53% of big data-focused companies say analytics experts will be tough to find for the next two years. Here's how IT leaders plan to train, borrow, or steal talent--and what job seekers should know.
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Tip 6: Seek Prospects Who Are Data Literate, Business Savvy The new analytics degree program at Louisiana State University (LSU) combines the computer science topics of data management and business intelligence with training in statistics, predictive analytics and operations research. There's also a focus on applied training in areas such as fraud detection, risk management, text mining and process improvement.
"Employers are looking for people who understand the business side but who also have an understanding of what IT and statistics can do to solve business problems," says LSU's Helmut Schneider, who helped set up LSU's analytics curriculum.
6 Tools to Protect Big DataMost IT teams have their conventional databases covered in terms of security and business continuity. But as we enter the era of big data, Hadoop, and NoSQL, protection schemes need to evolve. In fact, big data could drive the next big security strategy shift.
Big Data Brings Big Security ProblemsWhy should big data be more difficult to secure? In a word, variety. But the business won’t wait to use it to predict customer behavior, find correlations across disparate data sources, predict fraud or financial risk, and more.
Join us for a roundup of the top stories on InformationWeek.com for the week of December 14, 2014. Be here for the show and for the incredible Friday Afternoon Conversation that runs beside the program.