Building Resilient Streaming Analytics Systems on Google Cloud

BY
Google via Coursera

Lavel

Intermediate

Mode

Online

Duration

2 Hours

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course and certificate fees

Building Resilient Streaming Analytics Systems on Google Cloud Fee Structure: 

Description

Fee in INR

1 month

Rs. 4,091

3 months 

Rs. 8,182

6 months 

Rs. 12,274

certificate availability

Yes

certificate providing authority

Coursera

The syllabus

Module 1: Introduction

Video
  • Course Introduction

Module 2: Introduction to Processing Streaming Data

Video
  • Processing Streaming Data
Practice Exercise
  • Introduction to Processing Streaming Data

Module 3: Serverless Messaging with Pub/Sub

Videos
  • Module Introduction
  • Introduction to Pub/Sub
  • Pub/Sub Push versus Pull
  • Publishing with Pub/Sub code
  • Summary
  • Lab Intro: Publish Streaming Data into Pub/Sub
  • Getting Started with Google Cloud Platform and Qwiklabs
Practice Exercise
  • Serverless Messaging with Pub/Sub

Module 4: Dataflow Streaming Features

Videos
  • Module Introduction
  • Streaming data challenges
  • Dataflow windowing
  • Lab Intro: Streaming Data Pipelines
Practice Exercise
  • Dataflow Streaming Features

Module 5: High-Throughput BigQuery and Bigtable Streaming Features

Videos
  • Module Introduction
  • Streaming into BigQuery and visualizing results
  • Lab intro: Streaming Data Processing: Streaming Analytics and Dashboards
  • High-throughput streaming with Cloud Bigtable
  • Optimizing Cloud Bigtable Performance
  • Lab intro: Streaming Data Processing: Streaming Data Pipelines into Bigtable
Practice Exercise
  • Streaming Analytics and Dashboards
  • High-Throughput Streaming with Cloud Bigtable

Module 6: Advanced BigQuery Functionality and Performance

Videos
  • Module Introduction
  • Analytic window functions
  • GIS functions
  • Demo: GIS Functions and Mapping with BigQuery
  • Performance considerations
  • Lab Intro: Optimizing your BigQuery Queries for Performance
  • Cost considerations
  • Lab Intro: Creating Date-Partitioned Tables in BigQuery
Practice Exercise
  • BigQuery advanced functionality and performance considerations

Module 7: Summary

Video
  • Course Summary

Articles

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