Apache Ignite track at ApacheCon 2020

In-Memory Computing Essentials For Software Engineers
Denis Magda

Attendees will be introduced to the fundamental capabilities of in-memory computing platforms that are proven to boost application performance and solve scalability problems by storing and processing unlimited data sets distributed across a cluster of interconnected machines. The session is tailored for software engineers and architects seeking practical experience with in-memory computing technologies. You'll be given an overview (including code samples in Java) of in-memory concepts such as caches, databases, and data grids combined with a technical deep-dive based on Apache Ignite in-memory computing platform. 

Data Streaming using Apache Flink and Apache Ignite
Saikat Maitra

Join Saikat Maitra to learn how to build a simple data streaming application using Apache Flink and Apache Ignite. This stream processing topology will allow data streaming in a distributed, scalable, and fault-tolerant manner, which can process data sets consisting of virtually unlimited streams of events. Apache IgniteSink offers a streaming connector to inject Flink data into the Ignite cache. The sink emits its input data to the Ignite cache. The key feature to note is the performance and scale both Apache Flink and Apache Ignite offer.