Microsoft organized an event “Web DevCamp” at Microsoft Corporation (India), Gurgaon on 26th August 2015. Six students from Computer Science and Engineering department and Eight Students from Electronics and Computer Engineering Department attended this event. The objective of this event is to introduce the participants with new languages and use them for building innovative websites. Mr. Sudhir Rawat (Big Data Engineer at Microsoft INDIA R&D Pvt. Ltd.) delivered the session.

This camp was on how to blend data services and platforms in azure. The event started with the keynote lecture, delivered by Mr. Sudhir Rawat in which he introduced about Microsoft Cluster Server (MSCS). MSCS is a computer program that allows server computers to work together as a computer cluster, to provide failover and increased availability of applications, or parallel calculating power in case of high-performance computing (HPC) clusters (as in supercomputing). After that, the speaker gave the information about hadoop cluster and its working.

In the next Session, the Mr. Rawat continued discussion of hadoop cluster and its features. Microsoft servers provide three technologies to support clustering:

1. Network Load Balancing (NLB)

2. Component Load Balancing (CLB)

3. Microsoft Cluster Service (MSCS).

Then he showed the demo that how students can create cluster in Microsoft cluster server and also discussed about different type of clusters for ex - HBase, Hive, Spark, Storm etc. with its advantages and disadvantages.

He discussed about Real time Analytics & its uses in all available enterprise data and resources when they are needed. The reference architecture for real-time event processing with Azure Stream Analytics is intended to provide a generic blueprint for deploying a real-time platform as a service (PaaS) stream-processing solution with Microsoft Azure. In Azure Stream Analytics, these subsets of events are defined through windows to represent groupings by time.

The sessions were very helpful as students came to know various types of clusters, significance of each cluster and how Microsoft azure stream analytics help the mob to work on the Real-time analytics.

The session ended with a discussion on use this feature. It was really an interactive and knowledgeable session.