Preparing for the Google Cloud Professional Data Engineer Exam

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0. Welcome to Preparing for the Professional Data Engineer Exam

0. Introduction.mp4

05:24

1. Understanding the Professional Data Engineer certification.mp4

07:56

2. Information about the latest Exam Guide.mp4

00:10

3. Getting Started with Google Cloud Platform and Qwiklabs.mp4

03:48

4. Exam Tips 1.mp4

00:10

5. Quiz- M1 Assessment.mp4

00:10

6. Quiz- M1 Assessment (with answers).mp4

00:10

7. Exam Tips 2.mp4

00:10

1. Designing Data Processing Systems

0. Exam Tips 3.mp4

00:10

1. Designing data processing systems.mp4

10:18

2. Designing flexible data representations.mp4

10:51

3. Design data pipelines.mp4

06:05

4. Cloud Dataflow pipelines.mp4

02:55

5. BigQuery and Cloud Dataflow Solutions.mp4

03:04

6. Design data processing infrastructure.mp4

01:38

7. Cloud Pub-Sub Solutions.mp4

01:38

8. Designing Data Processing Systems.mp4

00:10

9. Practice Exam Questions 1.mp4

02:28

10. Data representations, pipelines, and processing infrastructure.mp4

00:55

2. Building and Operationalizing Data Processing Systems

0. Building data processing systems.mp4

02:15

1. Cloud Storage, Cloud SQL, Cloud Bigtable.mp4

03:03

2. Building and operationalizing pipelines.mp4

02:05

3. Building and operationalizing processing infrastructure.mp4

01:07

4. Practice Exam Questions 2.mp4

03:23

5. Building and operationalizing pipelines and processing infrastructure.mp4

01:04

6. Building and Operationalizing Data Processing Systems.mp4

00:10

7. Case Study 1.mp4

03:44

8. Case Study 1.mp4

00:10

9. Challenge Lab 1.mp4

00:20

10. PDE Prep- BigQuery Essentials.mp4

00:10

11. Exam Tips 4.mp4

00:10

12. Designing and Building Data Processing Systems Quiz.mp4

00:10

13. Designing and Building Data Processing Systems Quiz (with answers).mp4

00:10

3. Operationalizing Machine Learning Models

0. Analyzing and Modeling.mp4

01:56

1. Deploying an ML pipeline.mp4

02:56

2. Machine Learning.mp4

03:43

3. ML and Unstructured Data.mp4

04:45

4. Training and Validating.mp4

02:39

5. Practice Exam Questions 3.mp4

02:45

6. Machine Learning and Analysis.mp4

00:42

7. Operationalizing Machine Learning Models.mp4

00:10

8. Case Study 2.mp4

03:45

9. Case Study 2.mp4

00:10

10. Modeling business processes for analysis and optimization.mp4

03:25

11. Feature Engineering and performance.mp4

02:08

12. Schema and performance.mp4

02:22

13. Pipeline and performance.mp4

02:00

14. Dividing work.mp4

01:45

15. Bigtable performance.mp4

04:20

16. Price estimation.mp4

00:44

17. Business requirements and optimization.mp4

01:01

18. Case Study 3.mp4

03:07

19. Case Study 3.mp4

00:10

20. Challenge Lab 2.mp4

00:24

21. PDE Prep - Cloud Dataproc Cluster Operations and Maintenance.mp4

00:10

22. Exam Tips 5.mp4

00:10

23. Operationalizing Machine Learning Models Quiz.mp4

00:10

24. Operationalizing Machine Learning Models Quiz (with answers).mp4

00:10

4. Reliability, Policy and Security to ensure solution quality

0. Reliability, Policy, and Security.mp4

04:26

1. Practice Exam Questions 4.mp4

01:48

2. Data visualization and reporting tools.mp4

01:33

3. Designing for security and compliance.mp4

04:29

4. Ensuring Solution Quality.mp4

00:10

5. Practice Exam Questions 5.mp4

01:52

6. Secure data infrastructure and legal compliance.mp4

02:16

7. Exam Tips 6.mp4

00:10

8. Preparing for Reliability, Policy, and Security Quiz.mp4

00:10

9. Preparing for Reliability, Policy, and Security Quiz (with answers).mp4

00:10

5. Resources and next steps

0. Resources and next steps.mp4

02:07

1. Practice Exam Quiz.mp4

00:14

2. Practice Exam Quiz.mp4

00:10

3. Practice Exam Quiz (with answers).mp4

00:10

4. Resources.mp4

03:02

5. Exam Tips 7.mp4

00:10

6. Course Summary Quiz - Prep for the Exam.mp4

00:10

7. Course Summary Quiz - Prep for the Exam (with answers).mp4

00:10

Description

This course helps prospective candidates structure their preparation for the Professional Data Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications. Through lectures, quizzes, and discussions,candidates will familiarize themselves with the domain covered by the examination, so as to help them devise a preparation strategy. Rehearses useful skills including exam question reasoning and case comprehension. Tips. Review of topics from the Data Engineering curriculum.

What You'll Learn?

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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.