Today I summarize an article about
Hadoop application scenarios. I think this is the first step to learn Hadoop. This article mainly answers these questions:
In 2012, Derrick Harris, a columnist of the famous American technology blog GigaOM, has tracked cloud computing and Hadoop technology for many years. In an article, he summarized 10 Hadoop application scenarios, and I will share them with you below:
Online travel: At present, 80% of online travel sites around the world are using the Hadoop distribution provided by Cloudera, including Expedia, which was once reported by SearchBI.
Mobile data: Cloudera operations director said that 70% of the smartphone data services in the United States are supported by Hadoop, which means that data storage and data processing by wireless operators are all using Hadoop technology.
E-commerce: This scenario should be very certain, eBay is one of the biggest practitioners. Domestic e-commerce companies also have quite ample reserves in Hadoop technology.
Energy extraction: Chevron is the second largest oil company in the United States. Their IT department director introduced Chevron's experience in using Hadoop. They use Hadoop to collect and process data. These data are marine seismic data so they can find it The location of the oil mine.
Energy saving: Another energy service provider, Opower, is also using Hadoop to provide consumers with services that save electricity bills. Among them, the user's electricity bills are predicted and analyzed.
Infrastructure management: This is a very basic application scenario. Users can use Hadoop to collect and analyze data from servers, switches, and other devices.
Image processing: The startup Skybox Imaging uses Hadoop to store and process image data and detect geographic changes from high-definition images taken from satellites.
Fraud detection: In this scenario, users are less exposed to it, and are used by general financial services or government agencies. Using Hadoop to store all customer transaction data, including some unstructured data, can help organizations find abnormal customer activities and prevent fraud.
IT security: In addition to the management of enterprise IT infrastructure, Hadoop can also be used to process machine-generated data in order to identify attacks from malicious software or networks.
Healthcare: The medical industry will also use Hadoop. For example, IBM's Watson will use the Hadoop cluster as the basis of its services, including advanced analysis technologies such as semantic analysis. Medical institutions can use semantic analysis to provide medical staff to patients and assist doctors to better diagnose patients.
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