A prominent telecom company needed assistance in building their customized product for data analytics and recommandation tool using bigdata tools.
The primary goal of the system was to transform the existing system's data to newly developed scalable system for better analytics.
The biggest challenge was to provide scalable architecture for consolidating huge amounts of data.
The high level block diagram of our proposed system is shown below.
We provided consulting services to the client data warehousing initiative. We reviewed the data source systems, and data structure needs. Based on the client's requirement, we developed ETL product using various prominent Bigdata tools.
We administered cluster for development, testing as well as deployment and also helped the client to tune the cluster for optimized performance.
Tested the product with different load for stress testing and performance testing. Our staff is also responsible for performance tuning of ETL processes. We also implemented new capabilities like bulk loading the data to optimize the load in ETL processes.
We followed an iterative phased approach to implement the solution that included the following phases:
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The pay-off from all the hard work.
There is great satisfaction in knowing you've done your job well and served your clients' interests. It gives us particular satisfaction when our clients take the time to acknowledge their satisfaction by providing Nex with their testimonials.