In this project we have Business requirements, we have sales outlet data available in azure sql database and we need to transform, clean this data and move to ADLS Storage.Business and Data Scientist ...

SQL ETL Pipeline is a production-ready Extract, Transform, Load (ETL) system that demonstrates SQL proficiency, data validation, and ETL best practices. The pipeline processes structured data from ...

BlazingSQL builds on RAPIDS to distribute SQL query execution across GPU clusters, delivering the ETL for an all-GPU data science workflow. BlazingSQL is a GPU-accelerated SQL engine built on top of ...

Data Integration vs ETL: What Are the Differences? Your email has been sent If you're considering using a data integration platform to build your ETL process, you may be confused by the terms data ...

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 ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...