
Implementing coordination between non-transactional resources in modern distributed systems, using Pat Helland's paper as a guide. Explores real-world examples and advanced workflows for robust, scalable enterprise coordination.

Explore eventual consistency, CRDTs, and their role in geo-distributed databases. Learn how these structures work and their benefits for highly available systems.

Explore the rationale behind moving Drupal database drivers to separate modules and discuss future plans for enhancing database functionality and performance in Drupal.

Discover how to enhance LLM accuracy using knowledge graphs, exploring GraphRAG implementation with Neo4j and LangChain for improved context-aware AI responses and reduced hallucinations.

Explore performance and scalability challenges in building fast, scalable Big Data applications using open-source technologies like Apache Cassandra and Apache Kafka. Gain insights from real-world experiences.

Explore vector databases and LLMs for real-time context retrieval in AI applications. Learn to enhance generative models with up-to-date external knowledge, preventing hallucinations and improving accuracy.

Explore real-time vectorization for transactional workloads using MongoDB Atlas and Anyscale, liberating data and enabling innovation with advanced models at scale.

Discover how to build high-performance user-space protocol stacks using DPDK, achieving better performance while maintaining compatibility with applications like Redis and MySQL.

Discover how VMware Tanzu Hub revolutionizes multi-cloud management through comprehensive visibility, efficient resource navigation, and intelligent services integration for optimized cloud operations.

Discover how MongoDB successfully migrated multiple codebases to Bazel build system while maintaining interoperability, focusing on handling complex configurations and ensuring smooth transitions across development platforms.

Master the automated migration process from VMware to OpenStack with hands-on demonstrations, best practices, and step-by-step guidance for seamlessly transferring workloads using Mirantis Migration tools.

Discover how graph analytics drives economic sustainability through pattern recognition, data connections, and risk reduction strategies for more efficient and cost-effective business operations.

Discover how to implement end-to-end tracing by integrating Apache Cassandra Java Driver with OpenTelemetry, enhancing application observability and performance monitoring capabilities.

Explore Go concurrency techniques for building high-performance data pipelines, focusing on MongoDB to RDBMS migration and optimizing worker pools for gigabyte-scale data processing.

Explore Elasticsearch's database capabilities, including NoSQL features, schema flexibility, and relational functionalities. Learn how it can serve as a powerful data management system beyond search.

Explore the creation of Valkey, an open-source alternative to Redis, and learn about the challenges and future plans for this community-driven project.

Explore how to migrate MongoDB workloads to open-source alternatives, enhancing data control and reducing vendor lock-in.

Explore RocksDB's internal workings and efficient data storage principles with Python. Harness its potential to elevate your applications' performance and capabilities.

Explore efficient data pipeline design using Celery, Redis, and signal-based triggering. Learn to segment workflows, manage API limits, and optimize data processing for improved throughput and maintainability.

Explore Cassandra 5.0's vector search capabilities, benchmark performance against other databases, and learn optimization strategies for enhanced accuracy and efficiency.

Explore Apache Cassandra's shift from JMX to CQL for command execution and monitoring. Learn about new initiatives simplifying management operations and addressing API inconsistencies.