big data and predictive analytics

I need the following questions answered in APA format.
Each part has a minimum 500 word requirement (1000 total) and at least 2 references are required.

Has to be completed in 14 hours.

Part 1: (min 500 words)

• Research and define big data and predictive analytics.
• What is the relationship between predictive analytics and big data?
• Why is data today considered big versus previous years?

Part 2: (min 500 words)

• How are companies using predictive analytics today?
• Give at least 3 examples of predictive analytics in practice based on your real-life experiences.
• Does the availability of a lot of data foster better predictions using predictive analytics? Why or why not?

  Materials:

• https://ssir.org/articles/entry/big_data_for_social_innovation
  http://data-magnum.com/the-big-deal-about-big-data-whats-inside-structured-unstructured-and-semi-structured-data/
• http://www.techadvisory.org/2014/05/why-use-predictive-analytics/
• https://www.forbes.com/sites/sungardas/2014/03/26/your-company-can-see-the-future-with-predictive-analytics-2/#3ce6cd4863e9