Select Page

WhereScape Named Finalist in 2016 Westpac Business Awards.

By WhereScape
| August 8, 2016

The annual Westpac Business Awards recognise organisations from across four Auckland regions (central, north, west and south) for their success in key business areas, including Innovation, Business Leadership, and Exporting.

However, they not only showcase Auckland businesses from a wide range of sectors, but also give organisations the chance to compare against the best of the best in their area.  

The awards are a great opportunity for us to share our story with the Auckland business community and reflect on our journey so far. 

Enterprise Data Warehouse Guide: Architecture, Costs and Deployment

Dec 17, 2025

TL;DR: Enterprise data warehouses centralize business data for analysis, but most implementations run over budget and timeline while requiring specialized talent. They unify reporting across departments and enable self-service analytics, yet the technical complexity...

What Is a Data Vault? A Complete Guide for Data Leaders

Dec 12, 2025

A data vault is a data modeling methodology designed to handle rapidly changing source systems, complex data relationships, and strict audit requirements that traditional data warehouses struggle to manage.  Unlike conventional approaches that require extensive...

New in 3D 9.0.6.1: The ‘Source Aware’ Release

Dec 4, 2025

When your sources shift beneath you, the fastest teams adapt at the metadata layer. WhereScape 3D 9.0.6.1 focuses on precisely that: making your modeling, conversion rules and catalog imports more aware of where data comes from and how it should be treated in-flight....

Data Vault on Snowflake: The What, Why & How?

Dec 3, 2025

Modern data teams need a warehouse design that embraces change. Data Vault, especially Data Vault 2.0, offers a way to integrate many sources rapidly while preserving history and auditability. Snowflake, with elastic compute and fully managed services, provides an...

Data Vault 2.0: What Changed and Why It Matters for Data Teams

Nov 20, 2025

Data Vault 2.0 emerged from years of production implementations, codifying the patterns that consistently delivered results. Dan Linstedt released the original Data Vault specification in 2000. The hub-link-satellite modeling approach solved a real problem: how do you...

Building an AI Data Warehouse: Using Automation to Scale

Nov 12, 2025

The AI data warehouse is emerging as the definitive foundation of modern data infrastructure. This is all driven by the rise of artificial intelligence. More and more organizations are rushing to make use of what AI can do. In a survey run by Hostinger, around 78% of...

Data Vault Modeling: Building Scalable, Auditable Data Warehouses

Nov 5, 2025

Data Vault modeling enables teams to manage large, rapidly changing data without compromising structure or performance. It combines normalized storage with dimensional access, often by building star or snowflake marts on top, supporting accurate lineage and audit...

Building a Data Warehouse: Steps, Architecture, and Automation

Oct 31, 2025

Building a data warehouse is one of the most meaningful steps teams can take to bring clarity and control to their data. It’s how raw, scattered information turns into something actionable — a single, trustworthy source of truth that drives reporting, analytics, and...

Related Content

What Is a Data Vault? A Complete Guide for Data Leaders

What Is a Data Vault? A Complete Guide for Data Leaders

by | Dec 12, 2025

A data vault is a data modeling methodology designed to handle rapidly changing source systems, complex data relationships, and strict audit requirements that traditional data warehouses struggle to manage.  Unlike conventional approaches that require extensive...

New in 3D 9.0.6.1: The ‘Source Aware’ Release

New in 3D 9.0.6.1: The ‘Source Aware’ Release

by | Dec 4, 2025

When your sources shift beneath you, the fastest teams adapt at the metadata layer. WhereScape 3D 9.0.6.1 focuses on precisely that: making your modeling, conversion rules and catalog imports more aware of where data comes from and how it should be treated in-flight....