We recently looked at the idea of the data lake, so now it’s time to head downstream and look at data warehouses. We’ll define data warehouses, look at the data types they comprise, the storage they ...

Adopting the latest technology infrastructure to explore new business opportunities and achieve sustainable growth is a must for businesses of all sizes. As a part of this process, most successful ...

In the wave of digital transformation in the manufacturing industry, Manufacturing Execution Systems (MES) are becoming essential tools for enterprises to enhance efficiency and optimize ...

The true measure of an effective data warehouse is how much key business stakeholders trust the data that is stored within. To achieve certain levels of data trustworthiness, data quality strategies ...

Cloud data warehouses have emerged as the go-to repositories for amassing huge amounts of data and running advanced analytics and AI upon it. This is great news for customers, who no longer must worry ...

Oracle recently announced an update to its Autonomous Data Warehouse (ADW) service. The update positions the company to gain market share against its cloud rivals in the competitive cloud data ...

By setting upper and lower limit thresholds for key parameters such as temperature and pressure, the MES immediately sends ...

What is the key to a successful Data Warehouse? Strategy, design, and implementation! This book skillfully provides a conceptual and working model of a successful Data Warehouse process that is ...

Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...

First, there was a data warehouse – an information storage architecture that allowed structured data to be archived for specific business intelligence purposes and reporting. The concept of the data ...