WhereScape RED

Tencate Protective Fabrics

Tencate Protective Fabrics

ERP Systems Consolidated into a Single Data Warehouse How Tencate Partnered with WhereScape for their Data Automation   The challenge Tencate had separate teams operating data marts in the United States and the Netherlands. They had been generating reports from...

WhereScape RED 10.0.0.0 Features and Highlights

WhereScape RED 10.0.0.0  Key features include: PostgreSQL metadata repository unifying all products on a single platform New Scheduler with scalable cross-platform architecture Refreshed Look & Feel the first of several planned UI upgrades Linux execution within...

Data Warehouse Implementation: The Dimensions of Fast

WhereScape® RED provides a productivity boost by building, prototyping, and enhancing data warehouses 10 to 100 times faster than traditional products. This white paper examines each of the following factors that influence project duration and speed of delivery: Rapid...

Big Data Automation

Since the beginning of the Big Data revolution, IT teams have struggled with how to optimally organize big data sources and big data sets given their limited resources, and big data’s historically manual, artisanal handling. To move forward with big data...

The CDO View: Scaling Quick Wins with a New Data Team

The CDO View: Scaling Quick Wins with a New Data Team

The CDO View is a series of webinars from the perspective of a successful CDO, giving insights into how technology can be utilized to deliver exceptional performance at large organizations. This series of three webinars are hosted by Simon Asplen-Taylor, previously...

BISUM Podcast / ROI, TCO & the extended data warehouse

Financial justification is critical in any project, and data warehouses are no different. Following on from an ROI presentation at the Pacific Northwest BI Summit, WhereScape President Michael Whitehead sat down with Claudia Imhoff, President of Intelligent Solutions,...

BBBT Podcast/WhereScape & Data Warehouse Automation

Business users can and should author their own content. But what about data preparation? Should this go the same way – the data wrangling vendors are going from strength to strength? Is ETL still the answer for heavy duty data integration? What about Data Warehouse...