Index Types in PostgreSQL: Learning PostgreSQL with Grant

In this article I’m going to go over the different types of indexes and some index behaviors. We’ll get into what the indexes are, how they work, and how best you can apply them within your databases. I’m hoping you’ll develop an understanding of which indexes are likely to work better in each situation.

Privileges and Roles in SQL Server, Oracle and PostgreSQL - Part 1

This tip will review the different ways of granting privileges in SQL Server, Oracle, and PostgreSQL, the differences in the concepts of roles, schemas, and owners, and the way to grant permissions on the whole schema.

Schedule Jobs on a Clustered SQL Server

In this article, you will learn how you can schedule jobs in a clustered environment that will only execute on the primary node.

The Database DevOps Transformation

Digital transformation is a buzzword that is often thrown about. But what isn’t discussed in depth, is how DevOps fits into the initiative and what the pitfalls are.

This on-demand session answers these questions and provides actionable takeaways from real-life database deployment automation projects.

You’ll also hear how the key trends in Database DevOps have influenced Flyway product development.

Nullable vs Non-Nullable Columns and Adding Not Null Without Downtime in PostgreSQL

In this article, we are going to talk about nullable and non-nullable columns specifically related to Postgres databases. While the reasons to use nullable or non-nullable columns may seem obvious at first, there are pitfalls associated with each decision that either affect development velocity, affect application performance, or cause downtime. Let's start with definitions. Nullable […]

Extend your Power BI Reports with Analysis Services 2022 Data

This tip walks through the steps of how to combine data from SQL Server Analysis Services SSAS 2022 with other data using Power BI Desktop.

Testing Databases: What’s Required?

An overview of the challenges of database testing and test data management, reviewing the different types of database test that need to run during development work, what sort of test data they require, and how to manage all the required data sets, during development, in a way that allows rapid cycles of parallel testing.

The Data Fabric – Future of Data Management

This article provides an overview of Data Fabric and its components.

Ingesting Data from Google Drive to Azure Data Lake Gen2 using Azure Data Factory

Learn how to setup, configure and ingest data from Google Drive using Azure Data Factory in this step-by-step article.

Introducing the MySQL common table expression

As with many relational database management systems, MySQL provides a variety of methods for combining data in a data manipulation language (DML) statement. You can join multiple tables in a single query or add subqueries that pull data in from other tables.