With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

The Jupyter notebook system gives Python users a visual, interactive way to run code, display the results, and share the source with others. But Jupyter notebooks have limited interactivity.

What resources would you recommend for developers to get up to speed with using .NET Aspire with SQL Server and Azure SQL Database in enterprise environments and prepare for your session? I already ...

Jupyter Notebooks are a powerful tool for data science, allowing users to write and execute code, visualize data, and document workflows interactively. They are widely used for data exploration, ...

Jupyter Notebook is a widely used and accessible open-source application that allows to create documents containing code, equations, visualizations, and narrative text. It’s widely used for data ...

Jupyter Notebook, an open-source web application, has become a go-to tool for data scientists worldwide. Its interactive and user-friendly interface makes it an excellent choice for data analysis, ...

With the “%%sql” magic instructions, the integration of SQL queries into Jupyter Notebooks is simplified. It allows the users to execute SQL queries directly inside the notebook environment. This ...

Applications that use the Jakarta Persistence API shouldn’t embed too much raw SQL in their code. However, when you need an SQL query for performance reasons or to access the database in a way that ...

Having installed the SQLTools extension, setting the Language mode of een Jupyter Notebook cell to "SQL" works well. However, executing a query only works by mouse clicking on "Run on active connec ...