Monkey Business for Serious Systems: Why Chaos Engineering Isn't Crazy
Explore chaos engineering's role in uncovering system vulnerabilities and enhancing resilience. Learn to simulate real-world failures, identify weaknesses, and build robust infrastructures.
Postgres and JSON - How to Get the Best of Them
Explore PostgreSQL's JSON support, including types, indexing, and performance optimization techniques for powerful and flexible data handling.
Optimizing Drupal Performance: Real Production Project Insights
Optimize Drupal for scalability and speed. Learn Redis, Nginx, PHP-FPM, Opcode, cache bins, and Blackfire to enhance performance in production environments.
AWS Components and Live Use Cases for Developers
Explore key AWS services like Lambda, S3, DynamoDB, and SQS, gaining practical insights for developers on their effective implementation.
Redis: In-Memory Database - Introduction and Overview
Learn Redis, the high-performance in-memory data store. Master its versatile features for efficient data management, caching, and message brokering in modern applications.
Understanding Streams in Redis
Explore Redis Streams: memory-efficient data processing, handling time-based data, and decoupling producers/consumers. Gain insights into Redis' unique perspective on streams.
Redis Data Structures and Performance Optimization
Master Redis data structures and optimize performance for efficient in-memory key-value database management and caching.
Introduction to Azure Cosmos DB
Explore Azure Cosmos DB's features, benefits, and comparisons with other databases. Learn access methods and evaluate pros and cons for informed database decisions.
Introduction to Redis and Its Features
Explore Redis fundamentals, use cases, and best practices for integrating this powerful in-memory data storage solution into your projects and applications.
Distributed Cache with .NET Microservices: Implementation and Strategies
Implement distributed caching with Redis in microservices architecture, focusing on synchronization, eviction policies, and consistency for improved performance and scalability.
Large Language Model Training: Tackling Data Challenges
Explore expert tips on tackling data challenges in large language model training, covering use cases, tools, and knowledge graphs.
Build Continuous Data and AI Pipelines with BigQuery Continuous Queries
Revolutionize data engineering with BigQuery continuous queries for real-time AI insights. Explore event-driven pipelines using Vertex AI, Pub/Sub, and Bigtable through Cloud SQL.
Node.js and MongoDB CRUD Operations Demo
Learn MongoDB CRUD operations with Node.js through hands-on demos in VS Code, covering connection, insertion, searching, updating, and deleting documents.
Using Vector Databases: Practical Advice for Production - LLMs in Prod Conference
Explore vector databases for LLMs in production. Learn design patterns, context retrieval, feature injection, and common pitfalls. Gain practical insights for efficient deployment and management.
Neo4J Graph Data Science: Centrality Algorithms
Explore centrality algorithms in Neo4J Graph Data Science Library for advanced network analysis and machine learning applications.
Neo4J GDS: Similarity Algorithms for Data Science and Machine Learning
Explore Neo4J GDS library's similarity algorithms for data science and machine learning, with practical demonstrations and code examples.
Neo4J GDS - Machine Learning Feature Engineering
Explore data pre-processing and feature engineering using Neo4J's Graph Data Science Library for enhanced machine learning workflows.
Neo4J GDS: Machine Learning Node Classification Pipelines
Crea pipelines de clasificación de nodos con Neo4J y Graph Data Science Library para aprender técnicas avanzadas de machine learning en grafos.
Neo4J as Vector Store with Langchain, OpenAI, and Wikipedia
Explore Neo4J as a vector store using Langchain, OpenAI embeddings, and Wikipedia data for advanced data science and machine learning applications.
Neo4J Knowledge Graph: Topic Extraction with Langchain and Phi3 - Part 1
Explore topic extraction for knowledge graphs using Neo4J, Langchain, and Microsoft Phi3. Learn to enrich movie databases with themes from TMDB.org overviews.
Performance Tuning for Azure Cosmos DB - NDC Oslo 2024
Optimize Azure Cosmos DB performance through indexing policies, connection configurations, workload estimation, and throughput selection. Learn .NET/SDK settings and server-side programming for faster solutions.