Related to application support on Hadoop


1 Answer(s)


Hi Sankara,

The entire Hadoop Stack along with the components of the ecosystem are meant to support Data Analysis, Data Mining and Analytics and Machine Learning etc. It is not meant for Online transaction processing. It is a platform to house massive data sets and process them using various different methods.

Hadoop integrates with all popular BI Applications like Tableau, BIRT, Tibco Spotfire, Pentaho, Qlikview etc. Hadoop can import data from and export data to relational databases and data warehouse solutions. Hadoop can also take data from message queues, pub sub systems and streaming data sources. All of the collected data is analyzed by the tools of the ecosystem. There are many ways to accomplish tasks and some of the popular use cases are as below.

NetApp collects over 600,000 data transactions weekly, consisting of unstructured logs and system diagnostic information. Traditional data storage systems proved inadequate to capture and process this data.

A leading retail bank is using Cloudera and Datameer to validate data accuracy and quality to comply with regulations like Dodd-Frank

A health IT company instituted a policy of saving seven years of historical claims and remit data, but its in-house database systems had trouble meeting the data retention requirement while processing millions of claims every day

You could find a lot of info around how hadoop is used in the official site hadoop.apache.org and blogs by Cloudera, Hortonworks etc.

Sorry, your question does not have a short to the point answer and the reality is all applications apart from the ones which require shared memory state are supported by Hadoop. Please immerse yourself in research and start reading up online documents as this technology is evolving at a very rapid pace and everyone needs to keep up.