Google Cloud Data Engineer

سرفصل های دوره

From Basics to Mastery in Data Engineering with GCP

1 - Introduction

1 - Introduction to instructor.html

2 - Introduction to Google Cloud Data Engineer certification

3 - How to register for GCP certifications

4 - How to Create Free trial account in Google Cloud

2 - Overview of Compute Services

5 - Compute Services Overview

6 - Creating First GCP VM Instance

7 - Google App Engine

3 - Google Cloud Networking

8 - Google cloud Networking Services

4 - Storage Services in Google Cloud

9 - Overview of Storage services

10 - Google Cloud Storage Introduction

11 - Google Cloud Storage features Handson

12 - Persistent Disks and snapshots

13 - Creating Snapshot Policy

14 - Mount GCS Bucket as Filesystem

5 - Database services in Google Cloud

15 - Getting Started with Cloud SQL

16 - Migrate Onprem MySQL to Google Cloud

17 - Cloud Spanner

18 - Create Cloud Spanner Instance

19 - Create Cloud Spanner Change Stream

20 - Cloud BigTable

21 - Create BigTable instance

6 - BigQuery

22 - Google Cloud BigQuery

23 - Create Dataset and Table in BigQuery

24 - Partitioning in BigQuery

25 - BigQuery Access Control

26 - Federated Queries in BigQuery

27 - Restore Deleted data in BigQuery

28 - Streaming Buffer in BigQuery

29 - Gemini AI in BigQuery Former Duet AI

7 - Data Analytics Services

30 - Data Analytics Services Overview

31 - Cloud PubSub

32 - Introduction to Dataflow

33 - Create batch Job using Dataflow

34 - Load Data from GCS to BigQuery using Dataflow

35 - Extract Data from Cloud Spanner to GCS

36 - Create Streaming Job using Dataflow

37 - Create Spanner change stream using Dataflow streaming Job

8 - Data Fusion

38 - Introduction to Cloud Data Fusion

39 - Create Data Pipeline using Cloud Data Fusion

9 - Cloud Composer

40 - Introduction to Cloud Composer

41 - Creating Cloud Composer Environment

42 - Cloud Composer Architecture

43 - Creating Airflow Dag using Cloud composer

44 - Restarting Composer Services

10 - Google Cloud AIML Services

45 - Overview of Google Cloud AIML Services

46 - Vision API

47 - Natural Language Processing API

48 - Video Intelligence API

49 - Vertex AI Studio Now AI Studio

50 - Custom Machine learning model using Vertex AI

11 - Google Cloud Data Studio Now Looker Studio

51 - Create Dashboard in Data Studio

12 - Data Security

52 - Encrypting persistent Disk

53 - Encryption at Cloud Storage Bucket

54 - Data loss Prevention API

55 - Inspect Sensitive Data Using Data Loss Prevention API

13 - Data Engineering Projects

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

56 - Source Code.txt

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

58 - Cricket Statistics Data Pipeline in Google Cloud using Airflow

58 - Source Code.txt

59 - Automated Data Pipeline for Sales Data

59 - Source Code.txt

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

61 - Automate GCS to BigQuery Dataload

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تولید کننده: Udemy