Google Cloud Data Engineer

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Vishal Bulbule

17:00:29

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1 - Introduction

1 - Introduction to instructor.html

2 - Introduction to Google Cloud Data Engineer certification.mp4

11:45

3 - How to register for GCP certifications.mp4

08:00

4 - How to Create Free trial account in Google Cloud.mp4

01:41

2 - Overview of Compute Services

5 - Compute Services Overview.mp4

08:03

6 - Creating First GCP VM Instance.mp4

10:15

7 - Google App Engine.mp4

13:18

3 - Google Cloud Networking

8 - Google cloud Networking Services.mp4

01:03:29

4 - Storage Services in Google Cloud

9 - Overview of Storage services.mp4

52:06

10 - Google Cloud Storage Introduction.mp4

19:19

11 - Google Cloud Storage features Handson.mp4

19:18

12 - Persistent Disks and snapshots.mp4

35:44

13 - Creating Snapshot Policy.mp4

05:55

14 - Mount GCS Bucket as Filesystem.mp4

07:59

5 - Database services in Google Cloud

15 - Getting Started with Cloud SQL.mp4

15:25

16 - Migrate Onprem MySQL to Google Cloud.mp4

12:42

17 - Cloud Spanner.mp4

17:39

18 - Create Cloud Spanner Instance.mp4

17:39

19 - Create Cloud Spanner Change Stream.mp4

19:16

20 - Cloud BigTable.mp4

05:35

21 - Create BigTable instance.mp4

12:39

6 - BigQuery

22 - Google Cloud BigQuery.mp4

05:33

23 - Create Dataset and Table in BigQuery.mp4

07:47

24 - Partitioning in BigQuery.mp4

09:12

25 - BigQuery Access Control.mp4

08:05

26 - Federated Queries in BigQuery.mp4

12:19

27 - Restore Deleted data in BigQuery.mp4

13:33

28 - Streaming Buffer in BigQuery.mp4

15:02

29 - Gemini AI in BigQuery Former Duet AI.mp4

08:33

7 - Data Analytics Services

30 - Data Analytics Services Overview.mp4

09:50

31 - Cloud PubSub.mp4

05:56

32 - Introduction to Dataflow.mp4

06:22

33 - Create batch Job using Dataflow.mp4

05:00

34 - Load Data from GCS to BigQuery using Dataflow.mp4

15:57

35 - Extract Data from Cloud Spanner to GCS.mp4

16:02

36 - Create Streaming Job using Dataflow.mp4

19:16

37 - Create Spanner change stream using Dataflow streaming Job.mp4

19:16

8 - Data Fusion

38 - Introduction to Cloud Data Fusion.mp4

04:28

39 - Create Data Pipeline using Cloud Data Fusion.mp4

14:36

9 - Cloud Composer

40 - Introduction to Cloud Composer.mp4

08:24

41 - Creating Cloud Composer Environment.mp4

04:36

42 - Cloud Composer Architecture.mp4

11:31

43 - Creating Airflow Dag using Cloud composer.mp4

33:29

44 - Restarting Composer Services.mp4

08:15

10 - Google Cloud AIML Services

45 - Overview of Google Cloud AIML Services.mp4

10:12

46 - Vision API.mp4

08:31

47 - Natural Language Processing API.mp4

12:28

48 - Video Intelligence API.mp4

03:43

49 - Vertex AI Studio Now AI Studio.mp4

09:17

50 - Custom Machine learning model using Vertex AI.mp4

20:11

11 - Google Cloud Data Studio Now Looker Studio

51 - Create Dashboard in Data Studio.mp4

27:39

12 - Data Security

52 - Encrypting persistent Disk.mp4

12:25

53 - Encryption at Cloud Storage Bucket.mp4

25:10

54 - Data loss Prevention API.mp4

06:53

55 - Inspect Sensitive Data Using Data Loss Prevention API.mp4

18:40

13 - Data Engineering Projects

56 - Creating an ETL Data Pipeline with Cloud Data Fusion AirflowPart1.mp4

53:29

56 - Source Code.txt

57 - Creating an ETL Data Pipeline with Cloud Data Fusion Airflow part2.mp4

31:47

58 - Cricket Statistics Data Pipeline in Google Cloud using Airflow.mp4

47:39

58 - Source Code.txt

59 - Automated Data Pipeline for Sales Data.mp4

56:58

59 - Source Code.txt

60 - Building a Sentiment Analysis Data Pipeline from Support Chat using Gemini.mp4

23:41

61 - Automate GCS to BigQuery Dataload.mp4

30:57

Description

From Basics to Mastery in Data Engineering with GCP

What You'll Learn?

