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강의

Snowflake Architecture

기초기술 수준

업데이트됨 2026. 5.

Master Snowflake's three-layer architecture and build the mental model you need to work effectively in Snowflake.

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Snowflake

3시간

13 동영상

44 연습 문제

3,050 XP

성취 증명서

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수천 개 기업의 학습자들이 사랑하는

Training a Team?

Try for Business

강의 설명

Get a complete picture of how Snowflake is built and why it works the way it does. Starting from the three-layer architecture that separates compute, storage, and cloud services, you'll work your way through virtual warehouses, storage internals, and Snowflake's AI/ML capabilities. By the end, you'll have the foundational mental model needed to work effectively in Snowflake.

선수 조건

이 강의에는 선수 과목이 없습니다

1

How Snowflake Works

Get oriented with Snowflake's core architecture — how its three-layer design separates compute, storage, and services to enable massive scalability. You'll explore the Snowsight interface and learn how every object in Snowflake fits into a structured hierarchy.

Snowflake Architecture and Editions

Understanding the Architectural Layers

Choosing the right edition

Ways of Working with Snowflake

Running a Query in a Snowflake Notebook

Investigating a Failed Query with Query History

Snowflake Object Hierarchy

Object Hierarchy and Access Control

Navigating an Existing Database Structure

Parameter Hierarchy

Filtering with session variables

2

Virtual Warehouses and Loading Data

Learn how to create and configure the objects that power your Snowflake environment. You'll size and tune virtual warehouses for different workloads, then get hands-on with loading both structured and semi-structured data into tables.

Creating and Managing Database Objects

Setting up Snowy Peak's database structure

Granting the right privileges

Virtual Warehouses: Types, Sizing, and Scaling

Identifying a misconfigured warehouse

Matching workloads to warehouse configurations

Solving a concurrency problem

Loading Structured and Semi-Structured Data

Loading Snowy Peak's user data

Querying Snowy Peak's avalanche event data

3

Micro-Partitions and Data Clustering

Go under the hood to see how Snowflake physically organizes data using micro-partitions and clustering keys. You'll also compare table types and views to understand when to use each, and explore how Snowflake handles unstructured files alongside traditional data.

Micro-Partitions and Data Clustering

Partition Pruning

Good vs Poor Clustering Key Candidates

Impact of reclustering

Table Types and Views

Table types and data protection

Select the correct view type

Understanding Materialized Views

Working with Unstructured Data

Generating a pre-signed URL

Pre-signed URL use case

4

AI/ML, Data Protection, and Sharing

Round out your Snowflake foundation by exploring its growing AI/ML ecosystem — from Snowpark and Cortex to Streamlit and Notebooks. You'll also cover essential data protection techniques like Time Travel and cloning, and see how the Snowflake Marketplace enables easy data sharing.

Tools for Every Team

Match Snowflake tools to their use cases

Notebook Properties

Snowflake Cortex and ML Features

Pick the right Cortex function for PDF extraction

Snowflake Cortex vs Snowflake ML

Data Protection and Sharing

Querying historical data with Time Travel

Creating a zero-copy clone

Create and Test a Zero-Copy Clone

Earn your Snowflake University Platform Badge

Congratulations!

Snowflake Architecture

강의
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19백만 명 이상의 학습자와 함께 Snowflake Architecture을(를) 시작하세요!

무료 계정을 만드세요

또는

계속 진행하시면 당사의 이용약관, 개인정보처리방침 및 귀하의 데이터가 미국에 저장되는 것에 동의하시는 것입니다.

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