Prefect and Dagster in Action: End-to-End Workflow Orchestration for Data Engineers, Data Scientists, and ML Teams - Softcover
Inhaltsangabe
Are your data pipelines constantly breaking, scaling poorly, or slowing your team down when you need reliability the most? Modern data platforms demand workflows that run consistently, recover quickly, and support rapid experimentation, yet many teams still rely on brittle, ad-hoc orchestration stitched together with scripts, cron jobs, or legacy schedulers. If you want to build systems that are resilient, observable, and production-ready, this book will show you how.
Prefect and Dagster in Action is the practical, end-to-end guide for data engineers, data scientists, ML engineers, and analytics teams who want to orchestrate pipelines the right way. Through hands-on examples, real-world patterns, and production-grade techniques, you’ll learn how modern workflow orchestrators keep data reliable, reproducible, and continuously flowing across the entire data stack.
You’ll compare Prefect and Dagster in meaningful, applied ways, how they structure workflows, enforce data quality, support asset-based development, integrate with dbt and warehouses, manage ML pipelines, and handle observability, lineage, and scale. Whether you’re building batch ETL, asset graphs, streaming-style triggers, or machine learning automation, this book shows you exactly how to make it work in production.
By the end, you will confidently be able to:
Build maintainable ETL/ELT pipelines using Prefect flows, tasks, schedules, and state management
Develop Dagster jobs, ops, and Software-Defined Assets (SDAs) for asset-first data architecture
Orchestrate dbt models, data warehouse ingestion, and machine learning pipelines
Apply robust retry logic, idempotency patterns, backfills, sensors, and event-based triggers
Use observability, metadata, and lineage tools to monitor pipelines and reduce failures
Design CI/CD, testing strategies, and IaC provisioning for orchestrators on Kubernetes and cloud platforms
Choose the right orchestrator for your organization and execute a practical migration plan
If you’re ready to replace fragile workflows with an orchestration platform that scales with your data and your team, this book gives you the tools and patterns to make it happen.
Build reliable pipelines. Improve team productivity. Ship faster with confidence.
Start reading Prefect and Dagster in Action today and transform how your organization moves data.
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Paperback. Zustand: new. Paperback. Are your data pipelines constantly breaking, scaling poorly, or slowing your team down when you need reliability the most? Modern data platforms demand workflows that run consistently, recover quickly, and support rapid experimentation, yet many teams still rely on brittle, ad-hoc orchestration stitched together with scripts, cron jobs, or legacy schedulers. If you want to build systems that are resilient, observable, and production-ready, this book will show you how.Prefect and Dagster in Action is the practical, end-to-end guide for data engineers, data scientists, ML engineers, and analytics teams who want to orchestrate pipelines the right way. Through hands-on examples, real-world patterns, and production-grade techniques, you'll learn how modern workflow orchestrators keep data reliable, reproducible, and continuously flowing across the entire data stack.You'll compare Prefect and Dagster in meaningful, applied ways, how they structure workflows, enforce data quality, support asset-based development, integrate with dbt and warehouses, manage ML pipelines, and handle observability, lineage, and scale. Whether you're building batch ETL, asset graphs, streaming-style triggers, or machine learning automation, this book shows you exactly how to make it work in production.By the end, you will confidently be able to: Build maintainable ETL/ELT pipelines using Prefect flows, tasks, schedules, and state managementDevelop Dagster jobs, ops, and Software-Defined Assets (SDAs) for asset-first data architectureOrchestrate dbt models, data warehouse ingestion, and machine learning pipelinesApply robust retry logic, idempotency patterns, backfills, sensors, and event-based triggersUse observability, metadata, and lineage tools to monitor pipelines and reduce failuresDesign CI/CD, testing strategies, and IaC provisioning for orchestrators on Kubernetes and cloud platformsChoose the right orchestrator for your organization and execute a practical migration planIf you're ready to replace fragile workflows with an orchestration platform that scales with your data and your team, this book gives you the tools and patterns to make it happen.Build reliable pipelines. Improve team productivity. Ship faster with confidence.Start reading Prefect and Dagster in Action today and transform how your organization moves data. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9798276695822
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Paperback. Zustand: new. Paperback. Are your data pipelines constantly breaking, scaling poorly, or slowing your team down when you need reliability the most? Modern data platforms demand workflows that run consistently, recover quickly, and support rapid experimentation, yet many teams still rely on brittle, ad-hoc orchestration stitched together with scripts, cron jobs, or legacy schedulers. If you want to build systems that are resilient, observable, and production-ready, this book will show you how.Prefect and Dagster in Action is the practical, end-to-end guide for data engineers, data scientists, ML engineers, and analytics teams who want to orchestrate pipelines the right way. Through hands-on examples, real-world patterns, and production-grade techniques, you'll learn how modern workflow orchestrators keep data reliable, reproducible, and continuously flowing across the entire data stack.You'll compare Prefect and Dagster in meaningful, applied ways, how they structure workflows, enforce data quality, support asset-based development, integrate with dbt and warehouses, manage ML pipelines, and handle observability, lineage, and scale. Whether you're building batch ETL, asset graphs, streaming-style triggers, or machine learning automation, this book shows you exactly how to make it work in production.By the end, you will confidently be able to: Build maintainable ETL/ELT pipelines using Prefect flows, tasks, schedules, and state managementDevelop Dagster jobs, ops, and Software-Defined Assets (SDAs) for asset-first data architectureOrchestrate dbt models, data warehouse ingestion, and machine learning pipelinesApply robust retry logic, idempotency patterns, backfills, sensors, and event-based triggersUse observability, metadata, and lineage tools to monitor pipelines and reduce failuresDesign CI/CD, testing strategies, and IaC provisioning for orchestrators on Kubernetes and cloud platformsChoose the right orchestrator for your organization and execute a practical migration planIf you're ready to replace fragile workflows with an orchestration platform that scales with your data and your team, this book gives you the tools and patterns to make it happen.Build reliable pipelines. Improve team productivity. Ship faster with confidence.Start reading Prefect and Dagster in Action today and transform how your organization moves data. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798276695822
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