
Explore document similarity using Langchain, Neo4j, and OpenAI embeddings. Learn practical techniques for machine learning and data science applications.

Build knowledge graphs from unstructured data using Neo4J's Knowledge Graph Builder App with AI integration for efficient data extraction and visualization.

Explore ES|QL, Elasticsearch's new query language combining SQL and Bash, for improved performance and seamless integration across Java and Kibana.

Explore strategic playbooks in lacrosse using graph theory and Golang. Learn to visualize player and team dynamics, implement knowledge graphs, and leverage CypherQL for data analysis.

Explore graph theory basics, real-world applications, and the growing importance of graph databases in solving complex data challenges across industries.

Discover key stability and performance optimization techniques for HBase systems, drawing from real-world implementations at Xiaomi's large-scale infrastructure.

Master MongoDB setup and configuration for both local development environments and cloud-based instances, covering essential installation and deployment steps.

Discover proven patterns for scaling game backends efficiently, from handling millions of player profiles to surviving outages while optimizing costs and maintaining data security with MongoDB.

Discover how LY Corporation achieves high reliability in OpenStack clusters through multi-AZ architecture, load balancing, and resilient messaging and database services deployment strategies.

Master NoSQL data modeling techniques for optimal performance, from key-value strategies to best practices. Learn to avoid common pitfalls and create efficient database designs for modern applications.

Dive into NoSQL data modeling fundamentals and LSM Tree architecture, exploring key concepts like primary key selection, clustering, and compaction for advanced database implementation.

Dive into modern distributed database architecture, exploring high performance, consistency, replication, and scaling concepts through practical examples from ScyllaDB and Cassandra implementations.

Explore modern database systems, from SQL vs NoSQL to scaling strategies, while learning critical performance innovations and future trends in database architecture and implementation.

Master NoSQL data modeling fundamentals through hands-on examples and best practices for building high-performance applications, guided by ScyllaDB's Head of Training.

Master data denormalization techniques in NoSQL databases, exploring materialized views, indexing strategies, and filtering options for optimal database performance and efficiency.

Master NoSQL fundamentals with ScyllaDB, from basic architecture to data modeling, while learning to set up clusters and execute queries through hands-on demonstrations.

Master advanced NoSQL data modeling techniques, from primary key selection to handling large partitions, collections, and common pitfalls. Learn to optimize database performance and avoid critical design mistakes.

Dive into NoSQL fundamentals, exploring data modeling, architecture principles, and essential querying techniques while comparing SQL and NoSQL approaches for high-performance databases.

Master MongoDB integration with Mongoose in Node.js applications, covering database connections, schema modeling, and essential backend development concepts for building robust web applications.

Explore HugeGraph's innovative approach to self-controlled storage and high-performance computing, with insights into its role in advancing AI technology and data management.

Discover how EloqKV enhances Apache Cassandra's performance and capabilities through innovative storage solutions and architectural improvements for modern data management needs.