We are glad to announce the 7-th meetup !
We prepared three very interesting presentations about the Lambda architecture (http://lambda-architecture.net/), data ingestion with Kafka (http://kafka.apache.org/)and GraphX (http://spark.apache.org/graphx/)processing.
Schedule of the meetup :
18:00 - 18:30
Food, drinks and time to meet new/old friends !
18:30 - 19:15
Lambda architecture by Tudor Marghidanu (https://ro.linkedin.com/in/tudormarghidanu)
We will learn how to separate processing contexts in a BigData applications using some of the standard tools.
We will discuss major components and understand how to create a robust and fault tolerant user facing application.
As an example I will use our distributed data ingestion system.
19:15 - 19:55
Kafka Intro by Ovidiu Petridean (https://ro.linkedin.com/in/ovidiu-petridean-9981b029)
After this presentation we will be able to answer to the following questions:
How does Kafka work?
How is it different from a classic MQ system?
How come it is so fast?
How does it fit in the BigData world?
How does Kafka help with real-time event streaming?
19:55 - 20:05
20:05 - 20:45
GraphX Intro by Adrian Bona (https://ro.linkedin.com/in/adrianulbona/en)
We will get to know about the basic bricks of GraphX and we will play with a "decent" graph (http://research.microsoft.com/en-us/projects/mag/) in Zeppelin.
GraphX is the in-house graph processing library from Spark, being designed to handle large graphs (billions of edges, millions of nodes or even more).
Many thanks Yardi (https://www.facebook.com/YardiRomania/)for hosting this meetup !