Jumpstart Snowflake : A Step-by-Step Guide to Modern Cloud Analytics / by Dmitry Anoshin, Dmitry Shirokov, Donna Strok.

Format:

Book

Author/Creator:

Anoshin, Dmitry, Author.

Shirokov, Dmitry., Author.

Strok, Donna, Author.

Language:

English

Subjects (All):

Application software.

Computer Applications.

Local Subjects:

Computer Applications.

Physical Description:

1 online resource (270 pages)

Edition:

1st ed. 2020.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2020.

System Details:

text file

Summary:

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.

Contents:

Chapter 1: Getting Started with Cloud Analytics- Chapter 2: Getting Started with Snowflake

Chapter 3: Virtual Warehouse

Chapter 4: Loading Bulk Data into Snowflake

Chapter 5: Getting Started with SnowSQL

Chapter 6: Continuous Data Loading with Snowpipe

Chapter 7: Snowflake Administration

Chapter 8: Snowflake Security Overview

Chapter 9: Working with Semi Structured Data

Chapter 10: Secure Data Sharing

Chapter 11: Design Modern Analytics Solution with Snowflake

Chapter 12: Snowflake and Data Science

Chapter 13: Migration to Snowflake

Chapter 14: Time Travel.

Notes:

Includes index.

Includes bibliographical references.

ISBN:

9781484253281

1484253280

OCLC:

1154456019