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Enterprise architecture for big data: Build it or buy it?
CIOs looking to make mountains of big data actionable are deliberating whether it's best to build their own enterprise architecture for big data or source the necessary technology from providers. There are pros and cons to each approach, as SearchCIO Senior News Writer Nicole Laskowski explores in this issue of CIO Decisions ezine through interviews with a series of CIOs, IT leaders and experts, who say that you must start the architecture journey by parsing the ambiguity of the term big data itself.
Also in this issue, we interview Kirsten Wolberg, PayPal's VP of technology business operations, about her company's shift to Agile, which changed the way 510 cross-functional teams and thousands of employees operate; drill down into seven data science lessons from an analytics head at McGraw Hill Education; and explore how to banish your insecurities around the Internet of Things.
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Features in this issue
CIOs face an age-old dilemma in architecting for big data: Do I buy or build? New business problems, inadequate vendor solutions and myriad new technologies complicate the decision. Add to all that the ambiguity of the term, big data, and well ...
Do CIOs build or buy the technology for big data projects? It's complicated, but the bottom line is, do whatever confers a competitive advantage to the company.
PayPal's technology VP Kirsten Wolberg gives SearchCIO the facts, figures and philosophy behind a 'big bang' move to Agile that changed the way 510 cross-functional teams work. Included in the budget: $2 million to change out the furniture.
What programming language should every data scientist know? How should data scientists be trained? Why do you need more women on your team? McGraw-Hill Education's Alfred Essa answers those questions and more.
News in this issue
For Robert Jimenez, a modest investment in cloud security software paved the way for IT innovation.
Will the Internet of Things bring Cybergeddon upon us? Let's hope not, but the IoT age has arrived and CIOs should be thinking about how to protect it, say security experts from IBM and Intel.
Columns in this issue
Big data is a term that's readily bandied about by marketers, but enterprises undertaking their own information architecture implementation need to know exactly what's meant by big data before proceeding.