データエンジニアリング・チュートリアル | 読んで学び、スキルを伸ばそう

Discover GitHub Codespaces, the development environment that allows you to write, run, and deploy your code anywhere.

This tutorial teaches you how to create, manage, and use Amazon SQS queues for building scalable distributed applications on AWS, with practical examples using both the console and the CLI.

DuckDB is a powerful analytical engine that lives on your laptop. You can use it to speed up data reading and processing and reduce your pipeline runtimes from minutes to seconds. Follow this hands-on guide to learn how.

Learn how UPDATE with JOIN in SQL simplifies cross-table updates in SQL Server. Understand how INNER JOIN and LEFT JOIN differ for specific use cases, and explore alternatives using subqueries or the MERGE statement.

Learn three methods to migrate data from Amazon DynamoDB to Redshift, with step-by-step instructions, the pros and cons of each method, and best practices for data integrity and performance optimization.

Learn how to set up AWS Glue, create a crawler, catalog your data, and run jobs to convert CSV files into Parquet format, optimizing your ETL processes.

A database schema provides a comprehensive blueprint for the organization of data, detailing how tables, fields, and relationships are structured. Read to learn about the schema types, such as star, snowflake, and relational schemas.

An easy-to-follow guide for beginners to learn Azure Synapse, covering everything from setting up your workspace to integrating data and running analytics.

Discover the distinct advantages of REST and GraphQL for modern API design. Learn when to leverage REST for simplicity and caching. Master the flexibility of GraphQL for complex, real-time data needs.

This hands-on guide will help you get started with AWS Athena. Explore its architecture and features and learn how to query data in Amazon S3 using SQL.

Learn how to use SQL triggers to automate tasks, maintain data integrity, and enhance database performance. Try practical examples like the CREATE, ALTER, and DROP commands in MySQL and Oracle.

Discover how to enhance PostgreSQL with vector search capabilities using pgvector. This tutorial guides you through installation, basic operations, and integration with AI tools.