Wednesday, July 15

11) A Big Data Use Case - Retail Industry


Let's take an example of a Online Retail Company to understand how they can leverage today's software technologies to leverage Big Data

Challenge faces by online retail company:
•The need to examine massive amounts of unstructured social media and search data to find out what are the 'products that consumers are talking about'
•The growing data volumes causing a major storage problem - leading to data regret on a regular basis
• The need to strategize the ad buying strategy on sites like Google, with the goal of competing for e-commerce sales
• The need to track products, sales, and customers (pet bytes of data) to win pricing concessions from suppliers.

Solution
• Primary basis of solution is co-location of storage and compute layer
• Solution proposes using 'Hadoop' for efficient data transformation
• Solution proposes large proportion of analysis to be performed by Hadoop, MapReduce

   Result
* Over-night processing of data now completes in minutes each day, enabling faster and improved search results
* Data volumes are reduced by as large margin of more than 60%
* Faster analytics that quickly react to changing customer sentiments & market conditions.

Technologies in the solution
• Hadoop, MapReduce, Hive , Pig, Flume, Pentaho, Java 

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