Business needs and performance expectations: Data management for analytics

In the last few days, I have heard the term “data lake” bandied about in various client conversations. As with all buzz-term simplifications, the concept of a “data lake” seems appealing, particularly when it is implied to mean “a framework enabling general data accessibility for enterprise information assets.” And of […]

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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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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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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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Finding the signal in the analytics noise

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

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Using Hadoop: Impacts of data organization on access latency

Hadoop is increasingly being adopted as the go-to platform for large-scale data analytics. However, it is still not necessarily clear that Hadoop is always the optimal choice for traditional data warehousing for reporting and analysis, especially in its “out of the box” configuration. That is because Hadoop itself is not […]

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Big data preparation, big data quality and big data governance, oh my!

This isn't Kansas anymore. Oz has become a sprawling, smart metropolis filled with sensor data. How do we make sense of, clean, govern and glean value from this big data so we can get Dorothy home? The answer is SAS Data Management. With the latest portfolio updates, customers will be […]

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Dead, or as good as dead: The end of an era for thin clients

In an era long gone by (actually not so long ago) we all interacted with computers via terminals to a mainframe or minicomputer systems. Sometimes, you had to book a slot for when you could access and exploit computer resources. The user was subject to interrupted connections or very poor […]

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