Redgate Summit: The Database DevOps Transformation

Digital transformation and data modernization are frequently cited as high-value strategic projects that are crucial to achieving competitive advantage. At the same time, delivery of code in agile and predictable ways has led to many businesses adopting DevOps practices. Throughout this event we will explore how Database DevOps can be the function that accelerates transformation projects.

Join us On October 6th as we invite experts to share their insider tips and tricks.

How to Visualize Python Charts in Power BI Part 4

In this fourth part of the series, we look at various other plot types in Power BI using Python.

[Video] Fragmentation Explained in 20 Minutes at SQLBits

What does fragmentation mean? How does it happen? Can you fix it with fill factor? Should you rebuild your indexes to fix it?

Time to register for PASS Data Community Summit

The schedule at a glance is now available. Get ready for a week of learning and connecting at the data community homecoming. LAST chance to benefit from Late Bird prices for online and in-person passes.

PostgreSQL Triggers Part 2

Article Overview In this article, we will learn how to drop, alter, enable, and disable a PostgreSQL trigger. In the 1st part of this series, we got an overall view of database triggers, PostgreSQL-specific triggers, types of PostgreSQL triggers, and how to create a trigger with basic syntax and examples. If you haven't read it […]

Optimize Large SQL Server Insert, Update and Delete Processes by Using Batches

In this tip we look at the impact of running SQL Server processes in smaller batches instead of one large operation.

Query processing architecture guide

he SQL Server Database Engine processes queries on various data storage architectures such as local tables, partitioned tables, and tables distributed across multiple servers. The following sections cover how SQL Server processes queries and optimizes query reuse through execution plan caching.

Data Governance: Joining the Dots

Every organization must perform data governance. This requires planning, oversight, and control over the management, security, resilience and quality of data and over the use of data by the organization. In larger organizations, it can be a complex task. William Brewer explains what's involved.

SQL Server and Oracle Transparent Data Encryption Differences and Similarities

In this article, we look at how to set up Transparent Data Encryption for SQL Server and Oracle along with the differences and similarities.

How to visualize Python charts in Power BI part 3

In Part 3, we look at how to use Python to create more charts for Power BI.