000			03804cam a2200277zu 4500
001			88974185
003			FRCYB88974185
005			20251020124308.0
006			m o d
007			cr un
008			251020s2025 fr | o|||||0|0|||eng d
020			_a9789365899382
035			_aFRCYB88974185
040			_aFR-PaCSA _ben _c _erda
100	1		_aKelgaonkar, Pooja
245	0	1	_aArchitecting Data Solutions with Snowflake _bDesign scalable, cloud-native data platforms for analytics, warehousing, and beyond (English Edition) _c['Kelgaonkar, Pooja']
264		1	_bBPB Publications _c2025
300			_a p.
336			_btxt _2rdacontent
337			_bc _2rdamdedia
338			_bc _2rdacarrier
650		0	_a
700	0		_aKelgaonkar, Pooja
856	4	0	_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88974185 _qtext/html _a
520			_a<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
999			_c1556893 _d1556893