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Run a Big Data Text Processing Pipeline in Cloud Dataflow

Run a Big Data Text Processing Pipeline in Cloud Dataflow

40 menit 7 Kredit

GSP047

Google Cloud Self-Paced Labs

Overview

Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Because Dataflow is a managed service, it can allocate resources on demand to minimize latency while maintaining high utilization efficiency.

The Dataflow model combines batch and stream processing so developers don't have to make tradeoffs between correctness, cost, and processing time. In this lab, you'll learn how to run a Dataflow pipeline that counts the occurrences of unique words in a text file.

What you'll learn

  • How to create a Maven project with the Cloud Dataflow SDK
  • Run an example pipeline using the Google Cloud Platform Console
  • How to delete the associated Cloud Storage bucket and its contents

Bergabunglah dengan Qwiklabs untuk membaca tentang lab ini selengkapnya... beserta informasi lainnya!

  • Dapatkan akses sementara ke Google Cloud Console.
  • Lebih dari 200 lab mulai dari tingkat pemula hingga lanjutan.
  • Berdurasi singkat, jadi Anda dapat belajar dengan santai.
Bergabung untuk Memulai Lab Ini
Skor

—/100

Create a new Cloud Storage bucket

Jalankan Langkah

/ 50

Run a text processing pipeline on Cloud Dataflow

Jalankan Langkah

/ 50