AtScale Blog

The 6 Principles of Modern Data Architecture

Posted by Joshua Klahr on Jan 19, 2018

A version of this article originally appeared on the Cloudera VISION blog.

One of my favorite parts of my role is that I get to spend time with customers and prospects, learning what’s important to them as they move to a modern data architecture. Lately, a consistent set of six themes has emerged during these discussions. The themes span industries, use cases and geographies, and I’ve come to think of them as the key principles underlying an enterprise data architecture.

Whether you’re responsible for data, systems, analysis, strategy or results, you can use these principles to help you navigate the fast-paced modern world of data and decisions. Think of them as the foundation for data architecture that will allow your business to run at an optimized level today, and into the future.

 

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Topics: Hadoop, Business Intelligence, Big Data, Hadoop Summit, Chief Data Officer

Big Data: The Unknown Unknowns

Posted by Bruno Aziza on Jun 22, 2017

Industry leaders know that their challenges with data analytics are spread across 4 areas: confirmation (‘the things they know they know’); intuition (‘the things they don’t know they know’); inspection (‘the things they know they don’t know’); and revelation (‘the things they don’t know they don’t know). 

This last category is often the most tragic for organizations.  Luckily, we now have helpful resources from Tom Davenport's latest webinar on Data Strategy to key research data points on chief data executive's priorities.

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Topics: Chief Data Officer, Analytics, BI on Big Data, CDO, Data Strategy

CDOs: They Are Not Who You Think They Are

Posted by Bruno Aziza on Aug 22, 2016
 

Google the word “CDO” today and your search will mostly results return articles about the “Chief Digital Officer”.  However, if you came to this blog, you’re probably looking for guidance on the other title this acronym refers to: “The Chief Data Officer”...

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Topics: Hadoop, Business Intelligence, Big Data, Chief Data Officer

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