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Content Types
About 11 results
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The four phases of Big Data: A retrospective
Now that last fall's IBM and Oxford University survey about Big Data is in wide circulation, we revisit it to get some impressions from industry experts.
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Preparing today for the Big Data challenges of tomorrow
Big Data challenges of tomorrow are many. Will Kelly brings us some insight from Big Data leaders on how to meet those challenges.
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Unconventional uses of Big Data and predictive analytics
Will Kelly tells us about some unconventional uses of Big Data and predictive analytics that are happening across multiple industries.
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Apply Big Data to the email fight
Will Kelly looks at how Big Data technologies can be applied against a number of enterprise email issues now and in the future.
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Big Data projects signal change in documenting
Big Data projects especially in the beginning can mean having to change how your organization documents technology projects.
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Three applications of M2M and Big Data
Will Kelly points out three areas where Machine to Machine (M2M) technologies and Big Data are coming to together to deliver business results.
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The convergence of mobile and Big Data
Mobile BI apps are a necessary part of any Big Data strategy. Will Kelly looks at some mobile BI apps from Pentaho, SAS, and SAP.
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The role of the Data Scientist in Big Data
The role of the Data Scientist can be wide ranging while critical to large-scale Big Data efforts. Will Kelly peers into the role of the Data Scientist.
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Choosing a Big Data vendor
After establishing your core Big Data team in-house, it might be time to bring in an outside vendor for assistance. Will Kelly offers tips on choosing a Big Data vendor.
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Foster Big Data expertise in-house
Big data is of such strategic importance, Will Kelly advocates fostering Big Data expertise in-house first before outsourcing.