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Apache Airflow Best Practices · LearnSpace
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Apache Airflow Best Practices

Курс от Packt
Средний≈ 12.6 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Apache Airflow Best Practices equips data professionals with the skills to master Airflow, from foundational concepts to advanced deployment strategies. This course is essential for those wanting to build scalable data pipelines, optimize workflows, and leverage Airflow in cloud environments. Through practical demonstrations and real-world examples, the course will guide you in creating efficient, optimized workflows, enhancing your data engineering capabilities. You'll gain hands-on experience in managing complex workflows and automating data tasks. What sets this course apart is its unique combination of theoretical knowledge and hands-on exercises, ensuring you can apply learned concepts in real-world settings, giving you the confidence to tackle real challenges. This course is ideal for data engineers, developers, and data scientists looking to improve their workflow orchestration skills. No prior Airflow experience is required, though basic knowledge of Python and DevOps concepts is recommended.

Навыки, которые вы освоите

Apache AirflowConfiguration ManagementMLOps (Machine Learning Operations)Multi-Tenant Cloud EnvironmentsScalabilityDevOpsCI/CDDevops ToolsAI WorkflowsCloud DeploymentPerformance TuningKey ManagementPython ProgrammingData PipelinesWorkflow ManagementBusiness Workflow Analysis

Программа курса

13 модулей · 68 учебных материалов

01Getting Started with Airflow 2.05 материалов

Lesson 1

Course OverviewВидеоGetting Started with Airflow 2.0 - Overview VideoВидеоIntroductionЧтениеCore Concepts of AirflowЧтение

Учитесь у экспертов

Packt - Course Instructors

Преподаватель курса

Apache Airflow Best Practices
В каталоге вашей программы

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Новые знания — в удобное для вас время.

Начать на Coursera

Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 12.6 ч

13 модулей

Язык: Английский

Часть программы вашего университета
Mastering Airflow 2.0 FundamentalsЗадание
02Core Airflow Concepts7 материалов

Lesson 1

Core Airflow Concepts - Overview VideoВидеоIntroductionЧтениеDAGsЧтениеThe First Task Defining the DAG and ExtractЧтениеPractice: Design an Airflow DAG StructureDIALOGUETask GroupsЧтениеFundamentals of Airflow Workflow ManagementЗадание
03Components of Airflow7 материалов

Lesson 1

Components of Airflow - Overview VideoВидеоIntroductionЧтениеWithin the Config FileЧтениеPractice: Analyze Airflow Executor Trade-offsDIALOGUEKubernetes Executor Remote ExecutorЧтениеKubernetes Local Executor (Hybrid Executor)ЧтениеAirflow Executor FundamentalsЗадание
04Basics of Airflow and DAG Authoring7 материалов

Lesson 1

Basics of Airflow and DAG Authoring - Overview VideoВидеоIntroductionЧтениеThe NASA APIЧтениеPractice: Design an Airflow DAGDIALOGUEAutomating Your Code with a DAGЧтениеDefining Default ArgumentsЧтениеAirflow Fundamentals and Workflow DesignЗадание
05Connecting to External Sources8 материалов

Lesson 1

Connecting to External Sources - Overview VideoВидеоIntroductionЧтениеA Quick Note About Secrets Being Added Through the Airflow UIЧтениеPractice: Analyze Secrets Management Trade-offsDIALOGUESecrets Management ServiceЧтениеBuilding an Email or Slack AlertЧтениеMastering External Connections in AirflowЗаданиеDiscussion: Designing Effective Airflow AlertsОбсуждение
06Extending Functionality with UI Plugins3 материалов

Lesson 1

Extending Functionality with UI Plugins - Overview VideoВидеоExtending Functionality with UI Plugins - The ReadingЧтениеAirflow Plugin Development FundamentalsЗадание
07Writing and Distributing Custom Providers5 материалов

Lesson 1

Writing and Distributing Custom Providers - Overview VideoВидеоIntroductionЧтениеAuthoring Your ProviderЧтениеAuthoring Our SensorЧтениеCustom Airflow Provider DevelopmentЗадание
08Orchestrating a Machine Learning Workflow5 материалов

Lesson 1

Orchestrating a Machine Learning Workflow - Overview VideoВидеоIntroductionЧтениеDeep Learning Model TrainingЧтениеOrchestrating Machine Learning WorkflowsЗаданиеDiscussion: Designing a Reliable Machine Learning Workflow with AirflowОбсуждение
09Using Airflow as a Driving Service4 материалов

Lesson 1

Using Airflow as a Driving Service - Overview VideoВидеоIntroductionЧтениеDAG DefinitionЧтениеAirflow Workflow Management and AbstractionЗадание
10Airflow Ops Development and Deployment7 материалов

Lesson 1

Airflow Ops Development and Deployment - Overview VideoВидеоIntroductionЧтениеMulti-repoЧтениеPractice: Choose Your Airflow Deployment StrategyDIALOGUEService ProvidersЧтениеTestingЧтениеAirflow Deployment and Management FundamentalsЗадание
11Airflow Ops Best Practices Observation and Monitoring4 материалов

Lesson 1

Airflow Ops Best Practices Observation and Monitoring - Overview VideoВидеоIntroductionЧтениеExecutors WorkersЧтениеAirflow Monitoring and Observation PracticesЗадание
12Multi-Tenancy in Airflow3 материалов

Lesson 1

Multi-Tenancy in Airflow - Overview VideoВидеоMulti-Tenancy in Airflow - The ReadingЧтениеMulti-Tenancy and Isolation in AirflowЗадание
13Migrating Airflow3 материалов

Lesson 1

Migrating Airflow - Overview VideoВидеоMigrating Airflow - The ReadingЧтениеMigrating Airflow Workflows and EnvironmentsЗадание