LEADER 03742nam 22005415 450 001 9911018659703321 005 20251214173945.0 010 $a979-88-6881-533-1 024 7 $a10.1007/979-8-8688-1533-1 035 $a(CaSebORM)9798868815331 035 $a(CKB)40150868000041 035 $a(OCoLC)1531312127 035 $a(OCoLC-P)1531312127 035 $a(DE-He213)979-8-8688-1533-1 035 $a(MiAaPQ)EBC32256151 035 $a(Au-PeEL)EBL32256151 035 $a(EXLCZ)9940150868000041 100 $a20250806d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aJumpstart Snowflake $eA Step-by-Step Guide to Modern Cloud Analytics /$fby Dmitry Anoshin, Dmitry Foshin, Donna Strok 205 $a2nd ed. 2025. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2025. 215 $a1 online resource 225 1 $aProfessional and Applied Computing Series 311 08$a979-88-6881-532-4 327 $aChapter 1: Getting Started with Modern Analytics -- Chapter 2: Getting Started with Snowflake. -- Chapter 3: Continuous Data Loading with Snowpipe and Dynamic Tables- Chapter 4: Snowflake Administration and RBAC -- Chapter 5: Secure Data Sharing. -- Chapter 6: Getting Started with SnowPark -- Chapter 7: Working with Iceberg Tables -- Chapter 8: Getting Started with Streamlit -- Chapter 9: Designing a Modern Analytics Solution with Snowflake -- Chapter 10: Performance Optimization and Cost Monitoring -- Chapter 11: Snowflake and Generative AI -- Chapter 12: Migrating to Snowflake. 330 $aThis book is your guide to the modern market of data analytics platforms and the benefits of using Snowflake, the data warehouse built for the cloud. As organizations increasingly rely on modern cloud data platforms, the core of any analytics framework?the data warehouse?is more important than ever. This updated 2nd edition ensures you are ready to make the most of the industry?s leading data warehouse. This book will onboard you to Snowflake and present best practices for deploying and using the Snowflake data warehouse. The book also covers modern analytics architecture, integration with leading analytics software such as Matillion ETL, Tableau, and Databricks, and migration scenarios for on-premises legacy data warehouses. This new edition includes expanded coverage of SnowPark for developing complex data applications, an introduction to managing large datasets with Apache Iceberg tables, and instructions for creating interactive data applications using Streamlit, ensuring readers are equipped with the latest advancements in Snowflake's capabilities. What You Will Learn Master key functionalities of Snowflake Set up security and access with cluster Bulk load data into Snowflake using the COPY command Migrate from a legacy data warehouse to Snowflake Integrate the Snowflake data platform with modern business intelligence (BI) and data integration tools Manage large datasets with Apache Iceberg Tables Implement continuous data loading with Snowpipe and Dynamic Tables. 410 0$aProfessional and Applied Computing Series 606 $aCloud computing 606 $aDatabase management 606 $aInformation technology$xManagement 615 0$aCloud computing. 615 0$aDatabase management. 615 0$aInformation technology$xManagement. 676 $a005.74/5 700 $aAnoshin$b Dmitry$0938705 701 $aFoshin$b Dmitry$01846608 701 $aStrok$b Donna$01846609 801 0$bOCoLC-P 801 1$bOCoLC-P 906 $aBOOK 912 $a9911018659703321 996 $aJumpstart Snowflake$94431292 997 $aUNINA