Building Resilient Streaming Analytics Systems on GCP

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Google Cloud

3:11:46

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01 - Introduction

01 - Course Introduction.mp4

01:30

02 - Getting started with GCP and Qwiklabs.mp4

03:48

02 - Introduction to Processing Streaming Data

03 - Processing Streaming Data.mp4

07:27

03 - Serverless Messaging with Cloud Pub Sub

04 - Introduction to Cloud Pub Sub.mp4

09:07

05 - Cloud Pub Sub Push vs Pull.mp4

05:02

06 - Publishing with Pub Sub code.mp4

04:09

07 - Summary.mp4

01:45

08 - Lab Intro -Publish Streaming Data into Pub Sub.mp4

00:18

09 - Streaming Data Processing - Publish Streaming Data into PubSub.mp4

00:10

10 - Lab Solution -Publish Streaming Data into Pub Sub.mp4

10:30

04 - Cloud Dataflow Streaming Features

11 - Streaming Data Challenges.mp4

05:01

12 - Cloud Dataflow Windowing.mp4

10:13

13 - Lab Intro -Streaming Data Pipelines.mp4

00:21

14 - Streaming Data Processing - Streaming Data Pipelines.mp4

00:10

15 - Lab Solution -Streaming Data Pipelines.mp4

25:14

05 - High-Throughput BigQuery and Bigtable Streaming Features

16 - Streaming into BigQuery and Visualizing Results.mp4

05:54

17 - Lab Intro -Streaming Analytics and Dashboards.mp4

00:09

18 - Streaming Data Processing - Streaming Analytics and Dashboards.mp4

00:10

19 - Lab Solution -Streaming Analytics and Dashboards.mp4

14:54

20 - High-Throughput Streaming with Cloud Bigtable.mp4

16:11

21 - Optimizing Cloud Bigtable Performance.mp4

06:51

22 - Lab Intro -Streaming Data Pipelines into Bigtable.mp4

00:16

23 - Streaming Data Processing - Streaming Data Pipelines into Bigtable.mp4

00:10

24 - Lab Solution -Streaming Data Pipelines into Bigtable.mp4

12:57

06 - Advanced BigQuery Functionality and Performance

25 - GIS Functions.mp4

10:40

26 - Demo -GIS Functions and Mapping with BigQuery.mp4

16:42

27 - WITH Clauses vs Permanent Tables.mp4

02:43

28 - Analytical window functions.mp4

14:23

29 - Lab Intro -Optimizing your BigQuery Queries for Performance.mp4

00:22

30 - Optimizing your BigQuery Queries for Performance.mp4

00:10

31 - Performance Considerations.mp4

02:47

32 - Lab Intro -Creating Date-Partitioned Tables in BigQuery.mp4

00:14

33 - Partitioned Tables in Google BigQuery.mp4

00:10

07 - Summary

34 - Course Summary.mp4

01:18

Description

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 Platform. Cloud Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Cloud Dataflow, and how to store processed records to BigQuery or Cloud Bigtable for analysis. Learners will get hands-on experience building streaming data pipeline components on Google Cloud Platform using QwikLabs.

What You'll Learn?

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Google Cloud can help solve your toughest problems and grow your business. With Google Cloud, their infrastructure is your infrastructure. Their tools are your tools. And their innovations are your innovations.

Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.