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Source channel @githubtrending · Post #15006 · Jul 29

#go#cli#event_driven#event_driven_architecture#queues#serverless#serverless_functions#workflow_engine#workflows Inngest lets you write reliable, long-running background functions called durable workflows that automatically handle retries, scheduling, and state management without needing to manage infrastructure like queues or servers. You write functions in your preferred language using their SDKs, run and test them locally with the Inngest Dev Server, then deploy them on your own infrastructure or Inngest’s platform. It supports complex workflows with steps that retry on failure, concurrency control, and event triggers. This saves you time and effort by simplifying event-driven app development, improving reliability, and scaling automatically without extra setup. It also offers tools for monitoring and managing workflows easily. https://github.com/inngest/inngest

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Repositorio data science

@repo_science · Post #3567 · 09/06/2023, 07:13 PM

#python#dataEngineering 📃 Amazon Web Services in Action Description Master essential best practices for deploying and managing applications on Amazon Web Services. This revised bestseller is packed with techniques for building highly available and scalable architectures and automating deployment with Infrastructure as Code. ⚖️1.7 GB 🔗Enlace ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----

Repositorio data science

@repo_science · Post #3495 · 08/03/2023, 01:47 PM

#dataEngineering#IBM 🤖 IBM Data Warehouse Engineer Professional Certificate Description This Professional Certificate is intended to help you develop the job-ready skills and portfolio for an entry-level Business Intelligence (BI) or Data Warehousing Engineering position. Throughout the online courses in this program, you will immerse yourself in the in-demand role of a Data Warehouse Engineer and acquire the essential skills you need to work with a range of tools and databases to design, deploy, operationalize and manage Enterprise Data Warehouses (EDW). 🔗ETLanddatapipelinesshellairflowkafka 🔗Gettingstartedwithdatawarehousingandbianalytics 🔗Handsonintroductiontolinuxcommandsandshellscripting 🔗Introductiontodataengineering 🔗Introductiontorelationaldatabases 🔗Relationaldatabaseadministration 🔗SQLdatascience ----- Main channel:@repo_science Coupons: @freecoupons_reposcience -----

Repositorio data science

@repo_science · Post #3084 · 04/21/2023, 02:49 PM

#apacheSpark#ETL#dataEngineering#Python 🎚 Apache Spark 3 for Data Engineering and Analytics with Python [Video] 🗣David Mngadi 🌐 Inglés ⚖️2.1GB 🔗Link ----- Canal principal:@repo_science Cupones: @freecoupons_reposcience -----