Understand core Cloud and data engineering concepts and their applications within Google Cloud.
Master GCP data tools and services including BigQuery, Cloud Storage, Dataflow, Pub/Sub, and more.
Design and implement data pipelines for efficient data ingestion, transformation, and storage.
Implement best practices for data security, governance, and cost management in GCP.
Prepare for GCP Data Engineer certification exams (optional), enhancing career prospects in data engineering.

Who is this for?

Beginners who want a solid foundation in data engineering concepts and hands-on skills on Google Cloud.

Data Analysts and Developers looking to transition into data engineering roles or expand their skill set.

Cloud Engineers and IT Professionals aiming to specialize in data solutions using Google Cloud’s tools and services.

Experienced Data Engineers wanting to deepen their knowledge of GCP’s data services for handling large-scale data systems and advanced analytics.

What You Need to Know?

A strong eagerness to learn – curiosity and motivation are key as we dive into the exciting world of data engineering!

More details

Description
Unlock the power of data engineering with Google Cloud Platform! This course is your comprehensive guide to becoming a proficient data engineer capable of building and managing large-scale data solutions on GCP. Designed for both beginners and experienced professionals, this course covers all essential skills needed to excel in data engineering roles.
What Youâ€™ll Learn
In this course, you'll dive into GCPâ€™s suite of data tools and services, mastering skills in data processing, transformation, storage, and more. Topics include:
Core Data Engineering Concepts: Get familiar with key data engineering principles, terminology, and the GCP ecosystem.
Data Storage and Management: Explore Cloud Storage, BigQuery, and other GCP services to store and manage data efficiently.
Data Pipelines: Learn how to design and implement both batch and real-time data pipelines using GCP services like Dataflow and Pub/Sub.
SQL and Python for Data Engineering: Enhance your querying and scripting skills to handle data processing tasks on GCP.
Security, Governance, and Cost Management: Implement best practices to ensure data security, governance, and cost-effective cloud solutions.
Certification Preparation: Get tips and guidance to prepare for GCP Data Engineer certification exams, making you ready for advanced career opportunities.
Access to full source Code: Iâ€™m providing full source code access for all projects and examples, giving you the resources to practice, explore, and customize further.
Who this course is for:
Beginners who want a solid foundation in data engineering concepts and hands-on skills on Google Cloud.
Data Analysts and Developers looking to transition into data engineering roles or expand their skill set.
Cloud Engineers and IT Professionals aiming to specialize in data solutions using Google Cloudâ€™s tools and services.
Experienced Data Engineers wanting to deepen their knowledge of GCPâ€™s data services for handling large-scale data systems and advanced analytics.

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Google Cloud

Vishal Bulbule

Instructor's Courses

I am a Fully certified Google Cloud Professional Cloud Architect with all Google Cloud certifications. My passion for technology and innovation has led me to become a Multi-certified in Google Cloud and a Champion Innovator, always seeking new ways to leverage cloud technologies to deliver innovative solutions that make a difference.certificationGoogle Cloud Certified Cloud Digital LeaderGoogle Cloud Certified Associate Cloud EngineerGoogle Cloud Certified Professional Cloud ArchitectGoogle Cloud Certified Professional Data EngineerGoogle Cloud Certified Professional Cloud Network EngineerGoogle Cloud Certified Professional Cloud Security EngineerGoogle Cloud Certified Professional Cloud DevOps EngineerGoogle Cloud Certified Professional Workspace AdministratorGoogle Cloud Certified Professional Database EngineerGoogle Cloud Certified Professional Cloud DeveloperGoogle Cloud Certified Professional Machine Learning EngineerMicrosoft Certified: Azure FundamentalsHashiCorp Certiffied Terraform Associate

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