The Data Roundtable

Data Management

Understand why managing your data is essential for analytics

David LoshinApril 9, 2015 0

Differentiating process, persistence, and publication: Data management for analytics

As part of two of our client engagements, we have been tasked with providing guidance on an analytics environment platform strategy. More concretely, the goal is to assess the systems that currently compose the “data warehouse environment” and determine what the considerations are for determining the optimal platforms to support

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Analytics | Data Management

Dylan JonesApril 8, 2015 0

Lineage, data quality and continuity: Keeping your data analytics healthy

The adoption of data analytics in organisations is widespread these days. Due to the lower costs of ownership and increased ease of deployment, there are realistically no barriers for any organisation wishing to exploit more from their data. This of course presents a challenge because the rate of data analytics adoption

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Data Management

Phil SimonApril 6, 2015 0

The need for speed: A look at real-time analytics

You may feel like the world is moving faster than ever. If so, then you can take solace in two facts: You're not alone in feeling this way. You're right. It is. Celebrating the 25-year anniversary of the Web, The Economist ran a piece examining the increasingly rapid adoption of new technologies.

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Data Management

Joyce Norris-MontanariMarch 31, 2015 2

Hadoop and big data management: How does it fit in the enterprise?

The other day, I was looking at an enterprise architecture diagram, and it actually showed a connection between the marketing database, the Hadoop server and the data warehouse. My response can be summed up in two ways. First, I was amazed! Second, I was very interested on how this customer uses

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Data Management

Business people discussing who owns big data

Jim HarrisMarch 26, 2015 4

Who owns big data?

Jim Harris says the question of who owns big data is no longer an esoteric concept – it's a frequently debated topic.

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Data Management

Matthew MagneMarch 24, 2015 0

SAS MDM new release brings harmony to big data discord

I've been in many bands over the years- from rock to jazz to orchestra - and each brings with it a different maturity, skill level, attitude, and challenge. Rock is arguably the easiest (and the most fun!) to play, as it involves the least members, lowest skill level, a goodly amount of drama, and the

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Data Management

Matthew MagneMarch 23, 2015 0

EMC and SAS redefine big data analytics with the data lake

Adoption of Hadoop, a low-cost open source platform used for processing and storing massive amounts of data, has exploded by almost 60 percent in the last two years alone according to Gartner. One primary use case for Hadoop is as a data lake – a vast store of raw, minimally processed data. But, in many ways, because

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Data Management

Dylan JonesMarch 19, 2015 0

Stability and predictability: The alternative selling points for your data quality vision?

One thing that always puzzled me when starting out with data quality management was just how difficult it was to obtain management buy-in. I've spoken before on this blog of the times I've witnessed considerable financial losses attributed to poor quality met with a shrug of management shoulders in terms

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Data Management

Phil SimonMarch 17, 2015 0

Finding the signal in the analytics noise

.@philsimon looks under the hood of 'analytics.'

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Data Management

Clark BradleyMarch 12, 2015 0

Provisioning data for advanced analytics in Hadoop

The data lake is a great place to take a swim, but is the water clean? My colleague, Matthew Magne, compared big data to the Fire Swamp from The Princess Bride, and it can seem that foreboding. The questions we need to ask are: How was the data transformed and

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