Snowflake: The Definitive Guide Joyce Kay Avila

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Spis treści książki

• Preface
  • Origin of the Book
  • Who Is This Book For?
  • Goals of the Book
  • Navigating this Book
  • Using Code Examples
  • Conventions Used in This Book
  • OReilly Online Learning
  • How to Contact Us
  • Acknowledgments
• 1. Getting Started
  • Snowflake Web User Interfaces
  • Prep Work
  • Snowsight Orientation
  • Snowsight Preferences
  • Navigating Snowsight Worksheets
    • Context Setting
    • Improved Productivity
      • Using contextual suggestions from Smart Autocomplete
      • Formatting SQL
      • Using shortcuts
      • Accessing version history
  • Snowflake Community
  • Snowflake Certifications
  • Snowday and Snowflake Summit Events
  • Important Caveats About Code Examples in the Book
  • Code Cleanup
  • Summary
  • Knowledge Check
• 2. Creating and Managing the Snowflake Architecture
  • Prep Work
  • Traditional Data Platform Architectures
    • Shared-Disk (Scalable) Architecture
    • Shared-Nothing (Scalable) Architecture
    • NoSQL Alternatives
  • The Snowflake Architecture
  • The Cloud Services Layer
    • Managing the Cloud Services Layer
    • Billing for the Cloud Services Layer
  • The Query Processing (Virtual Warehouse) Compute Layer
    • Virtual Warehouse Size
    • Scaling Up a Virtual Warehouse to Process Large Data Volumes and Complex Queries
    • Scaling Out with Multicluster Virtual Warehouses to Maximize Concurrency
    • Creating and Using Virtual Warehouses
    • Separation of Workloads and Workload Management
    • Billing for the Virtual Warehouse Layer
  • Centralized (Hybrid Columnar) Database Storage Layer
    • Introduction to Zero-Copy Cloning
    • Introduction to Time Travel
    • Billing for the Storage Layer
  • Snowflake Caching
    • Query Result Cache
    • Metadata Cache
    • Virtual Warehouse Local Disk Cache
  • Code Cleanup
  • Summary
  • Knowledge Check
• 3. Creating and Managing Snowflake Securable Database Objects
  • Prep Work
  • Creating and Managing Snowflake Databases
  • Creating and Managing Snowflake Schemas
    • INFORMATION_SCHEMA
    • ACCOUNT_USAGE Schema
    • Schema Object Hierarchy
  • Introduction to Snowflake Tables
  • Creating and Managing Views
  • Introduction to Snowflake Stages: File Format Included
  • Extending SQL with Stored Procedures and UDFs
    • User-Defined Function (UDF): Task Included
    • Secure SQL UDTF That Returns Tabular Value (Market Basket Analysis Example)
    • Stored Procedures
  • Introduction to Pipes, Streams, and Sequences
  • Snowflake Streams (Deep Dive)
  • Snowflake Tasks (Deep Dive)
  • Code Cleanup
  • Summary
  • Knowledge Check
• 4. Exploring Snowflake SQL Commands, Data Types, and Functions
  • Prep Work
  • Working with SQL Commands in Snowflake
    • DDL Commands
    • DCL Commands
    • DML Commands
    • TCL Commands
    • DQL Command
  • SQL Query Development, Syntax, and Operators in Snowflake
    • SQL Development and Management
    • Query Syntax
      • Subqueries, derived columns, and CTEs
      • Caution about multirow inserts
    • Query Operators
    • Long-Running Queries, and Query Performance and Optimization
    • Snowflake Query Limits
  • Introduction to Data Types Supported by Snowflake
    • Numeric Data Types
    • String and Binary Data Types
    • Date and Time Input/Output Data Types
    • Semi-Structured Data Types
    • Unstructured Data Types
    • How Snowflake Supports Unstructured Data Use
      • Stage file URL access
      • Scoped URL access
      • Presigned URL access
      • Processing unstructured data with Java functions and external functions
  • Snowflake SQL Functions and Session Variables
    • Using System-Defined (Built-In) Functions
      • Scalar functions
      • Aggregate functions
      • Table functions
      • System functions
