{"product_id":"building-the-modern-data-stack-eira-veyson-9798243318938","title":"Building the Modern Data Stack with Fivetran, Dbt, and Snowflake: Automate ELT Pipelines, Transform Data with SQL, and Drive Analytics from Source to","description":"\u003cp\u003e\u003cb\u003eBuild a reliable modern data stack that takes you from raw source data to trustworthy insight with Fivetran, dbt, and Snowflake working together.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eMany 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.\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDesign a modern ELT architecture on Snowflake with raw, staging, and marts layers that support analytics instead of fighting it.\u003c\/li\u003e\n\u003cli\u003eSet up Snowflake accounts, roles, warehouses, and secure defaults, including RBAC, authentication policies, masking, and row access.\u003c\/li\u003e\n\u003cli\u003ePlan ingestion with Fivetran connectors, handle schema drift and deletes correctly, and keep ingestion behavior compatible with downstream models.\u003c\/li\u003e\n\u003cli\u003eBuild robust dbt projects, from staging and intermediate models to dimensional marts, with tests, contracts, documentation, and lineage.\u003c\/li\u003e\n\u003cli\u003eDefine metrics consistently using the dbt semantic layer, and connect marts and metrics to dashboards and other consumers through exposures.\u003c\/li\u003e\n\u003cli\u003eEngineer Snowflake performance with thoughtful warehouse design, micro partition pruning, clustering, and selective use of advanced features.\u003c\/li\u003e\n\u003cli\u003eApply FinOps practices, forecast Fivetran MAR, monitor Snowflake spend, use resource monitors and query tags, and attribute cost back to teams or products.\u003c\/li\u003e\n\u003cli\u003eOperate the platform day to day with logging, alerting, incident response, change management, and postmortems that feed real reliability improvements.\u003c\/li\u003e\n\u003cli\u003eAdopt advanced patterns such as incremental backfills for large fact tables, dynamic tables for declarative refresh, and hybrid designs with streams and tasks alongside dbt.\u003c\/li\u003e\n\u003cli\u003eWork through a full capstone project that builds a source to insight pipeline, including ingestion setup, transformations, governance controls, and operational runbooks.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis is a code heavy, practical guide with working SQL, dbt, and YAML examples that you can adapt directly into your own Fivetran Snowflake projects.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eGrab your copy today and build a modern data stack your stakeholders can trust.\u003c\/b\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Eira Veyson\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798243318938\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 01\/09\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 362\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.38lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 0.75d","brand":"Eira Veyson","offers":[{"title":"Paperback","offer_id":49083969241343,"sku":"9798243318938","price":34.99,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/building-the-modern-data-stack-eira-veyson-9798243318938","provider":"WR Book House","version":"1.0","type":"link"}