Real-Time processing with Flume,Kafka, and Storm

Kamlesh Dhawale is a member of our AHUG community and will be presenting real-time processing in Hadoop.

Bio:
Kamlesh is an experienced software development professional . He has held various
technical leadership positions including Development manager and Sr. Architect
in companies like Accenture, Mckesson, Cox and others. Kamlesh likes to infuse new technologies into the
mainstream development process. At present Kamlesh is devoting his time to Ankalytics, LLC which he has founded.
Ankalytics provides cloud-based log analysis solution.

Abstract:
Real-Time stream data processing requires a scalable and fault-tolerant architecture.It also requires
an ingest mechanism with supports various protocols. Such an architecture can be built using Apache technologies
like Flume, Kafka and Storm. This presentation provides an introduction to these three technologies and later
shows how they can be integrated to create a real-time architecture. We will look at Flumes support for various
protocols, set up a Kafka cluster , and start a Storm topology. The focus will be on fault-tolerant and scalability
feature of these technologies.

Please join us at 630pm for food and socials. We will have giveaways for the event.

Parking Instructions:

You can park at normal retail parking space. Please register your vehicle with your plate number at Cardlytics so that you don't have to pay for parking fee. No need to pay at parking meters, pay stations or building attendant stations. Once you are at Cardlytics, go up to 6th floor and register your car.