Data Architecture

Data Architecture news, information, and how-to advice

Hadoop elephant code

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Roadmapping: The key to getting your digital house in order

Here's what a best-practice roadmapping approach looks like, plus a structure to set your course

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Hortonworks buys better Hadoop data flow management

Hortonworks' newest acquisition is a prelude to creating an open-source-based data flow management product

Customer Experience

X marks the spot for digital transformation

Getting customer experience right is becoming a make-or-break for many businesses. And best-in-class digital transformation must be underpinned by enterprise, business, and IT roadmaps -- that is, by enterprise architecture

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5 steps to becoming an enterprise architecture ninja

Enterprise architects who have a clear view of where they fit in the EA pecking order and a roadmap for taking their practice to the next level are likely to prosper

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Which approach to use for your data APIs: generic or specialized?

Common wisdom calls for a single, generic API to concentrate all interactions between frontend and backend. But the continuous increase in the diversity of client devices and objects makes architects rethink this design and take a...

Data Security

Delphix secures sensitive data in the cloud by virtualizing it

New approaches to data virtualization and masking are aiding the movement of enterprise datasets to the cloud while keeping them secure and versatile

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It’s not just your daddy’s data

With data centricity coming back to the front of the stage, the focus is again placed on data. But with new types and sources of data, required by the business, enterprise IT is no longer in control, yet proper management and...

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The decline and fall of big data

The most hyped technology of the past decades, big data will soon be part of the daily life for 73% of IT organizations. When big data becomes just data, the hype will decline and fall but big data itself, and the associated...

How to survive the data explosion

IT organizations everywhere are racing to deal with the onslaught of petabytes. Here's how to meet the challenge

Never put everything in one database basket, even if it's Hadoop

Those who recommend putting everything in a Hadoop data lake forget some obvious lessons of database history

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