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Building Resilient Streaming Analytics Systems on Google Cloud

Offered By: Pluralsight

Tags

Big Data Courses Google Cloud Platform (GCP) Courses BigQuery Courses Dataflow Courses Data Engineering Courses Real-Time Data Processing Courses Data Pipelines Courses Pub/Sub Courses

Course Description

Overview

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Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations.

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 Bigtable for analysis. Learners get hands-on experience building streaming data pipeline components on Google Cloud by using QwikLabs.

Syllabus

  • Introduction 1min
  • Introduction to Processing Streaming Data 6mins
  • Introduction 1min
  • Introduction 1min
  • Serverless Messaging with Pub/Sub 25mins
  • Introduction to Processing Streaming Data 6mins
  • Introduction to Processing Streaming Data 6mins
  • Dataflow Streaming Features 11mins
  • Serverless Messaging with Pub/Sub 25mins
  • Serverless Messaging with Pub/Sub 23mins
  • High-Throughput BigQuery and Bigtable Streaming Features 27mins
  • Dataflow Streaming Features 11mins
  • Dataflow Streaming Features 11mins
  • Advanced BigQuery Functionality and Performance 42mins
  • High-Throughput BigQuery and Bigtable Streaming Features 27mins
  • High-Throughput BigQuery and Bigtable Streaming Features 27mins
  • Course Summary 1min
  • Advanced BigQuery Functionality and Performance 33mins
  • Advanced BigQuery Functionality and Performance 33mins
  • Course Resources 0mins
  • Course Summary 1min
  • Course Summary 1min
  • Course Resources 0mins
  • Course Resources 0mins

Taught by

Google Cloud

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