ions with Flink that
go well beyond trivial streaming ETL use cases and enable implementation
of arbitrarily-sophisticated, distributed event-driven applications.
With Flink, you can rethink approaches to a wide range of use cases
which normally would rely on using stateless parallel execution nodes
and &ldquo;pushing&rdquo; the concerns of state fault tolerance to a database, an
approach that is often destined to run into scalability issues in the
face of ever-increasing data volumes.</p>
</p>
</article>

