Some Hadoop Use Cases

The Big Data movement has been pretty amazing and also very exhaustive for potential beneficiaries. That said, every business owner needs to be educated about the impact of this tech on their yields. Hadoop has proved itself to be a very helpful tool for the Big Data Enthusiasts, although many have employed it to gain a competitive advantage over their competitors, many business owners still don’t how to use Hadoop and where to make use of its capabilities. Let’s take a look at some of the cases where Hadoop helped out, so that you can get a better idea and employ it to your benefit.


Sears is a chain of clothing department stores in America. They used to analyze marketing campaigns and their effectiveness for loyalty club members using SAS servers along with Teradata. The problem is that the whole process could take up to six weeks and only 10% of the whole data was employed by the old models.

With the help of Hadoop, the run time of the whole process has been cut down to a week, and for certain scenarios, performing daily analysis is also possible. Granular targeting is now a possibility, even down to a single customer in some cases. Now thanks to Hadoop, 100% of the data is being put to use.


Do I really need to introduce Nokia? Everyone knows and loves the mobile phone giant. Now, Nokia is known to collect and analyze huge amounts of data from their handsets. The problem is that traditional databases fall short when dealing with 500TB of semi-structured data and 100TB of structured data. Also, there was 10s of PB through Nokia with 1TB per day.

With effective implementation of Hadoop, allowing storage of multi/semi-structured data, Nokia is now able to process at a Petabyte scale.


NetApp is a software solution, commonly employed by Telcos all around the world. It collects data pertaining to diagnostics from the storage systems which are deployed at the customer premises. This data is then used to examine the health of the NetApp Systems.

The problem with NetApp is that it collects around 600000 data transactions every week, which consists of system diagnostics data as well as unstructured logs. Traditional databases and storage systems failed to capture this much amount of data and process it effectively and efficiently.

With the help of a Cloudera Hadoop distribution, the data storage problem can be easily addressed and the parallel processing capabilities of the platform can address the analysis requirements.

These are just some of the scenarios where the Hadoop has helped and can help. Hadoop is a very flexible and agile platform which can easily process huge amounts of data and help the businesses maximize their yields and gain a competitive advantage over the opposition. You might not know it yet, but even your small business can benefit a lot from Hadoop, deriving insights to help you devise new marketing strategies and targeting your market more effectively. It has been known to help businesses a lot around the world.

<< Hadoop vs RDBMS : Which one suits your needs? Hadoop Architecture >>

Leave A Comment

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.