How Data Masking Provides Security within a Data Warehouse

How Data Masking Provides Security within a Data Warehouse

The immense amount of sensitive information stored in data warehouses makes them attractive targets for data hackers. This means that securing a data warehouse efficiently is of high importance. At…

Data warehousing concepts

Normalization and Denormalization – Differences through Use Cases

Introduction Today, the most common argument among data warehouse managers is determining which schema is more performance-oriented. However, it’s critical to know that neither of the normalization or denormalization approaches…

The 3 Stages of Data Cleansing to Ensure Data Accuracy in Your Data Warehouse

The 3 Stages of Data Cleansing to Ensure Data Accuracy in Your Data Warehouse

Are you embarking on a cleansing journey for your data warehouse initiative? In this article, we will cover the 3 phases of data cleansing to help you define a process…

Which Data Integration Approach is Right for You?

An enterprise uses an average of 928 applications, along with many other on-premise systems. This means that you can have about a thousand source systems from different vendors, each storing…