Melissa's Azure integration of SSIS components extends data quality to the cloud and supports flexible, scalable ETL and master data management processes.

Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its ...

Audi is implementing AI across its factories to guide decision-making and production at scale. What makes Audi’s approach to ...

By Kaunda ISMAILThis article discusses key tools needed to master, in order to penetrate the data space. Such tools include ...

This time at I/O, Google appeared to get the upper hand, vibe-wise, with a flurry of new models and features, a vision of a ...

Source: Agency documents assembled by The New York Times These intimate details about the personal lives of people who live in the United States are held in disconnected data systems across the ...

and custom Web API code, unit tests, and pipelines. Data API builder for Azure Databases and What are SQL database projects? are two of my favorite developer links. The Last Takeaway One takeaway I'd ...

Have you ever struggled with a database performance problem or ever struggled to write T-SQL code to solve a business ... product than the Copilot for Azure Data Studio that I wrote about in ...

It is built around a data lake called OneLake, and brings together new and existing components from Microsoft Power BI, Azure ... and SQL), and data pipelines (discussed in the Data Factory ...