A real-time analytics database called Apache Druid can be leveraged very effectively where real-time ingestion, fast query performance, and high uptime are crucial.
Introducing the Metadata and Config-Driven Python Framework for Data Processing with Spark that offers a streamlined and flexible approach to processing big data.
Gain a comprehensive understanding of data warehouse tools and their importance in development. Explore key features, benefits, and considerations for developers in this comprehensive overview.
Introducing multi-tenancy architecture in MQTT offers a new choice. What is multi-tenancy architecture in MQTT and its benefits and challenges to users?
The data warehouses are now operating outside of the traditional IT infrastructure. The industry is constantly evolving, and there is no one-size-fits-all solution.
This article will discuss some of the issues with current citizen experiences related to governance, and LLM-based chatbots can address the shortcomings.
It's very tempting to include a ChatGPT-based website chatbot on your website, but ask yourself what's the cost. In this article, I show you how to reduce the cost.
A software developer uses OpenAI's GPT-4 to generate multiple applications, revolutionizing app development by saving time, reducing costs, and enhancing personalization.
Managing and analyzing logs and metrics can be a daunting task, especially if the application generates a large volume of data. That's where Elasticsearch and Kibana come in.
Combining Pydantic and Elasticsearch for data management, we can create structured schemas and perform automatic data validation and enhance data consistency.
