Big Data Hadoop & Spark

Customer Case Studies Where Hadoop Can Be Used As A Solution

This video intends to be a part of a short discussion about the Few Customer case studies where hadoop can be used as a solution. We have the some case studies by which we can check the involvement of Hadoop in various sectors.

Case Study 1: Children’s Hospital Los Angles

Industry – Healthcare
The hospital is completely digitalized and every reports like scan reports, blood test and other transactions like payments, hospital management data and others are stored as a digital data, and each day, they are getting more data.  The problem is that they are not aware of methods to store and manage this vast amount of data.
Problem:
Collecting lots (billions) of data points from sensors / machines attached to the patients. Previously, this data was periodically purged, as storing this large volume of data on expensive storage was expensive.
Solution:
Continuously streaming data from sensors/machines is collected and stored in Hadoop. HDFS provides scalable data storage at a reasonable cost.
Hadoop Cluster Size: They are using closer to 200 node clusters.
Hadoop

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Customer Case Study 2: China Mobile

Industry – Telecom
Problem – China Mobile Stores billions of mobile call records and provides real-time access to the call records and billing information to customers.  Traditional storage/database systems was unable to scale up to the loads and provide a cost-effective solution. This issue is just not with
China Mobile alone, every telecom company are facing the same issues.
Solution:
HBase is a NoSQL database, in simple words; HBase is the database of Hadoop. HBase is used for storing billions of rows of call record details. Approximately 30TB of data is a