Abdullah28-gheyad/AdventurWorks-Sales-Cubit

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Abdullah28-gheyad/AdventurWorks-Sales-Cubit

Abdullah28-gheyad

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Trip-Application

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.

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.

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.

food_admin_panal_app

Telecom-SSIS

Adventur-Works-DataMart

Practical-Session-Spark-SQL-

Jupyter Notebook

PySpark-Streaming-Data-Analysis

Jupyter Notebook

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.