Bộ sách luyện thi ETS 2023 LC&RC
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Embark on the data journey with the ultimate guide
to Snowflake mastery KEY FEATURES ● Learn about Snowflake cloud-based
data architecture and its basics. ● Learn and implement Snowflake’s
unified features with use cases. ● Design and deploy robust enterprise
data architectures with Snowflake. DESCRIPTION Handling ever evolving
data for business needs can get complex. Traditional methods create
bulky and costly-to-maintain data systems. Here, Snowflake emerges as a
cost-effective solution, catering to both traditional and modern data
needs with zero or minimal maintenance costs. This book helps you grasp
Snowflake, guiding you to create complete solutions from start to
finish. The starting focus covers Snowflake architecture, key features,
native loading and unloading capabilities, ANSI SQL support, and
processing of diverse data types and objects. The next part utilizes
acquired knowledge to look into implementing data security, governance,
and collaborations, utilizing Snowflake's features like data sharing and
cloning. The final part explores advanced topics, including streams,
tasks, performance optimizations, cost efficiencies, and
operationalization with automated monitoring. Real-time use cases and
reference architectures are provided to assist readers in implementing
data warehouse, data lake, and data mesh solutions with Snowflake. WHAT
YOU WILL LEARN ● Introduction to Snowflake and its three-layered
architecture. ● Understand Snowflake’s native features. ● Understand the
different types of data workloads and their architecture designs. ●
Implement query and cost performance optimization using Snowflake native
services. ● Introduction to Snowflake’s advanced features like dynamic
and event tables. ● Snowflake’s capabilities with extended support to
implement large language models. WHO THIS BOOK IS FOR This book is for
data practitioners, data engineers, data architects, or every data
enthusiast who is keen on learning Snowflake. It does not need any prior
experience, however, it is beneficial to have a basic understanding of
cloud computing, data concepts and basic programming skills. TABLE OF
CONTENTS 1. Getting Started with Snowflake 2. Three Layered Architecture
3. Data Types, Data Objects and SQL Commands 4. Data Loading and
Unloading 5. Understanding Streams and Tasks 6. Understanding Snowpark
7. Access Control and Managing Users Roles 8. Data Protection and
Recovery 9. Snowflake Performance Optimization 10. Understanding
Snowflake Costing and Utilizations 11. Implementing Cost Optimizations
12. Data Sharing 13. Data Cloning 14. Understanding Snowsight 15.
Programming Connectors and Drivers 16. Workload Patterns with Snowflake
17. Introduction to Snowflake’s Advance Features
Year:2024
Publisher:BPB Publications
Language:english
Pages:535
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