CEM on demand
Learning
Is a complex set of tools to gather and analyse data in the GSM network and make custom aggregations and show charts and predictions.
I joined the project in the end of the first iteration where the application was function ready and it was made with Liferay and the underlying database and aggregations was in Oracle DB. The second iteration was to port the database and all the scheduling and support functions to the Hadoop ecosystem what our team delivered flawlessly. We used Java, Python and Shell scripts to achieve our goal and improve the performance of the big data handling.
Here i learned the importance of the CI systems and we developed our own advanced pipeline in Jenkins.