xiaogo, Author at DataGet.AI | Page 7 of 9

Author: xiaogo

View all articles by this author.

Big Data Storage: HDFS (Hadoop Distributed File System)

Big Data Storage: HDFS (Hadoop Distributed File System)

Discover HDFS - Hadoop's distributed file system for big data storage. Learn its master-slave architecture, block storage design (128MB chunks),...

Big Data Architecture: Storage, Computing, and Querying Explained

Big Data Architecture: Storage, Computing, and Querying Explained

Explore big data's core pillars: distributed storage (HDFS/S3), batch/stream computing (Spark/Flink), and fast querying (Presto/ClickHouse). Learn how these technologies work...

Introduction to Open Source Databases

Introduction to Open Source Databases

Compare MySQL and PostgreSQL - the top open-source databases. Learn their architectures, performance differences, and best use cases. MySQL excels...

The Evolution of Databases: From Relational to AI-Driven Systems

The Evolution of Databases: From Relational to AI-Driven Systems

Explore database history from 1970s relational models to modern NoSQL, NewSQL, and AI-powered vector databases. Learn how MySQL, PostgreSQL, MongoDB,...

In-Memory Message Queue with Redis

In-Memory Message Queue with Redis

Discover how Redis enables high-speed messaging using Lists, Pub/Sub, and Kafka-like Streams with consumer groups. Learn Go code examples for...

RabbitMQ Advanced Architecture Explained

RabbitMQ Advanced Architecture Explained

Master RabbitMQ's advanced features: message persistence, dead-letter queues, priority queues, and flexible routing (direct/topic/fanout exchanges). Learn high-availability strategies (mirror/quorum queues)...

RabbitMQ Producer Consumer Model Explained

RabbitMQ Producer Consumer Model Explained

RabbitMQ is a lightweight, reliable AMQP-based message broker supporting flexible routing (direct/topic/fanout exchanges), message persistence, and transactional delivery. Ideal for...

Kafka Design Philosophy Explained

Kafka Design Philosophy Explained

Discover Kafka's core design: sequential disk writes, zero-copy transfers, and partition-level parallelism enabling million+ messages/sec throughput. Learn how replication (ISR),...

Apache Kafka Explained: Architecture, Usage, and Use Cases

Apache Kafka Explained: Architecture, Usage, and Use Cases

Apache Kafka is a high-throughput, distributed messaging system built on the producer-consumer model. It enables real-time data streaming, supports O(1)...

Building a High-Performance Producer-Consumer Model with Rust + RingBuffe

Building a High-Performance Producer-Consumer Model with Rust + RingBuffe

Boost producer-consumer performance with lock-free ring buffers in Rust. Learn atomic operations, CAS optimization, and multi-thread implementations. Essential for high-concurrency...