Building modern data stack de veyson eira (5 resultados)
- Tapa blanda
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 37,27
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
- Tapa blanda
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 33,89
Envío por EUR 5,86Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
- Tapa blanda
- Impresión bajo demanda
Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 33,07
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Print on Demand.
- Tapa blanda
- Impresión bajo demanda
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 37,82
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Build a reliable modern data stack that takes you from raw source data to trustworthy insight with Fivetran, dbt, and Snowflake working together.Many teams have Snowflake, a few Fivetran connectors, and a growing dbt project, yet still struggle with broken dashboards, unclear ownership, and…costs that are hard to explain. Pipelines feel fragile, changes feel risky, and every new request threatens to undo yesterday's fixes.This book gives you a practical, end to end blueprint for designing, implementing, and operating an ELT platform that is stable, auditable, and cost aware. You will see how to combine Fivetran, dbt, and Snowflake into a coherent system, with clear patterns for reliability, governance, and performance at each layer.Design a modern ELT architecture on Snowflake with raw, staging, and marts layers that support analytics instead of fighting it.Set up Snowflake accounts, roles, warehouses, and secure defaults, including RBAC, authentication policies, masking, and row access.Plan ingestion with Fivetran connectors, handle schema drift and deletes correctly, and keep ingestion behavior compatible with downstream models.Build robust dbt projects, from staging and intermediate models to dimensional marts, with tests, contracts, documentation, and lineage.Define metrics consistently using the dbt semantic layer, and connect marts and metrics to dashboards and other consumers through exposures.Engineer Snowflake performance with thoughtful warehouse design, micro partition pruning, clustering, and selective use of advanced features.Apply FinOps practices, forecast Fivetran MAR, monitor Snowflake spend, use resource monitors and query tags, and attribute cost back to teams or products.Operate the platform day to day with logging, alerting, incident response, change management, and postmortems that feed real reliability improvements.Adopt advanced patterns such as incremental backfills for large fact tables, dynamic tables for declarative refresh, and hybrid designs with streams and tasks alongside dbt.Work through a full capstone project that builds a source to insight pipeline, including ingestion setup, transformations, governance controls, and operational runbooks.This is a code heavy, practical guide with working SQL, dbt, and YAML examples that you can adapt directly into your own Fivetran Snowflake projects.Grab your copy today and build a modern data stack your stakeholders can trust. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Tapa blanda
- Impresión bajo demanda
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 37,86
Envío por EUR 43,20Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Build a reliable modern data stack that takes you from raw source data to trustworthy insight with Fivetran, dbt, and Snowflake working together.Many teams have Snowflake, a few Fivetran connectors, and a growing dbt project, yet still struggle with broken dashboards, unclear ownership, and…costs that are hard to explain. Pipelines feel fragile, changes feel risky, and every new request threatens to undo yesterday's fixes.This book gives you a practical, end to end blueprint for designing, implementing, and operating an ELT platform that is stable, auditable, and cost aware. You will see how to combine Fivetran, dbt, and Snowflake into a coherent system, with clear patterns for reliability, governance, and performance at each layer.Design a modern ELT architecture on Snowflake with raw, staging, and marts layers that support analytics instead of fighting it.Set up Snowflake accounts, roles, warehouses, and secure defaults, including RBAC, authentication policies, masking, and row access.Plan ingestion with Fivetran connectors, handle schema drift and deletes correctly, and keep ingestion behavior compatible with downstream models.Build robust dbt projects, from staging and intermediate models to dimensional marts, with tests, contracts, documentation, and lineage.Define metrics consistently using the dbt semantic layer, and connect marts and metrics to dashboards and other consumers through exposures.Engineer Snowflake performance with thoughtful warehouse design, micro partition pruning, clustering, and selective use of advanced features.Apply FinOps practices, forecast Fivetran MAR, monitor Snowflake spend, use resource monitors and query tags, and attribute cost back to teams or products.Operate the platform day to day with logging, alerting, incident response, change management, and postmortems that feed real reliability improvements.Adopt advanced patterns such as incremental backfills for large fact tables, dynamic tables for declarative refresh, and hybrid designs with streams and tasks alongside dbt.Work through a full capstone project that builds a source to insight pipeline, including ingestion setup, transformations, governance controls, and operational runbooks.This is a code heavy, practical guide with working SQL, dbt, and YAML examples that you can adapt directly into your own Fivetran Snowflake projects.Grab your copy today and build a modern data stack your stakeholders can trust. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
