Architecting Data Solutions with Snowflake (notice n° 1556893)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03804cam a2200277zu 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | FRCYB88974185 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251020124308.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 251020s2025 fr | o|||||0|0|||eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789365899382 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | FRCYB88974185 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | FR-PaCSA |
| Language of cataloging | en |
| Transcribing agency | |
| Description conventions | rda |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Kelgaonkar, Pooja |
| 245 01 - TITLE STATEMENT | |
| Title | Architecting Data Solutions with Snowflake |
| Remainder of title | Design scalable, cloud-native data platforms for analytics, warehousing, and beyond (English Edition) |
| Statement of responsibility, etc. | ['Kelgaonkar, Pooja'] |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Name of producer, publisher, distributor, manufacturer | BPB Publications |
| Date of production, publication, distribution, manufacture, or copyright notice | 2025 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | p. |
| 336 ## - CONTENT TYPE | |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type code | c |
| Source | rdamdedia |
| 338 ## - CARRIER TYPE | |
| Carrier type code | c |
| Source | rdacarrier |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | <b>Description</b><br>Modern businesses need scalable, cost-efficient data platforms; however, traditional, fragmented systems are complex and expensive. Snowflake provides a modern, cloud-native, fully managed solution, simplifying data architecture while delivering performance and flexibility. This book helps readers leverage Snowflake's full potential for advanced, scalable data solutions.<br><br> This book begins by walking you through Snowflake account configuration and its unique three-layered architecture, introducing key architectural pillars. The book covers building data engineering pipelines using various methods like Snowpipe and Snowpark, differentiating between ETL and ELT patterns. Finally, you will learn to architect diverse data patterns, such as data warehouses, data lakes, data mesh, and lakehouses, and explore Snowpark for machine learning, Snowflake Horizon, Cortex, and building generative AI and LLM solutions.<br><br> This book equips you with the knowledge to design and implement modern data solutions, including data warehouses, lakes, and mesh patterns, using Snowflake. You will be well-equipped to tackle complex data architecture challenges and drive innovation in any data-driven environment.<p></p> <b>What you will learn</b><br/>? Learn to design data platform solutions with Snowflake.<br>? Design scalable and cost-effective data architectures.<br>? Implement efficient data ingestion and extraction pipelines.<br>? Implement modern data patterns, including data warehouse, data lake, and data mesh, using Snowflake’s flexible architecture.<br>? Apply modern data governance and security practices.<br>? Design AI/ML workloads using Snowflake Cortex.<p></p> <b>Who this book is for</b><br>This book is designed for data enthusiasts, architects, and engineers who are looking to build modern, cloud-native data platforms using Snowflake. Whether you are designing your first data solution or optimizing complex enterprise architectures, this book offers practical insights, patterns, and real-world examples to elevate your data skills. <p></p> <b>Table of Contents</b><br>1. Navigating Snowflake Account Setup and Configuration<br>2. Unraveling the Three-Tier Architecture<br>3. The Pillars of Architectural Excellence<br>4. Understanding Snowflake's Security Features<br>5. Implementing Data Governance<br>6. Evaluating and Optimizing Snowflake’s Performance<br>7. Unlocking Snowflake’s Cost and Performance<br>8. Implementing Data Integrations<br>9. Designing Data Solutions<br>10. Designing Data Engineering Pipelines<br>11. Designing ETL and ELT With Snowflake<br>12. Architecting Data Warehouse<br>13. Implementing Data Lake Solutions<br>14. Exploring Data Mesh Design Options<br>15. Building Data Lakehouses<br>16. Embracing Snowpark and Snowpark ML<br>17. Architecting LLM Solutions with Snowflake<br>18. Unleashing Snowflake’s Advanced Capabilities |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Kelgaonkar, Pooja |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Access method | Cyberlibris |
| Uniform Resource Identifier | <a href="https://international.scholarvox.com/netsen/book/88974185">https://international.scholarvox.com/netsen/book/88974185</a> |
| Electronic format type | text/html |
| Host name | |
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