Batch processing is for cases where having the most up-to-date data is not important. Stream processing is for cases that require live interaction and real-time responsiveness.
As containers take root, dozens of tools have sprung up to support them. Check out your options for orchestration, CI/CD, logging, monitoring, and more!
Let's take a look at a possible blockchain implementation using Java. We build up from first principles and develop some code to help show how it all fits together.
pt-table-checksum is a robust tool that validates data between master/slaves in a replication environment. However, in some scenarios, the task can be quite challenging.
Learn how to easily run an HA MongoDB container on Kubernetes using Portworx for replication, snapshots, backups, volume resizing, and even encryption.
Apache Flink helps build big data in a efficient and scalable way. Learn how to use it to read data from a file, transform it to uppercase, and write it to another file.
Let's take a look at different processing guarantees that are widely supported by the most well-known SPEs, as well as how they're realized in Hazelcast Jet.
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