Learn the differences between batch and real-time data processing, and explore the decision-making factors for choosing the right approach to optimize data pipelines.
Learn more about Apache Flink, a powerful stream processing tool, for building streaming data pipelines, real-time analytics, and event-driven applications.
Retrieval augmented generation (RAG) needs the right data architecture to scale efficiently. Learn how data streaming helps data and application teams innovate.
Learn how to create a job in Jenkins, build jobs, and pipeline projects. Explore the Jenkins Freestyle Project, and combine any SCM with any build system.
Learn how serverless architecture, with its event-driven architecture, auto-scaling ability, and security walls, frees devs from infrastructure management woes.
This post discusses the nuances surrounding location-based programming: various ways to access user location, how they can fail, and what to do about it.
Low-code helps VPs of engineers to let their core engineering team focus more on high-impact projects, save costs, and speed up application development.
Plotting straight from the database is convenient, but is not always the case. Sometimes you might need something more complex that your API can support.
Everything in programming is a trade-off. The combination of imperative and (DO)RY is the best one that results in more total code, but more maintainable code.
This tutorial describes the merits of SQR and how to use it with the Langchain library to improve retrieval precision and relevance within a RAG framework.