The Data Roundtable

Data Management

Understand why managing your data is essential for analytics

t-shirt (wearable) embedded with sensors

Todd WrightAugust 30, 2016 0

Streaming data and wearables: Allies against rising health care costs

It’s nearly impossible to avoid the debate. From politicians and pundit commentary, to dinner table discussions across the United States, the hot topic for the last several years has been the rising cost of health care. Consider that health care expenditures in the US were $3 trillion in 2014 and are

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Data Management

business man thinking about data prep for analytics and Hadoop

Dylan JonesAugust 29, 2016 0

Data preparation strengthens Hadoop information chain

Hadoop has driven an enormous amount of data analytics activity lately. And this poses a problem for many practitioners coming from the traditional relational database management system (RDBMS) world. Hadoop is well known for having lots of variety in the structure of data it stores and processes. But it's fair to

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Data Management

garage storage system represents data modernization

Matthew MagneAugust 25, 2016 0

What can a garage storage system, kayak and surfboard teach you about data modernization?

Two years ago, I found myself the proud, first-time owner of a garage. My wife and I quickly started to add new items to the garage – a battery-powered lawn mower, two beach cruisers and four Tommy Bahama beach chairs. They were stored with ease. What a fantastic world I'd been missing out on. But it wasn't long before we outstripped our

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Data Management

Phil SimonAugust 24, 2016 0

Data prep considerations for analytics, Part 2

.@philsimon continues his series on data prep and anlytics.

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Data Management

Joyce Norris-MontanariAugust 22, 2016 0

Clean-up woman: Part 2

In my last post, I talked about how data still needs to be cleaned up – and data strategy still needs to be re-evaluated – as we start to work with nontraditional databases and other new technologies. There are lots of ways to use these new platforms (like Hadoop). For example, many

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Data Management

Phil SimonAugust 17, 2016 0

Data prep considerations for analytics, Part 1

I'm hard-pressed to think of a trendier yet more amorphous term today than analytics. It seems that every organization wants to take advantage of analytics, but few really are doing that – at least to the extent possible. This topic interests me quite a bit, and I hope to explore

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Data Management

David LoshinAugust 15, 2016 0

Data cataloging for data asset crowdsourcing

What does it really mean when we talk about the concept of a data asset? For the purposes of this discussion, let's say that a data asset is a manifestation of information that can be monetized. In my last post we explored how bringing many data artifacts together in a

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Data Management

cleanup woman thinking of data preparation for analytics

Joyce Norris-MontanariAugust 10, 2016 0

Clean-up woman: Part 1

If your enterprise is working with Hadoop, MongoDB or other nontraditional databases, then you need to evaluate your data strategy. A data strategy must adapt to current data trends based on business requirements. So am I still the clean-up woman? The answer is YES! I still work on the quality of the data.

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Data Management

Dylan JonesAugust 8, 2016 0

Data prep and self-service analytics – Turning point for governance and quality efforts?

The demand for data preparation solutions is at an all-time high, and it's primarily driven by the demand for self-service analytics. Ten years ago, if you were a business leader that wanted to get more in-depth information on a particular KPI, you would typically issue a reporting request to IT

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Data Management

Phil SimonAugust 4, 2016 0

Modernization requires unification

.@philsimon channels his inner Queen Latifa.

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