Open Blueprint for In-Stream Processing
Stream processing architectures are rapidly emerging in various business domains to offer real-time ML and processing applications such as fraud detection, dynamic inventory, personalized offers and many more.
Topics presented by Victoria will include:
-Introduction to In-Stream Processing
-Introduction to Real-time sentiment analysis of Twitter streams applications
-Overview of Reference Architecture (RA) for ISP using Kafka/Spark -Streaming/ Cassandra/Redis/HDFS
-Overview of Reference Implementation (RI) and devops stack for portable cloud deployment using Docker, Mesos/Marathon, and Ansible
-Demonstration of all technologies at work
Speaker Bio: Victoria Livschitz https://www.linkedin.com/in/victorial... (https://www.linkedin.com/in/victorialivschitz) is a founder and CTO of Grid Dynamics ( https://www.griddynamics.com/ ), the engineering services company that specializes, amongst other things, in the design of big data, real-time analytics and machine learning applications using open source technologies running in a cloud-portable immutable infrastructure. Victoria will present the reference architecture for In-Stream Processing Service that designed with 100% open source components and runs on any cloud.