Table of Contents

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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Connections
  4. Mappings in a Hadoop Environment
  5. Mappings in the Native Environment
  6. Profiles
  7. Native Environment Optimization
  8. POWERCENTERHELP
  9. Data Type Reference

Example

Example

You are an investment banker who needs to calculate the popularity and risk of stocks and then match stocks to each customer based on the preferences of the customer. Your CIO wants to automate the process of calculating the popularity and risk of each stock, match stocks to each customer, and then send an email with a list of stock recommendations for all customers.
You consider the following requirements for your project:
  • The volume of data generated by each stock is greater than 10 terabytes.
  • You need to analyze the changes to the stock in microseconds.
  • The stock is included in Twitter feeds and company stock trade websites, so you need to analyze these social media sources.
Based on your requirements you decide to reach out to your IT department to create a big data project that determines the popularity of a stock. The project counts the number of times the stock is included in Twitter feeds and the number of times customers inquire about the stock on the company stock trade web site.


Updated July 03, 2018