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 integration and data analytics, a solution needs to be developed at the crossroads of artisanal big data management and augmented existing automation technology.

In this white paper, you will learn:

  • How the approach to organizing and storing large volume data sets has evolved over time
  • How big data automation (BDA) can harness business value from big data while bypassing outdated manual tasks
  • Key steps to transitioning from artisan-style big data projects to automated logical data warehouses
  • The benefits of adopting big data automation from the outset using automated data integration tools

To read more, please download the full White Paper below.

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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.


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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WhereScape’s Automation Tools Propel Voys Towards Success

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Data Acceleration: Five Steps to Success – A WhereScape Executive Guide

Read Gartner Report →

Webcast: Learn How to Become a Productive Data Superhero!

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Interview: AVP of Enterprise Architecture about Data Automation at Genesee & Wyoming Inc

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