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...
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Why the Ability to Scale is Transformative for Data Teams
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...
What is the Difference Between a Data Lake and a Data Warehouse?
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...
Why Quick Wins are the Bedrock of Data Delivery
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...
What is Data Analytics?
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...
WhereScape December 2021 Release: Let’s find out what’s new
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 Report on Data Hubs, Lakes & Warehouses Highlights Knowledge Gap for Data Managers
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...
What is a Data Warehouse?
A data warehouse is an organized and centralized structure built based on your organization's needs. It stores current and historical data in one single place, that are used for business intelligence and data analysis reporting. Data warehouses are vital to showcase...
From Data Warehouse Automation to Data Architecture Automation
For a long time, the data warehouse architecture was the sole ruler of data delivery to decision-making processes, but not anymore. It now has to share the stage with other data architectures, such as the data lake, data hub, and data lakehouse. Because the data in...