Failure to adopt good API design practices like ease of adoption, flexible and stable, backward compatibility, migration, and security is a common issue.
Learn how to create a Maven project for using Spring Data with Apache Ignite Grid and how to persist entities into Ignite caches through the Spring Data framework.
The biggest advantage of data science over traditional statistics is that it can draw conclusions from a junk pile of the supposedly unrelated information.
Flume, Kafka, and NiFi offer great performance, can be scaled horizontally, and have a plug-in architecture where functionality can be extended through custom components.
Spring Cloud's config server capabilities make updating microservices across your system a breeze. Let's walk through setting up and changing properties step by step.
Even though it's been with us for some time now, it's sometimes beneficial to review what NoSQL actually is and take a look at some NoSQL-based solutions.
Learn how to install and configure a DC/OS monitoring stack with cAdvisor, InfluxDB, and Grafana to gather, export, store, and display detailed metrics.
Apache Spark is an in-memory distributed data processing engine and YARN is a cluster management technology. Learn how to use them effectively to manage your big data.
The Gang of Four were instrumental in solidifying the classic Java design patterns, but has their usefulness fallen off in a world with microservices and frameworks?
When it comes to sharding MySQL clusters, significant challenges can be faced. Take a look at some of them, how to address them, and why they're worth overcoming.
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