 Now, we will come to the second project which is enhancement of the Open edX analytics. This Open edX analytics has got four components. One is that pipeline, another is analytics API, another third is the analytics dashboard and fourth is the learning management system or content management system. Now, this analytics pipeline is actually it is installed in their case in the Amazon Cloud that is Elastic MapReduce which has got its own Hadoop cluster in it and they have used the map reduced tasks for finding I mean for processing the log files and they are using a luigi which is a workflow management software so and it basically runs the Hadoop MapReduce tasks and this after they process the data they keep it in the MySQL database or in the Elasticsearch documents these two places they keep. Then the next component is a data analytics API so the data which is created by the pipeline tasks are not directly available you have to use the API and some authentication mechanism to get the data okay so these are all written on the REST framework and you can send the request with some token and then you can get the data. So third component is the analytics dashboard which is a visual component so this is it basically calls that data API to get the data and then it shows it on the dashboard and it uses mostly Node.js, NPM, Bower, jQuery, Backbone all those technologies. Now this currently they have got four wave modules enrollment engagement then the performance and learners. So we will be changing this say for one or two of these components okay. Now daily activity enrollment may it shows that all the that is day wise enrollment, enrollment, education, age, gender, etc. We are not we will not be changing this one when engagement may they have got two one is the engagement to the content that is the course content and there is an engagement to the video. So we will be changing one of this that is engagement to the video okay. Then next is the performance. Performance also will be changing because we have to show the will explain the FTP that features then you will understand it better. Then that learners in module it shows the activity in past one week that is how many problems they have attended, how many videos they have viewed, what are the programs they have attended. Okay now the faculty development program they have got these features one is called learning dialogue and this learning by doing learning experience interaction and learning extension trajectory. Learning dialogue is in between the videos they have put some pause which they call reflection points. So and they had given some quizzes at those points. So the person if the person answers it or the ignores it then we can see and what is his performance. So in learning by doing that they have got some quizzes which are related to those pauses. So if we will be seeing that how the performance is on this LBD that is on these quizzes and whether he has seen the video before attempting this one and what is the common interaction between these two parts watching the video and his performance. Okay and third is the learning experience interaction that is the forum participation. There is how many people have participated in the forum and what is the I mean after participation of the forums how is the performance affected if they have participated. Then fourth is the learning extension trajectory. So these are the different I mean this course has offered different kinds of resources like PDF or text files or HTML content. So they want to know which I mean which is mostly accessed that is people are preferring which kind of resources and if they are access more than one resources then what is the pattern of accessing. So this kind of analysis they want to do. Okay so we will be I mean incorporating these things in the open edx dashboard. So this is the that what I told you just now. So implementation plan may we have to write the map reduce task on the Hadoop cluster and the output will be on the MySQL database. We have to write the REST framework based API to access the outputs of the pipeline task that is the map reduce task and you have to implement the visualization of the open edx dashboard and you have to follow the same framework which open edx has used. Thank you.