09
Serverless Data Processing with Dataflow: Operations
09
Serverless Data Processing with Dataflow: Operations
These skills were generated by A.I. Do you agree this course teaches these skills?
In the last installment of the Dataflow course series, we will introduce the components of the Dataflow operational model. We will examine tools and techniques for troubleshooting and optimizing pipeline performance. We will then review testing, deployment, and reliability best practices for Dataflow pipelines. We will conclude with a review of Templates, which makes it easy to scale Dataflow pipelines to organizations with hundreds of users. These lessons will help ensure that your data platform is stable and resilient to unanticipated circumstances.
Info Kursus
Tujuan
- Perform monitoring, troubleshooting, testing and CI/CD on Dataflow pipelines.
- Deploy Dataflow pipelines with reliability in mind to maximize stability for your data processing platform
Prasyarat
Serverless Data Processing with Dataflow: Develop Pipelines
Audiens
Data engineers, data analysts and data scientists aspiring to develop Data Engineering skills.
Bahasa yang tersedia
English, español (Latinoamérica), português (Brasil), dan 日本語
Apa yang harus saya lakukan jika sudah menyelesaikan kursus ini?
Setelah menyelesaikan kursus ini, Anda dapat menjelajahi konten tambahan di jalur pembelajaran Anda atau mengakses katalog pembelajaran.
Badge apa yang bisa saya dapatkan?
Setelah menyelesaikan kursus, Anda akan mendapatkan badge kelulusan. Badge dapat dilihat di profil dan dibagikan di jaringan sosial Anda.
Tertarik mengikuti kursus ini dengan salah satu partner on-demand kami?
Jelajahi konten Google Cloud di Coursera dan Pluralsight.
Lebih suka belajar dengan instruktur?