Data is necessary to grow any business — so stop wasting it. By keeping your data raw, you can ask any query you want without having to plan for it in advance.
Learn what the Schema Registry is and how you're losing out if you're not using it with Kafka for schema evolution, serialization, and deserialization.
Learn how you can speed up your analytics database applications by a factor of 1,000 by using standard Java 8 streams and Speedment's In-JVM-Memory accelerator.
Get an in-depth understanding of the complex concept of asynchronous processing with in-memory databases with a simple example involving planes, trains, and automobiles!
As a support engineer, I often see situations in which the cardinality of a table is not correct. And often, this must be fixed manually. Here's a trick for doing it!
So you're looking to build a .NET-based application but with .NET Core now floating around you're not sure which .NET runtime you should be using. In this post, we take a look at the various options and compare them to help you make that decision.
Lazy loading and caching are powerful performance tools, but they can be implemented poorly. Here's how you can pull them off in Java using Google's Guava.
In a recent talk, I told a community of mathematicians that nearly arbitrary data can *easily* be stored in a JSON-based document store. I should've known better...
Demonstration of the approaches to implement the name value lookup in Mulesoft and then conclude with the Mulesoft recommended approach, which is optimal.
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