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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...
| Cote: | Libro Electrónico |
|---|---|
| Auteur principal: | |
| Autres auteurs: | , |
| Format: | Électronique eBook |
| Langue: | Inglés |
| Publié: |
Berkeley, CA :
Apress L.P.,
2020.
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| Sujets: | |
| Accès en ligne: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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|---|---|---|---|
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| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr un|---aucuu | ||
| 008 | 200104s2020 cau o 001 0 eng d | ||
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| 019 | |a 1137856836 | ||
| 020 | |a 9781484253281 |q (electronic bk.) | ||
| 020 | |a 1484253280 |q (electronic bk.) | ||
| 020 | |z 9781484253274 |q (print) | ||
| 024 | 8 | |a 10.1007/978-1-4842-5 | |
| 029 | 1 | |a AU@ |b 000066483295 | |
| 035 | |a (OCoLC)1134076911 |z (OCoLC)1137856836 | ||
| 050 | 4 | |a QA76.9.D37 | |
| 050 | 4 | |a QA75.5-76.95 | |
| 082 | 0 | 4 | |a 005.74/5 |2 23 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Anoshin, Dmitry. | |
| 245 | 1 | 0 | |a Jumpstart Snowflake : |b a step-by-step guide to modern cloud analytics / |c Dmitry Anoshin, Dmitry Shirokov, Donna Strok. |
| 260 | |a Berkeley, CA : |b Apress L.P., |c 2020. | ||
| 300 | |a 1 online resource (270 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 500 | |a Administering Data Shares | ||
| 500 | |a Includes index. | ||
| 520 | |a 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, or Google Cloud Platform. Cloud vendors are offering modern data platforms for building cloud analytics solutions to collect data and consolidate into single storage solutions that provide insights for business users. The core of any analytics framework is the data warehouse, and previously customers did not have many choices of platform to use. Snowflake was built specifically for the cloud and it is a true game changer for the analytics market. This book will help onboard you to Snowflake, present best practices to deploy, and use the Snowflake data warehouse. In addition, it covers modern analytics architecture and use cases. It provides use cases of integration with leading analytics software such as Matillion ETL, Tableau, and Databricks. Finally, it covers migration scenarios for on-premise legacy data warehouses. You will: Know the key functionalities of Snowflake Set up security and access with cluster Bulk load data into Snowflake using the COPY command Migrate from a legacy data warehouse to Snowflake integrate the Snowflake data platform with modern business intelligence (BI) and data integration tools. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Data warehousing. | |
| 650 | 0 | |a Cloud computing. | |
| 650 | 6 | |a Entrepôts de données (Informatique) | |
| 650 | 6 | |a Infonuagique. | |
| 650 | 7 | |a Cloud computing. |2 fast |0 (OCoLC)fst01745899 | |
| 650 | 7 | |a Data warehousing. |2 fast |0 (OCoLC)fst00888026 | |
| 700 | 1 | |a Shirokov, Dmitry. | |
| 700 | 1 | |a Strok, Donna. | |
| 776 | 0 | 8 | |i Print version: |a Anoshin, Dmitry. |t Jumpstart Snowflake : A Step-By-Step Guide to Modern Cloud Analytics. |d Berkeley, CA : Apress L.P., ©2020 |z 9781484253274 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781484253281/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL6000751 | ||
| 938 | |a YBP Library Services |b YANK |n 16595780 | ||
| 994 | |a 92 |b IZTAP | ||