Webcast: Data Automation is No Longer a Choice

Data projects, such as warehouses, lakes, lakehouses, vaults, and others, have become massively complex in the last decade. What used to be a relatively simple job, of pulling data from a database for analysis, now requires more work, more skill, and better solutions. Pulling data from flat files, web APIs, and many databases is only made more difficult by the variety of architectures and cloud solutions.

Watch this webcast to see how WhereScape’s Data Automation tools can greatly simplify your data projects. Create large, scalable data platforms for analysis in days or weeks, rather than months or years. Learn how to create a 100% documented solution to your needs in a way that is easily maintained and expanded.

WhereScape is the world leader with the broadest technical support in Data Automation.

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Learn more about our unique data productivity capabilities for these leading platforms

Deploy on Microsoft Azure and integrate with Microsoft applications.

Seamlessly work with Amazon Web Services (AWS).

Leverage a complete range of Google infrastructure and data solutions.

Ingest data from multiple sources and deliver more business insights.

DataBricks

Deliver a wider variety of real-time data for Al, ML and data science.

“It took the architects a day and a half to solve all four use cases. They built two Data Vaults on the host application data, linked the two applications together and documented the whole process. This was impressive by any standard. After that it was an easy process to get all the documents signed.”

Daniel Seymore, Head of BI, Investec South Africa

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"At seven months into the project we can say it really worked out. We have been able to really quickly develop an initial MVP for our first country and that was really good. The automation and the changes we needed to do were rapidly applied. We had to remodel a few things and that was done within a day with the automation in WhereScape."

Carsten Griefnow, Senior BI Manager

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"It’s like having five people with only really two people working on it."

Will Mealing, Head of Data & Analytics at L&G

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