Customer like Google, amazon etc., are having lots of devices in 50,000 or more with them like multiple routers, switches, while purchasing these devices, contracts needs to buy and these contracts is having lots of information like serial number, line items, partners, contract expiry dates etc.

It is very difficult for customer to maintain device inventory. Juniper allocate Service manager to every account like for Google, Amazon account Service manager will be responsible for taking care of customer account customer want to know how many devices there in India are, information about devices etc., Service manager provide this information to customer Service Request if for any faulty device customer raised SR then portal provide view to all SR’s Contract renewal.

Different applications are hosted in the backend of JTAC Workbench, My Juniper

T-Mobile USA is the United States based subsidiary of Deutsche Telekom AG has networked predominately uses the GSM/GPRS/EDGE 1900 MHz frequency-band. T-Mobile USA uses a radio frequency band for its network. The carrier states it allows faster download and upload data speeds utilizing HSPA technology, which allows for simultaneous voice and data.

The largest banks in Singapore–Malaysia markets have been widely successful with its customer - focused big data initiatives. The Oversea-Chinese Banking Corporation (OCBC) analysed historic customer data to determine individual customer preferences. It designed an event- based marketing strategy that focused on a large volume of coordinated, personalized marketing communications across multiple channels and touchpoints including email, call centres, branches, ATMs, direct mail, text messages and 3G mobile banking.

Today, using marketing algorithms atop a sophisticated analytics infrastructure, OCBC more precisely targets customers based on their activity, yielding double- and triple-digit percentage increases in key customer performance metrics since the program began in 2005. OCBC achieved a positive return on investment (ROI) on its implementation within 18 months. The promise of achieving significant, measurable business value from big data can only be realized if organizations put into place an information foundation that supports the rapidly growing volume, variety and velocity of data.

This Project is all about the rehousing of their (Target) current existing project into Hadoop platform. Previously Target was using SQL DB for storing their competitor’s retailer’s information. [The Crawled web data] Early Target use to have only 4 competitor retailers namely Amazon.com, walmart.com etc.

But as and when the competitor retailers are increasing the data generated out of their web crawling is also increased massively and which cannot be accommodable in a MySQL kind of data box with the same reason Target wants to move it Hadoop, where exactly we can handle massive amount of data by means of its cluster nodes and also to satisfy the scaling needs of the Target business operation.