data-Pipeline-with-Airflow
Episodes Airflow built data pipeline that can download and store podcast episodes using Apache Airflow, a powerful and widely used data engineering tool.
food-app
user can register and login can see products and order product can change user data
Movies-Production-Insights-Pipeline
Unveiling Cinematic Brilliance: Illuminating the Future of Movie Production through Data-Driven Insights