R and Python already had access SQL Server ... like the social media one we just discussed. SQL Server can query across a heterogeneous mix of graph tables and conventional ones.

The key in all of these cases is to first identify the slowly running queries on SQL Servers. If you aren't that familiar with SQL Server, this may seem difficult, but it's actually pretty easy.

But Python, in combination with open source libraries like NumPy and Pandas, is undeniably important in the same arena. And now that SQL Server accommodates both languages, Microsoft has made ...

I had a python script that needs to access an oracle ... which it's complain about the percent sign being in the query. I've tried escaping it and doing all sorts of stuff to try and get it ...

Effectively, those methods can become just thin wrappers around SQL queries. If you want to play with SQL Server’s JSON support (or the other big new feature in SQL Server 2016, temporal tables), you ...

In other words, despite the fact that the motivation for SQL was to use standardized declarative queries, in the real world you see lots of database-specific procedural server programming.

Data queries written in Python, a commonly used programming language, can grind data analytics platforms to a crawl, but a new platform may finally solve the Python efficiency problem. Researchers ...