1 billion JSON records, 1-second query response: Apache Doris vs. ClickHouse, Elasticsearch, and PostgreSQL

This tutorial provides a clear guide on how to set up monthly partitioning and automatic rotation of tables in PostgreSQL on AWS RDS. It covers the transformation of your existing table into a more efficient structure, enhancing database management and performance.

This tutorial provides a clear guide on how to transform your PostgreSQL table in AWS RDS into a monthly partitioned structure using range over UTC, along with automatic rotation of tables.

Hibernate ORM has long been a favorite in the Java community for simplifying data persistence through object-relational mapping. Recently, it has expanded its capabilities to work with MongoDB, a popular NoSQL database. This shift is significant as it allows developers to leverage the strengths of both Hibernate and MongoDB, making it easier to manage data in modern applications. This evolution not only enhances the flexibility of Hibernate but also opens up new possibilities for developers looking to integrate different types of databases into their projects.

In the latest update of the Teacher Assistant App series, the focus shifts to building a robust PostgreSQL database using Rust. This transition from simple CSV files to a full database marks a significant step in enhancing the app's capabilities, allowing it to manage data more efficiently and effectively. This development is exciting as it not only improves the app's functionality but also showcases the potential of combining Rust with PostgreSQL for future projects.

In the latest installment of our FastAPI series, we dive into the exciting step of uploading images to your custom forum. This feature not only enhances user engagement but also allows for a richer content experience. By integrating image uploads, developers can create more interactive and visually appealing platforms, making it a significant milestone in building a community-driven space. This step is crucial for anyone looking to elevate their forum's functionality and user experience.

The recent development of a demo UI for the R2E API using Next.js and Render is an exciting advancement in the tech community. This project builds on a previous article about creating an API that connects business challenges to relevant research papers. By adding a user-friendly front-end interface, users can now easily interact with the API, enhancing accessibility and usability. This matters because it not only showcases the capabilities of modern web technologies but also provides a practical tool for researchers and businesses looking to leverage data effectively.

Experts are expressing concern over a viral AI-generated image of Hurricane Melissa, which depicts birds that appear larger than football fields. This alarming portrayal has sparked discussions about its implications for meteorology and public perception.

The article explores the potential of AI personas in detecting human deception. It raises questions about the reliability of such technology and whether we should place our trust in AI's ability to identify lies.

As AI agents transition from prototypes to production, organizations are focusing on ensuring their accuracy and quality. Building custom LLM judges is a key step in this process, helping to enhance the reliability of AI systems.

Many teams are overcoming challenges in transitioning GenAI projects from pilot to production with the help of custom judges. This innovative approach is helping to streamline processes and enhance efficiency, making it easier for organizations to implement their AI initiatives successfully.

Moody's Risk Data Suite, integrated with the Databricks Data Intelligence Platform, offers financial executives innovative solutions to tackle modern risk and compliance challenges. This collaboration enhances data accessibility and analytics, empowering organizations to make informed decisions and navigate the complexities of today's financial landscape.

Databricks' latest research highlights that the challenge in deploying AI isn't just technical; it's about how we define and measure quality. AI judges, which score outputs from other AI systems, are becoming crucial in this process. The Judge Builder framework by Databricks is leading the way in creating these judges, emphasizing the importance of human factors in AI evaluation.