Building graph-powered analytics in a polyglot world

Larus' graphistas come to town! Join Alberto & Andrea to learn more about the power of graphs combined with a data streaming architecture.

Agenda:

• 19:00 - Presentazione Larus e LinkMe
• 19:30 - "Building graph-powered analytics in few steps" - Alberto De Lazzari - Chief Data Scientist - LARUS Business Automation
• 20:00 - "Apache Kafka as center of a real-time Polyglot persistence architecture" - Andrea Santurbano - Chief Data Engineer - LARUS Business Automation

"Building graph-powered analytics in few steps"

Nowadays the power of connected data is a fact. But choosing the right technology is a key aspect to reduce the time to market. Neo4j, the leading technology in the Graph databases space, improves fast delivery, scalable and complex analysis of your network. Today we will build a graph-powered analytics engine in few steps.

"Apache Kafka as center of a real-time Polyglot persistence architecture"

Integrating Apache Kafka with other systems in a reliable and scalable way is often a key part of an event streaming platform. Fortunately, Apache Kafka includes the Connect API that enables streaming integration both in and out of Kafka. Like any technology, understanding its architecture and deployment patterns is key to successful use, as is knowing where to go looking when things aren't working. In this context we will show how to build a Streaming Polyglot architecture composed by Neo4j (a Graph Database) and Elasticsearch (a Search Engine) by using the Kafka Connect platform.

Lingua talk: Italiano