Este proyecto implementa un pipeline ETL completo para integrar datos de ventas heterogéneos y prepararlos para un Data Warehouse. Los datos provienen de dos canales de venta: Catálogo y Web ...

DataEngineerAssessment/ │── etl/extract.py # Extracts & augments data │── etl/transform.py # Cleans & structures data │── etl/load.py # Loads data into PostgreSQL │── etl/main.py # Orchestrates ETL ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

Conozca algunas formas efectivas de supervisar las integraciones de ETL con Microsoft SQL Server mediante herramientas integradas, soluciones de terceros y procedimientos recomendados.

By moving the transformation logic to SQL, there is a separation between the ETL pipeline and the SQL scripts. This helps in easier maintainability and ease in running tests on the SQL scripts; The ...

Microsoft first truly disrupted the ETL marketplace with the introduction of SQL Server Integration Services (SSIS) back with the release of SQL Server 2005. Microsoft has upped the ante yet again by ...

ETL steht für Extrahieren, Transformieren und Laden, ein Prozess, bei dem Daten aus verschiedenen Quellen in ein Data Warehouse oder einen Data Mart verschoben werden. SQL Server ist ein ...

BlazingSQL builds on RAPIDS to distribute SQL query execution across GPU clusters, delivering the ETL for an all-GPU data science workflow. Topics Spotlight: AI-ready data centers ...

Its connectors can detect detailed data flow/transformation details from database scripts and stored procedures, ETL packages, BI models and reports. Octopai announces new layered data lineage ...

Microsoft says its flagship database product, SQL Server 2019, will make it a lot easier to manage a big data environment. In fact, the product supports a rich variety of environments like Hadoop ...