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

How Snowflake Works

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.

Membuat dan Mengelola Objek Basis Data

Menyiapkan struktur database Snowy Peak

Memberikan hak istimewa yang tepat

Virtual Warehouse: Jenis, Pengukuran, dan Penskalaan

Mengidentifikasi warehouse yang salah konfigurasi

Opsi

Snowpark Optimized

Standard

Mencocokkan beban kerja dengan konfigurasi warehouse

Menyelesaikan masalah konkurensi

Memuat Data Terstruktur dan Semi-Terstruktur

Memuat data pengguna Snowy Peak

Mengekueri data kejadian longsoran salju milik Snowy Peak

Virtual Warehouses and Loading Data

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

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!

AI/ML, Data Protection, and Sharing

Dapatkan gambaran lengkap tentang bagaimana Snowflake dibangun dan mengapa ia bekerja seperti itu. Mulai dari arsitektur tiga lapis yang memisahkan komputasi, penyimpanan, dan layanan cloud, Anda akan mempelajari gudang virtual, seluk-beluk penyimpanan, serta kapabilitas AI/ML Snowflake. Pada akhirnya, Anda akan memiliki model mental dasar yang dibutuhkan untuk bekerja secara efektif di Snowflake.

Dapatkan gambaran lengkap tentang bagaimana Snowflake dibangun dan mengapa Snowflake bekerja seperti itu. Dimulai dari arsitektur tiga lapis yang memisahkan komputasi, penyimpanan, dan layanan cloud, Anda akan mempelajari virtual warehouse, internal penyimpanan, dan kemampuan AI/ML Snowflake. Pada akhirnya, Anda akan memiliki model mental dasar yang diperlukan untuk bekerja secara efektif di Snowflake.

Pahami arsitektur tiga lapis Snowflake dan bangun model mental untuk bekerja efektif di Snowflake.

Arsitektur Snowflake

Kuasai arsitektur tiga lapis Snowflake dan bangun model mental yang Anda butuhkan untuk bekerja efektif di Snowflake.

Essentials for Snowflake SnowPro® Core Certification

Memuat data pengguna Snowy Peak

Arsitektur Snowflake

Latihan interaktif praktis