2012, ETL and SQL - Data Science Current

CI/CD for Data Pipelines: A Game-Changer with AnalyticsCreator

Data Science Blog

MAY 20, 2024

It also supports a wide range of data warehouses, analytical databases, data lakes, frontends, and pipelines/ETL. This includes the creation of SQL Code, DACPAC files, SSIS packages, Data Factory ARM templates, and XMLA files. Pipelines/ETL : It supports SQL Server Integration Packages (SSIS), Azure Data Factory 2.0

Data Pipeline

Data Pipeline Data Warehouse Azure Data Lakes

Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks

AWS Machine Learning Blog

APRIL 16, 2024

They then use SQL to explore, analyze, visualize, and integrate data from various sources before using it in their ML training and inference. Previously, data scientists often found themselves juggling multiple tools to support SQL in their workflow, which hindered productivity.

SQL

SQL AWS Database Data Scientist

Data Science Current

CI/CD for Data Pipelines: A Game-Changer with AnalyticsCreator

Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks

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