Jumpstart Snowflake : a step-by-step guide to modern cloud analytics /

Explore the modern market of data analytics platforms and the benefits of using Snowflake computing, the data warehouse built for the cloud. With the rise of cloud technologies, organizations prefer to deploy their analytics using cloud providers such as Amazon Web Services (AWS), Microsoft Azure, o...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Anoshin, Dmitry
Otros Autores: Shirokov, Dmitry, Strok, Donna
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berkeley, CA : Apress L.P., 2020.
Temas:
Data warehousing.
Cloud computing.
Entrepôts de données (Informatique)
Infonuagique.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Intro
  • Table of Contents
  • About the Authors
  • Acknowledgments
  • Chapter 1: Getting Started with Cloud Analytics
  • Time to Innovate
  • Key Cloud Computing Concepts
  • Meet Snowflake
  • Summary
  • Chapter 2: Getting Started with Snowflake
  • Planning
  • Deciding on a Snowflake Edition
  • Choosing a Cloud Provider and Region
  • Examining Snowflake's Pricing Model
  • Other Pricing Considerations
  • Examining Types of Snowflake Tools
  • Snowflake Web Interface
  • SnowSQL
  • JDBC and ODBC OS Platform Requirements
  • Third-Party Partners
  • Creating a Snowflake Account
  • Connecting to Snowflake
  • Logging Into the Snowflake Web Interface
  • Touring the Web Interface
  • Databases Page
  • Warehouses Page
  • Shares Page
  • Worksheets Page
  • History Page
  • Partner Connect Page
  • Help Menu
  • User Preferences Menu
  • Summary
  • Chapter 3: Building a Virtual Warehouse
  • Overview of Snowflake Virtual Warehouses
  • Warehouse Sizes and Features
  • Choosing the Right Size
  • Concurrency
  • Default Virtual Warehouses in Sessions
  • Multicluster Virtual Warehouses
  • Overview of Multicluster Virtual Warehouses
  • Multicluster Credits and Usage
  • Virtual Warehouse Considerations
  • Query Design
  • Caching Impacts
  • Scaling
  • Building a Snowflake Virtual Warehouse
  • Creating a Virtual Warehouse
  • Starting, Resuming, Suspending, and Resizing
  • Using a Warehouse
  • Setting Up Load Monitoring
  • Understanding Load Monitoring
  • Best Practices for Load Monitoring
  • Summary
  • Chapter 4: Loading Bulk Data into Snowflake
  • Overview of Bulk Data Loading
  • What Is Bulk Data Loading?
  • Bulk Load Locations
  • Supported File Formats and Encoding
  • Compression Handling
  • Encryption Options
  • Bulk Data Loading Recommendations
  • File Preparation
  • File Sizing
  • File Splitting
  • CSV File Preparation
  • Semistructured Data File Preparation
  • File Staging
  • Loading
  • Querying Staged Files
  • Bulk Loading with the Snowflake Web Interface
  • Summary
  • Chapter 5: Getting Started with SnowSQL
  • Installing SnowSQL
  • Configuring SnowSQL
  • Connection Settings
  • Configuration Variables
  • Configuration File Example
  • Command-Line Example
  • Executing Variables in an Active Session
  • SnowSQL Commands
  • Multiple Connection Names
  • Data Loading with SnowSQL
  • Summary
  • Chapter 6: Continuous Data Loading with Snowpipe
  • Loading Data Continuously
  • Snowpipe Auto-Ingest
  • Building a Data Pipeline Using the Snowpipe Auto-Ingest Option
  • Snowpipe REST API Using AWS Lambda
  • Summary
  • Chapter 7: Snowflake Administration
  • Administering Roles and Users
  • Enforcement Model
  • Working with Roles and Users
  • Administering Resource Consumption
  • Virtual Warehouse Usage
  • Data Storage Usage
  • Data Transfer Usage
  • Administering Databases and Warehouses
  • Managing Warehouses
  • Managing Databases
  • Zero-Copy Cloning
  • Administering Account Parameters
  • Administering Database Objects

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