
Explore the potential of CXL-based NAND solutions, examining practical applications, technical hurdles, and emerging opportunities in memory expansion and data-centric computing technologies.

Master end-to-end data encryption in BigQuery, from application-level security to query-time decryption, ensuring sensitive data remains protected while maintaining accessibility.

Discover how to effectively manage data lakes using modern architectures, open table formats, and version control systems through practical examples with Databricks, Apache Iceberg, and AWS technologies.

Discover the architecture and implementation of a distributed time series database system designed for IoT data management and scalable consensus algorithms.

Explore confidential computing techniques for securing data storage, enhancing privacy protection in cloud environments and distributed systems.

Explore non-temporal writes and their impact on application architectures through experimental insights and practical demonstrations.

Discover how to migrate a billion objects without downtime using Elixir. Learn from Bernardo Martinez's experience and insights on large-scale data migration strategies.

Explore Khepri's evolution, its benefits for RabbitMQ users, and the timeline for its integration into a GA release. Learn about the next-gen schema database's progress and potential impact.

Discover how to prevent production downtime caused by unsafe database migrations using the excellent_migrations library, a static analysis tool for Elixir that detects potentially dangerous operations.

Explore RabbitMQ streams' design journey, internals, and new filtering feature. Gain insights into best practices, limitations, and future developments for efficient message streaming and partitioning.

Explore anomaly detection techniques using Apache Pinot and ThirdEye for efficient cloud-native data analysis and monitoring.

Learn to transform a monolithic database into a distributed system on Kubernetes, exploring challenges and solutions for scalability and performance optimization.

Develop a custom sports activity service using AI and Node.js. Learn OpenAI integration, database setup, authentication, and API configuration for personalized fitness recommendations.

Explore the world of ADW and ATP, autonomous databases, and their impact on DevOps. Gain insights into machine learning integration and future trends in database management.

Explore Python codemods for automated code improvements, focusing on security enhancements, resource management, and performance optimization using open-source tools and custom plugins.

Explore challenges and best practices for running databases in Kubernetes, focusing on PostgreSQL's transformative potential and the shift from availability to reliability in cloud-native environments.

Explore transformative database trends and learn to manage the new multi-verse of data in open source software.

Explore the data engineering journey of CRM platform migration, focusing on personalization, cross-channel messaging, and offer optimization to enhance customer engagement and product development.

Gain foundational knowledge of databases, their structure, and applications in solving real-world problems. Explore data types, analytics cubes, and structured data formats.

Level up SQL skills with advanced techniques for messy data, window functions, and arrays to tackle real-world analytics challenges effectively.

Explore graph databases through a D&D-inspired example. Learn to model complex relationships, write efficient queries, and optimize data structures for adventurous problem-solving.