Building Resilient Streaming Systems on Google Cloud Platform

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Google Cloud

3:48:27

14 View

1 - Architecture of Streaming Analytics Pipelines

01 - What Is Streaming.mp4

14:22

02 - Challenge 1 - Variable volumes require ability of ingest to scale and be fault-tolerant.mp4

04:28

03 - Challenge 2 - Latency is to be expected.mp4

05:45

04 - Challenge 3 - Need instant insights.mp4

06:40

05 - Discuss some streaming scenarios.mp4

08:23

06 - Streaming Data Processing - Lab 1 - Publish Streaming Data into PubSub v1.3.mp4

00:10

2 - Ingesting Variable Volumes

07 - What is Pub Sub .mp4

10:48

08 - How it works - Topics and Subsctiptions.mp4

14:34

09 - Lab Overview.mp4

00:34

10 - Lab demo and review.mp4

08:17

3 - Implementing Streaming Pipelines

11 - Dataflow Streaming.mp4

14:47

12 - Challenges in streaming.mp4

14:36

13 - Build a stream processing pipeline for live traffic data.mp4

11:31

14 - Handle late data - watermarks, triggers, accumulation.mp4

14:06

15 - Lab Overview.mp4

00:35

16 - Lab demo and review.mp4

15:00

17 - Streaming Data Processing - Lab 2 - Streaming Data Pipelines v1.3.mp4

00:10

4 - Streaming analytics and dashboards

18 - Streaming Analytics and Dashboard.mp4

13:27

19 - Lab Overview.mp4

00:45

20 - Lab demo and review.mp4

05:34

21 - Streaming Data Processing - Lab 3 - Streaming Analytics and Dashboards v1.3.mp4

00:10

5 - Handling Throughput and Latency Requirements

22 - Throughput and Latency.mp4

10:02

23 - Bigtable - big, fast, autoscaling NoSQL.mp4

04:55

24 - Ingesting into Bitgable.mp4

04:26

25 - Designing for Bigtable.mp4

23:38

26 - Streaming into Bigtable.mp4

01:00

27 - Lab demo and review.mp4

04:40

28 - Performance Considerations.mp4

06:34

29 - Summary of Data Engineering on GCP Specialization.mp4

08:20

30 - Streaming Data Processing - Lab 4 - Streaming Data Pipelines into Bigtable v1.3.mp4

00:10

Description

You'll learn to build streaming data pipelines using Google cloud Pub/Sub and Dataflow to enable real-time decision making. You will also learn how to build dashboards to render tailored output for various stakeholder audiences.

What You'll Learn?

This 1-week, accelerated on-demand course builds upon Google Cloud Platform Big Data and Machine Learning Fundamentals. Through a combination of video lectures, demonstrations, and hands-on labs, you'll learn to build streaming data pipelines using Google cloud Pub/Sub and Dataflow to enable real-time decision making. You will also learn how to build dashboards to render tailored output for various stakeholder audiences.

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Google Cloud

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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.