The world of data has changed for sure. Especially over the past several years. In fact, the pandemic accelerated some changes, like the migration to cloud-based data platforms. When everyone needed to be remote, it just made sense to move to the cloud and use a...
A data warehouse architecture defines the overall architecture of data communication. From processing the data to presenting it for end-clients computing, each data warehouse is characterized by some vital components within the enterprise. Data warehouse applications...
Welcome to the WhereScape Metadata Integration, Model Test Automation, and Enablement Pack Release! Hot on the heels of our December “DevOps” release, we are delighted to announce the General Availability of WhereScape 3D 8.6.6. This includes new Metadata...
In my previous blog, we talked about quick wins. One of the criteria of a good quick win is that it can be built on or repeated at a later date. That later date has now arrived. We have to be careful not to take on a myriad of projects that are unrelated to each...
The Data warehouse and data lake are the two leading solutions for enterprise data management. While data warehouses and data lakes might share some overlapping features and use cases, there are fundamental differences in the data management philosophies, design...
Quick win: An immediate improvement that delivers obvious value to the business. Because of the short deadline (two to three months), quick wins tend to be easy to implement but limited in scope. The best quick wins can be built on or repeated at a later date. In 2009...
Data analytics is a process of analyzing raw data in order to draw out meaningful, actionable insights. These insights are then used to inform and drive smart business decisions. Data analytics technologies and techniques are widely used in commercial industries to...
I am incredibly pleased to announce the latest release of WhereScape 3D and WhereScape RED that focuses on three main areas: DevOps automation workflows, Cloud data source discovery and Improved collaboration. What's New? We affectionately refer to this as our...
Gartner’s paper, Data Hubs, Data Lakes and Data Warehouses: How They Are Different and Why They Are Better Together, serves as much as a cautionary piece as an informative one. Based on inquiries made to the analyst firm over the past few years, is it apparent...