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.

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

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.

Alat untuk Setiap Tim

Opsi

Snowflake Notebooks

Snowpark

Streamlit in Snowflake

Cocokkan alat Snowflake dengan kasus penggunaannya

Properti Notebook

Snowflake Cortex dan Fitur ML

Pilih fungsi Cortex yang tepat untuk ekstraksi PDF

Options

Cortex

Snowflake ML

Snowflake Cortex vs Snowflake ML

Perlindungan Data dan Berbagi

Menkueri data historis dengan Time Travel

Membuat zero-copy clone

Buat dan Uji Zero-Copy Clone

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Selamat!

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

Pilih fungsi Cortex yang tepat untuk ekstraksi PDF

Arsitektur Snowflake

Latihan interaktif praktis