Repository for tutorials, information, notes and projects about data engineering.

Building a modern data warehouse with SQL Server, including ETL Processes, Data Modeling and Analytics

Building a modern data warehouse using SQL Server,covering end-to-end process from ETL pipelines and data modelling to business-ready analytics

Building a modern data warehouse with SQL Server, Including ETL processes, data modeling, and Analytics

DIRECT, the Data Integration Run-time Execution Control Tool, is a data logistics control framework that can be used to monitor, log, audit and control data integration / ETL processes.

Building a modern data warehouse with SQL Server, including ETL processes, data modeling and analytics.

Comprehensive data warehousing and analytics project, from building a data warehouse to generating actionable insights

This five-day instructor-led course provides students who manage SQL Server and Azure SQL databases with the knowledge and skills needed to administer a SQL server database infrastructure. The material will also be useful to individuals who develop applications that deliver content from SQL Server databases. This material updates course 20764C.

Building a moden datawarehouse with sql server , Including ETL processes , data modeling and analytics

CWTS OpenAlex ETL data pipeline.

Building a modern data warehouse with SQL Server, including ETL processes, data modelling, and analytics.

Building a modern data warehouse with SQL Server, including ETL Processes, data modeling and analytics.

Building a modern data warehouse with SQL server including ETL processes, data modeling and analytics.

A complete, easy-to-follow guide on building a modern data warehouse with SQL Server. Learn how to design ETL processes, create effective data models, and leverage analytics for better insights.

Building a modern data warehouse using PostgreSQL, covering the full data pipeline from raw data ingestion to analytics. This includes designing robust data models, implementing ETL processes, and organizing data into bronze, silver, and gold layers to support efficient analysis and reporting.

Build a modern data warehouse with SQL server, including ETL , data modeling, and analytics

Building a modern data warehouse with SQL Server, including ETL processes, data modeling and analytics.

Building a modern data warehouse with AQL Server, including ETL processes, data modeling and analytics.

End-to-end SQL Data Warehouse project using T-SQL and ETL pipeline (Bronze → Silver → Gold)

An end-to-end data analysis of the audiobook market using SQL for in-depth data cleaning, transformation, and querying. Uncovers key insights into market trends, author performance, and pricing strategies, with visualizations in Tableau.