Buch, Englisch, 222 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 382 g
Hands-on Preparation and Practice
Buch, Englisch, 222 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 382 g
Reihe: Certification Study Companion Series
ISBN: 978-1-4842-9261-7
Verlag: Apress
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
Who This Book Is For
Anyone who is planning to take the SnowPro Advanced Architect Certification exam, those who want to move beyond traditional database technologies and build their skills to design and architect solutions using Snowflake services, and veteran database professionals seeking an on-the-job reference to understand one of the newest and fastest-growing technologies in data
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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.