Exploring Hive Tables with Spark SQL

In this article, we will look at how to use an Azure Databricks Workspace to explore Hive tables using Spark SQL along with several examples.

New DevOps Process Improvement Course

However chaotic or predictable your DevOps processes currently are, the new video learning pathway from the Redgate University will help you prioritize what to improve first, provide step-by-step guidance on how to implement those improvements, and show you ways to measure them. Start learning.

Poking the Bear

If you're an experienced, knowledgeable, seasoned (I won't say old), SQL Server data professional, and you choose to use Trace Events (Profiler), more power to you. That's it. That's all I have to say. Do what you think best. I'm never, ever (again), going to second guess you. Further, my apologies for ever having done […]

Data Activity Tracking Using SQL Triggers

This article goes into a framework for tracking data manipulation activity using a few triggers.

The Enterprise Roadmap to Reducing Costs (While Increasing Value)

Every enterprise is now facing the same challenge: to do more with less in a demanding economic environment. They're expected to release value to customers sooner while at the same time controlling the costs of their infrastructures, retaining skilled staff, and reducing risk. What role does the database play in balancing this challenge? Read on to find out.

What do you do to relax after work?

Is the stuff we do in our off hours truly relaxing or just taking up time?

Connect to SQL Server with Python to Create Tables, Insert Data and Build Connection String

Stairways to ScriptDOM Level 4 – Finding Nuanced Patterns

This level of the Stairway to ScriptDOM looks at finding more complex instance of anti-patterns in your code.

We are All Data Companies

Many companies are data companies, whether they realize it or not.

Data Masking in Principle

This is the first of two articles to describe the principles and practicalities of masking data in databases. It explains why an organization sometimes needs masked data, the various forms of masked data we can use, the sort of data that needs to be masked, and the potential pitfalls.