Snowflake SnowPro Advanced Architect Certification companion : hands-on preparation and practice / Ruchi Soni.

Author
Soni, Ruchi [Browse]
Format
Book
Language
English
Εdition
1st ed. 2023.
Published/​Created
  • New York, NY : Apress Media LLC, [2023]
  • ©2023
Description
1 online resource (XXVI, 222 p. 87 illus.)

Details

Subject(s)
Series
Summary note
Master the intricacies of Snowflake and prepare for the SnowPro Advanced Architect Certification exam with this comprehensive study companion. This book provides robust and effective study tools to help you prepare for the exam and is also designed for those who are interested in learning the advanced features of Snowflake. The practical examples and in-depth background on theory in this book help you unleash the power of Snowflake in building a high-performance system. The best practices demonstrated in the book help you use Snowflake more powerfully and effectively as a data warehousing and analytics platform. Reading this book and reviewing the concepts will help you gain the knowledge you need to take the exam. The book guides you through a study of the different domains covered on the exam: Accounts and Security, Snowflake Architecture, Data Engineering, and Performance Optimization. You’ll also be well positioned to apply your newly acquired practical skills to real-world Snowflake solutions. You will have a deep understanding of Snowflake to help you take full advantage of Snowflake’s architecture to deliver value analytics insight to your business. What You Will Learn Gain the knowledge you need to prepare for the exam Review in-depth theory on Snowflake to help you build high-performance systems Broaden your skills as a data warehouse designer to cover the Snowflake ecosystem Optimize performance and costs associated with your use of the Snowflake data platform Share data securely both inside your organization and with external partners Apply your practical skills to real-world Snowflake solutions.
Bibliographic references
Includes bibliographical references and index.
Source of description
Description based on print version record.
Contents
  • 1. Exam Overview
  • 2. Snowflake Architecture and Overview
  • 3. Kafka Connectors and Client Drivers
  • 4. Loading Data in Snowflake
  • 5. Data Unloading from Snowflake
  • 6. Tables and Views
  • 7. Clustering and Micro-partitions
  • 8. Cloning
  • 9. Secure Data Sharing
  • 10. Semi-structured Data
  • 11. Time Travel and Fail Safe
  • 12. Continuous Data Pipeline
  • 13. Data Replication and Failovers
  • 14. Managing Account and Security
  • 15. Query Profile and Tuning
  • 16. Performance and Resource Optimization
  • 17. Snowflake Best Practices.
ISBN
1-4842-9262-6
OCLC
1376536566
Doi
  • 10.1007/978-1-4842-9262-4
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