GCP Data Engineer Pro 2024: Master BigQuery & Pipelines
Focused View
17:00:29
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
5 - Compute Services Overview.mp4
08:03
6 - Creating First GCP VM Instance.mp4
10:15
7 - Google App Engine.mp4
13:18
8 - Google cloud Networking Services.mp4
01:03:29
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
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
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
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
38 - Introduction to Cloud Data Fusion.mp4
04:28
39 - Create Data Pipeline using Cloud Data Fusion.mp4
14:36
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
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
51 - Create Dashboard in Data Studio.mp4
27:39
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
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
More details
Course Overview
Become a certified GCP Data Engineer with this comprehensive course covering data pipelines, BigQuery, AI integration, and hands-on projects using Google Cloud's data services.
What You'll Learn
- Design and implement scalable data pipelines with Dataflow and Data Fusion
- Master BigQuery analytics, partitioning, and federated queries
- Integrate AI/ML with Vertex AI and Gemini for advanced data solutions
Who This Is For
- Aspiring data engineers building GCP expertise
- Data analysts transitioning to engineering roles
- Cloud professionals specializing in data solutions
Key Benefits
- Hands-on projects including real-world ETL pipelines
- Covers both fundamental and advanced GCP data services
- Prepares for Google Cloud Data Engineer certification
Curriculum Highlights
- Core GCP Services: Storage, Databases & BigQuery
- Data Pipeline Engineering with Dataflow/Data Fusion
- AI-Enhanced Data Solutions & Security Best Practices
Focused display
Category
- language english
- Training sessions 60
- duration 17:00:29
- Release Date 2025/04/26
