This is Part 1 of a six part series that discusses how to leverage big data in healthcare. This educational video discusses the benefits of analyzing clinical and …

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Some of the industries where companies have achieved great results through Big Data analytics are retail, healthcare, and finance.

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Some of the industries where companies have achieved great results through Big Data analytics are retail, healthcare, and finance. Some of the industries where companies have achieved great results through Big Data analytics are retail, healthcare, and finance. Some of the industries where companies have achieved great results through Big Data analytics are retail, healthcare, and finance. Some of the industries where companies have achieved great results through Big Data analytics are retail, healthcare, and finance.

Big data is the most talked term these days in the analytics world. It will have big transformative impact on all the aspects of the business.
Most of the comp…

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Commentary

The analytics movement crossed another milestone in its evolution last week with the release of a new iteration of Apache Spark that brings large-scale stream processing closer to the reach of the traditional enterprise. That’s thanks to several key reliability improvements and an automated input control feature that together significantly reduce the amount of manual work involved in operating the engine.

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This is a great article. 

I am a big fan of walking into a retail store versus buying things online. This is specifically true for clothes from my favorite retail chain since it gives me access to physically see a wide variety of options combined with great ambiance, music, and sales assistants who go the extra mile to help me make the right choice. I fear I end up buying more items than I planned, but the store-buying experience makes me feel valued as a customer. However, before I head to the store, I check out the store’s website to see what’s new, find different colors and styles, and sometimes add things I like to the online cart.

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This makes sense!