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Benefits and limitations of big data, plus finding and solving data quality problems and answers to the 3 ey cybersecurity questions you should ask.
Changing your approach to data preparation, plus why the best data scientists tell stories and 8 basic tips for getting the most from big data.
Online survey and assessment guide helps organizations determine how ready they are to adopt and implement Hadoop; offers best practices customized to the user’s situation for moving forward with Hadoop.
Articles of interest today focus on data visualization (including spatial analytics) and the five common pitfalls of predictive analytics.
Why the federal government is so slow adopting big data, plus teh shift after the tipping point of BI and analytics, plus pointers for moving to the cloud.
Collecting lots of data is inexpensive. Finding the right place to use that data is crucial for getting the greatest benefit.
In an era of ever-expanding data volumes and heterogenous data-processing requirements, Vertica really shines, HP officials maintain.
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