In this post, we'll go over various classes you can use in ADO.NET in order to work with Data Providers. We'll cover the code you need, and when to use each class.
The key to dealing with data is to figure out which audience is appropriate for each data set, and then open up that data to the correct audience via APIs.
We link Docker containers with each other to enable communication between them or to be sure that all of the tools and microservices are running on the same machine.
Excel provides a way to save spreadsheets as a CSV file, but it seems to fail at handling UTF-8 characters. See how a real programmer deals with the problem.
This solution provides human-friendly content when operated by a human user, and more structured and well-defined content when operated by a software agent.
It's not about SQL vs. NoSQL, but rather when to use each option. This guide walks through the benefits of relational and non-relational databases as well as use cases.
I'm positively surprised by Apache Camel. Before I started working on this example, I didn’t expect it to have so many features for microservice solutions.
The problem has always been one for the developer to solve, but without help, this problem makes it difficult to robustly use opaque data types in process-shared memory.
By making some changes, appending some properties to log4j.xml, and using custom Java code to connect to the database, we can make logging to a database possible.