    • Creating SQL and JavaScript UDFs and Using Session Variables
    • External Functions
  • Code Cleanup
  • Summary
  • Knowledge Check
• 5. Leveraging Snowflake Access Controls
  • Prep Work
  • Creating Snowflake Objects
  • Snowflake System-Defined Roles
  • Creating Custom Roles
    • Functional-Level Business and IT Roles
    • System-Level Service Account and Object Access Roles
  • Role Hierarchy Assignments: Assigning Roles to Other Roles
  • Granting Privileges to Roles
  • Assigning Roles to Users
  • Testing and Validating Our Work
  • User Management
  • Role Management
  • Snowflake Multi-Account Strategy
  • Managing Users and Groups with SCIM
  • Code Cleanup
  • Summary
  • Knowledge Check
• 6. Data Loading and Unloading
  • Prep Work
  • Basics of Data Loading and Unloading
    • Data Types
      • Semi-structured data types
    • File Formats
    • Data File Compression
    • Frequency of Data Processing
      • Batch processing
      • Streaming, continuous loading, and micro-batch processing
    • Snowflake Stage References
      • Named stages
      • User stages
      • Table stages
    • Data Sources
  • Data Loading Tools
    • Snowflake Worksheet SQL Using INSERT INTO and INSERT ALL Commands
      • Single-row inserts for structured and semi-structured data
      • Multirow inserts for structured and semi-structured data
      • Multitable inserts
      • ARRAY_INSERT
      • OBJECT_INSERT
    • Web UI Load Data Wizard
      • Structured data example
    • SnowSQL CLI SQL PUT and COPY INTO Commands
    • Data Pipelines
      • Using Apache Kafka
      • Automating Snowpipe using cloud messaging and optional on-premises Kafka clusters
      • Calling Snowpipe REST endpoints
    • Third-Party ETL and ELT Tools
  • Alternatives to Loading Data
  • Tools to Unload Data
  • Data Loading Best Practices for Snowflake Data Engineers
    • Select the Right Data Loading Tool and Consider the Appropriate Data Type Options
    • Avoid Row-by-Row Data Processing
    • Choose the Right Snowflake Virtual Warehouse Size and Split Files as Needed
    • Transform Data in Steps and Use Transient Tables for Intermediate Results
  • Code Cleanup
  • Summary
  • Knowledge Check
• 7. Implementing Data Governance, Account Security, and Data Protection and Recovery
  • Prep Work
  • Snowflake Security
    • Controlling Account Access
      • Authentication and user management
      • Managing network security policies and firewall access
    • Monitoring Activity with the Snowflake ACCESS_HISTORY Account Usage View
    • Data Protection and Recovery
      • Encryption and key management
      • Time Travel and fail-safe
    • Replication and Failover
  • Democratizing Data with Data Governance Controls
    • INFORMATION_SCHEMA Data Dictionary
    • Object Tagging
    • Classification
      • Classification category types
    • Data Masking
      • Dynamic data masking
      • Conditional masking
      • Static masking
    • Row Access Policies and Row-Level Security
    • External Tokenization
    • Secure Views and UDFs
    • Object Dependencies
  • Code Cleanup
  • Summary
  • Knowledge Check
• 8. Managing Snowflake Account Costs
  • Prep Work
  • Snowflake Monthly Bill
    • Storage Fees
    • Data Transfer Costs
    • Compute Credits Consumed
  • Creating Resource Monitors to Manage Virtual Warehouse Usage and Reduce Costs
    • Resource Monitor Credit Quota
    • Resource Monitor Credit Usage
    • Resource Monitor Notifications and Other Actions
    • Resource Monitor Rules for Assignments
    • DDL Commands for Creating and Managing Resource Monitors
  • Using Object Tagging for Cost Centers
  • Querying the ACCOUNT_USAGE View
  • Using BI Partner Dashboards to Monitor Snowflake Usage and Costs
  • Snowflake Agile Software Delivery
    • Why Do We Need DevOps?
    • Continuous Data Integration, Continuous Delivery, and Continuous Deployment
    • What Is Database Change Management?
