Studies
Comprehensive research reports and data-driven analyses designed to deepen Liam users' understanding of key trends, innovations, and opportunities in the technology,while fostering skill development and advanced product proficiency.

The History and Future of ER Diagrams: How AI is Transforming Data Modeling
Text by Takafumi Endo

SQL Server Backup Playbook: From Basics to Advanced Strategies
Text by Takafumi Endo

Building Successful Open Source Startups: A Comprehensive Guide to Community-Driven Innovation
Text by Takafumi Endo

Learning Data Modeling and Schema Design with MongoDB
Text by Takafumi Endo

PostgreSQL Materialized Views: From Basics to Practical Examples in Mastodon
Text by Hirotaka Miyagi

ActiveMQ and Kafka: Core Differences and Insights for Database Design
Text by Takafumi Endo

Getting Started with One-to-One Relationships in PostgreSQL
Text by Hirotaka Miyagi

Building Semantic Search in Ruby on Rails Using the Neighbor Gem
Text by Takafumi Endo

Platforms to Practice SQL: Level Up Your Database Skills
Text by Takafumi Endo

Designing a Beginner-Friendly SQL: Tips for Teaching Practical Database Skills
Text by Takafumi Endo

Why Surrogate Keys Win: A Practical Guide to Database Key Selection
Text by Hirotaka Miyagi

Oracle Database History: A Technical Journey Through 45+ Years of Innovation
Text by Takafumi Endo

Expanding PostgreSQL’s Horizons with Timescale’s Vector Capabilities
Text by Takafumi Endo

Enhancing Ruby on Rails Development with RubyMine's AI Assistance
Text by Takafumi Endo

Scaling Data Teams for Impact in 2024
Text by Takafumi Endo

What’s the Difference Between a Data Warehouse, Data Lake, and Data Mart?
Text by Takafumi Endo