logo-mooc
search-iconsearch-icon
menu-whitemenu-blue
GRATIS
Inicio / Buscador / Ciencia de Datos / Big Data
Harvard vía Coursera
GRATIS

Serverless Data Processing with Dataflow: Foundations

  • money

    Cursos gratis (Auditar)

    question-mark
  • earth

    Inglés

  • folder

    Siempre Abierto

  • certificate

    Guía de Registro en Coursera

    arrow
VER CURSO arrow
Acerca de este curso

  • Introduction
    • This module covers the course outline and does a quick refresh on the Apache Beam programming model and Google’s Dataflow managed service.
  • Beam Portability
    • In this module we are going to learn about four sections, Beam Portablity, Runner v2, Container Environments, and Cross-Language Transforms.
  • Separating Compute and Storage with Dataflow
    • In this module we discuss how to separate compute and storage with Dataflow. This module contains four sections Dataflow, Dataflow Shuffle Service, Dataflow Streaming Engine, Flexible Resource Scheduling.
  • IAM, Quotas, and Permissions
    • In this module, we talk about the different IAM roles, quotas, and permissions required to run Dataflow
  • Security
    • In this module, we will look at how to implement the right security model for your use case on Dataflow.
  • Summary
    • In this course, we started with the refresher of what Apache Beam is, and its relationship with Dataflow.