This project demonstrates a complete SQL-based ETL (Extract, Transform, Load) pipeline designed to simulate real-world data engineering workflows. The objective of this project is to transform raw CSV ...
Microsoft has dabbled in the ETL (extract-transform-load) marketplace for a long time, in fact, almost 2 decades. Way back in the day, SQL Server shipped with a command-line tool known as the Bulk ...
Global software house Microsoft is making big data the focus of SQL Server 2019, set for release later this year. A key part is data virtualisation, eliminating complex ETL processes. Microsoft says ...
This project implements an ETL (Extract, Transform, Load) pipeline in Python using DuckDB to process and analyze log records (in JSON format). The system extracts the data, calculates usage and ...
PolyBase, a data virtualization feature for SQL Server, allows users to seamlessly query data from various external sources directly using T-SQL (Transact-SQL) without the need for separate client ...
ETL, according to the ETL definition, is nothing more than extraction, transformation, and loading of data. This is a critical step in data warehousing. An easy way to understand this is to look at ...
ETL, according to the ETL definition, is nothing more than extraction, transformation, and loading of data. This is a critical step in data warehousing. An easy way to understand this is to look at ...
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