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ADW-2017

Teradata data-warehouse ETL

Overview

This project focused on centralizing data into a data warehouse for efficient querying and reporting through automated ETL processes.

ETL Processes

Utilizing Teradata BTEQ and Teradata FastLoad, the ETL processes included:

  • Data Cleansing: Removing duplicates and correcting inconsistencies to ensure data quality.
  • Transformation: Applying business rules to convert raw data into structured and usable information.
  • Data Loading: Efficiently loading the transformed data into the data warehouse.

ETL Implementation

  • Implemented a pre-existing normalized schema for effective data storage and retrieval.
  • Loaded and transformed raw CSV data into the warehouse, ensuring alignment with the schema and business rules.
  • Used Teradata FastLoad for fast data ingestion and validated data integrity throughout the process.

Technologies Used

  • Teradata Studio: An administration toolkit that helps users to create and administer database objects.
  • Teradata BTEQ: Core ETL scripting tool for data extraction, transformation, and loading.
  • Teradata FastLoad: Specialized utility for rapid loading of large datasets into the database.

LMu4W

About

This repository showcases a data warehousing project focused on building and maintaining a robust data warehouse using Teradata for ETL processes. It covers everything from data extraction and transformation to the integration and creation of interactive dashboards for detailed analysis.

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