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…
Best Security Practices For Data Warehouses | Data Warehouse Information Center[…] information about security protocols and ensuring all the personnel in the proximity ...
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…
What Is Data Engineering? | Boost Labs[…] is possible to build denormalized data tables from fact tables and dimensio...
SQL vs. NoSQL: A Cmparison | Data Warehouse Information Center[…] through column entries.This relationship between database objects is visually represe...
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…
Data Warehouse Cleansing - Eliminate Bad Data in Your Data Warehouse[…] analysis. This blog post is focused on the importance and challenges associated with ...
Decoding the Abstraction Layer in Data Warehousing | Data Warehouse Information Center[…] when accessed. Different view levels can be offered to different tiers of users. More...
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…
Date Virtualization for Agile Data Warehousing | Data Warehouse Info[…] Data virtualization serves as an alternative to ETL and traditional data warehousing ...
Data is getting bigger every second, with research firms predicting that each person will generate at least 1.7 megabytes of data every second by 2020. So it’s no surprise that…