Big Data
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 October 24, 2016

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7 Keys To Building A Successful Big Data Infrastructure
The infrastructure you build for big data, whether you're looking at software or hardware, will have a huge impact on the analysis and action your big data systems will support. Here are 7 factors that can make a big difference when building your big data architecture.
Hadoop Migration Pays Off For PRGX
Recovery audit services company PRGX is leveraging the lower storage cost and faster analytics speeds available in a Hadoop and Talend big data stack to realize more cost savings and revenue for customers.
OpenCAPI Opens New Realm Of Data Handling
IBM, Google, HPE, Dell, and others have combined resources to promote the OpenCAPI standard, which aims to boost the performance of data center servers tasked with analyzing large amounts of data.
Zillow Uses Analytics, Machine Learning To Disrupt With Data
Industry disruptor Zillow leverages data about residential real estate and makes it available to the general public. The company's senior director of data science and engineering shares the secrets behind Zillow's data stack.

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10 Best US Cities For Tech Jobs In 2016
Glassdoor recently released its report on the best cities for jobs in 2016 based on factors including cost of living, job satisfaction, and work-life balance. Which of these cities on its list are best for IT pros? We take a look.

9 Raspberry Pi Projects For Your Summer Vacation
The right Raspberry Pi project can make the summer fun and educational. Here are nine possibilities that fit the bill.

7 Keys To Building A Successful Big Data Infrastructure
The infrastructure you build for big data, whether you're looking at software or hardware, will have a huge impact on the analysis and action your big data systems will support. Here are 7 factors that can make a big difference when building your big data architecture.

Hadoop: Pros And Cons For Enterprise Users
There's been plenty of buzz about how Hadoop can store, process, and analyze huge files and large volumes of files like no other technology before it. But is this open source distributed big data system really suited for enterprises? We look at the pros and cons.

9 Reasons DevOps Is A Dirty Word
DevOps means a massive change for most organizations and requires serious commitment from management and workers. It isn't for everyone, but is it really for anyone? Here are nine reasons DevOps might not be right for you and your organization.

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BI On Hadoop Success: 7 Things To Know

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