      • Overcoming the unique challenges of database changes
      • DCM tools for a heavyweight Snowflake DevOps framework
    • How Zero-Copy Cloning Can Be Used to Support Dev/Test Environments
  • Code Cleanup
  • Summary
  • Knowledge Check
• 9. Analyzing and Improving Snowflake Query Performance
  • Prep Work
  • Analyzing Query Performance
    • QUERY_HISTORY Profiling
    • HASH() Function
    • Web UI History
      • Using Snowflakes Query Profile tool
  • Understanding Snowflake Micro-Partitions and Data Clustering
    • Partitions Explained
    • Snowflake Micro-Partitions Explained
  • Snowflake Data Clustering Explained
    • Clustering Width and Depth
    • Choosing a Clustering Key
      • Table data characteristics and workload considerations
    • Creating a Clustering Key
    • Reclustering
  • Performance Benefits of Materialized Views
  • Exploring Other Query Optimization Techniques
    • Search Optimization Service
    • Query Optimization Techniques Compared
  • Summary
  • Code Cleanup
  • Knowledge Check
• 10. Configuring and Managing Secure Data Sharing
  • Snowflake Architecture Data Sharing Support
  • The Power of Snowgrid
  • Data Sharing Use Cases
  • Snowflake Support for Unified ID 2.0
  • Snowflake Secure Data Sharing Approaches
  • Prep Work
  • Snowflakes Direct Secure Data Sharing Approach
    • Creating Outbound Shares
      • Data providers role in creating and managing shares
      • Setting up a reader account
    • How Inbound Shares Are Used by Snowflake Data Consumers
      • Understanding consumer accounts: reader accounts versus full accounts
      • How the ACCOUNT_USAGE share is different from all other inbound shares
      • Comparison between databases on inbound shares and regular databases
  • How to List and Shop on the Public Snowflake Marketplace
    • Snowflake Marketplace for Providers
      • Provider Studio
    • Standard Versus Personalized Data Listings
  • Harnessing the Power of a Snowflake Private Data Exchange
  • Snowflake Data Clean Rooms
  • Important Design, Security, and Performance Considerations
    • Share Design Considerations
    • Share Security Considerations
    • Share Performance Considerations
    • Difference Between Database Sharing and Database Cloning
    • Data Shares and Time Travel Considerations
    • Sharing of Data Shares
  • Summary
  • Code Cleanup
  • Knowledge Check
• 11. Visualizing Data in Snowsight
  • Prep Work
  • Data Sampling in Snowsight
    • Fixed-Size Sampling Based on a Specific Number of Rows
    • Fraction-Based Sampling Based on Probability
    • Previewing Fields and Data
    • Sampling Examples
  • Using Automatic Statistics and Interactive Results
  • Snowsight Dashboard Visualization
    • Creating a Dashboard and Tiles
    • Working with Chart Visualizations
    • Aggregating and Bucketing Data
    • Editing and Deleting Tiles
  • Collaboration
    • Sharing Your Query Results
    • Using a Private Link to Collaborate on Dashboards
  • Summary
  • Code Cleanup
  • Knowledge Check
• 12. Workloads for the Snowflake Data Cloud
  • Prep Work
  • Data Engineering
  • Data Warehousing
    • Data Vault 2.0 Modeling
    • Transforming Data within Snowflake
  • Data Lake
  • Data Collaboration
    • Data Monetization
    • Regulatory and Compliance Requirements for Data Sharing
  • Data Analytics
    • Advanced Analytics for the Finance Industry
    • Advanced Analytics for the Healthcare Industry
    • Advanced Analytics for the Manufacturing Industry and Logistics Services
    • Marketing Analytics for Retail Verticals and the Communications and Media Industry
  • Data Applications
  • Data Science
    • Snowpark
    • Streamlit
  • Cybersecurity Using Snowflake as a Security Data Lake
    • Overcoming the Challenges of a SIEM-Only Architecture
    • Search Optimization Service Versus Clustering
  • Unistore
    • Transactional Workload Versus Analytical Workload
    • Hybrid Tables
  • Summary
  • Code Cleanup
  • Knowledge Check
• A. Answers to the Knowledge Check Questions
  • Chapter 1
  • Chapter 2
  • Chapter 3
  • Chapter 4
  • Chapter 5
  • Chapter 6
  • Chapter 7
  • Chapter 8
  • Chapter 9
  • Chapter 10
  • Chapter 11
  • Chapter 12
• B. Snowflake Object Naming Best Practices
  • General (Character Related)
  • General (Not Character Related)
  • Standard Label Abbreviations
• C. Setting Up a Snowflake Trial Account
• Index

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