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From Data to Wisdom

Much is made today of the possible wisdom to be gleaned from a wealth of available data. I am one of those who, through experience, believe this to be true. However, there are a couple steps necessary to achieve wisdom from data. Knowledge from information leads to action and when actions are repeated enough, organizations achieve wisdom. With enormous attention cast toward “Big Data,” I’d like to emphasize that without knowledge and action, data means next to nothing. I worked as an expert in Business Intelligence, Reporting, and Analytics for ten years before shifting my focus to Enterprise Web Content Management. And while BI and Content Management are “different”, they share a similar objective ---getting the right information to the right people at the right time and in the most appropriate format. Business Intelligence and big data have a special interest to me. Imagine an organization(s) where data flows seamlessly (whether the data is internally generated or externally … [Read More...]

Other Recent Posts

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Why DAM is a growth industry

This statistic from this press release by a market research group caught my attention last week: investment in digital asset management (DAM) is expected to grow from $1.16 billion in 2014 to $4.12 billion by 2019. That’s a growth rate of more than 28% per … [Read More...]

Direction Uncertainty

Chaos and Confusion

I have worked as an IT consultant for nearly 20 years and at the beginning of my career a mentor said to me “Chaos and Confusion is the environment we work in”.  Our job is to bring sane practical perspectives to address the hype surrounding new IT tools and … [Read More...]

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Getting Started with Giraph

Apache Hadoop's core analytical tools (e.g. MapReduce, Hive, Pig) are great for performing batch analytics over large, unstructured data sets.  However, a myriad of data sets are comprised of a more graph-like structure. Examples of such data sets … [Read More...]

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MarkLogic Gets JavaScript

Six months ago, I was down at the MarkLogic World San Francisco conference just south of SFO, listening to the opening speeches. I was there primarily to hear more about what would end up being in the second phase of their Semantics offering, when a mention … [Read More...]

Flexible Metadata

DAM and Flexible Data Models Using Document Databases

In my last post, I demonstrated a "flexible" way to store digital asset metadata inside a relational database. The results were not perfect. Relational databases require a strict data schema so that all information fits into pre-defined two-dimensional tables. … [Read More...]