Building Resilient Streaming Analytics Systems on Google Cloud
Building Resilient Streaming Analytics Systems on Google Cloud
These skills were generated by A.I. Do you agree this course teaches these skills?
Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud. Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Dataflow, and how to store processed records to BigQuery or Cloud Bigtable for analysis. Learners get hands-on experience building streaming data pipeline components on Google Cloud by using QwikLabs.
과정 정보
목표
- Interpret use-cases for real-time streaming analytics.
- Manage data events using the Pub/Sub asynchronous messaging service.
- Write streaming pipelines and run transformations where necessary.
- Interoperate Dataflow, BigQuery and Pub/Sub for real-time streaming and analysis
기본 요건
Experience analyzing and visualizing big data, implementing cloud-based big data solutions, and transforming/processing datasets.
Google Cloud Big Data and Machine Learning Fundamentals (or equivalent experience)
Some knowledge of Java
대상
This class is intended for data analysts, data scientists and programmers who want to build for out-of-the-ordinary scenarios such as high availability, resiliency, high-throughput, real-time streaming analytics on leveraging Google Cloud.
사용할 수 있는 언어
English, 日本語, español (Latinoamérica), français, português (Brasil)
과정을 완료한 후에는 어떻게 해야 하나요?
과정을 완료한 후 학습 과정 에서 다른 콘텐츠를 살펴보거나 학습 카탈로그 를 둘러보면 됩니다.
어떤 배지를 획득할 수 있나요?
과정을 완료하면 이수 배지가 주어집니다. 배지는 프로필에 표시되며 사회 연결망에서 공유할 수 있습니다.
Google의 주문형 파트너에서 제공하는 과정에 관심이 있으신가요?
Coursera 및 Pluralsight 에서 Google Cloud 콘텐츠를 살펴보세요.
강사 주도 강좌를 선호하시나요?