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

Learn the fundamentals of cloud data warehouse management using Snowflake. Snowflake is a cloud-based platform that offers significant benefits for companies wanting to extract as much insight from their data as quickly and efficiently as possible.

Learn the 7 most important concepts around dbt - the favorite tool of modern data engineers.

Learn how to connect and analyze MongoDB databases in Python.

Learn the basics of bringing your data pipelines to production, with Apache Airflow. Install and configure Airflow, then write your first DAG with this interactive tutorial.

This tutorial covers the basics of data pipelines and terminology for aspiring data professionals, including pipeline uses, common technology, and tips for pipeline building.

Learn what BigQuery is, how it works, its differences from traditional data warehouses, and how to use the BigQuery console to query public datasets provided by Google.

LangChain is a framework for including AI from large language models inside data pipelines and applications. This tutorial provides an overview of what you can do with LangChain, including the problems that LangChain solves and examples of data use cases.

Learn basic visualizations of various data structures using Bokeh.

Learn how to transform and load (ETL) a data pipeline from scratch using R and SQLite to gather tweets in real-time and store them for future analyses.