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Google Cloud Data Engineer by TechTrapture - OneDDL - 11-22-2024
![[Image: 7492634678f5f5537a41f7d855f053c7.jpeg]](https://i124.fastpic.org/big/2024/1121/c7/7492634678f5f5537a41f7d855f053c7.jpeg)
Free Download Google Cloud Data Engineer by TechTrapture
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 12.40 GB | Duration: 17h 0m
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.
Requirements
A strong eagerness to learn - curiosity and motivation are key as we dive into the exciting world of data engineering!
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 You'll LearnIn this course, you'll dive into GCP'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: I'm providing full source code access for all projects and examples, giving you the resources to practice, explore, and customize further.
Overview
Section 1: Introduction
Lecture 1 Introduction to instructor
Lecture 2 Introduction to Google Cloud Data Engineer certification
Lecture 3 How to register for GCP certifications
Lecture 4 How to Create Free trial account in Google Cloud
Section 2: Overview of Compute Services
Lecture 5 Compute Services Overview
Lecture 6 Creating First GCP VM Instance
Lecture 7 Google App Engine
Section 3: Google Cloud Networking
Lecture 8 Google cloud Networking Services
Section 4: Storage Services in Google Cloud
Lecture 9 Overview of Storage services
Lecture 10 Google Cloud Storage Introduction
Lecture 11 Google Cloud Storage features -[Hands-on]
Lecture 12 Persistent Disks and snapshots
Lecture 13 Creating Snapshot Policy
Lecture 14 Mount GCS Bucket as Filesystem
Section 5: Database services in Google Cloud
Lecture 15 Getting Started with Cloud SQL
Lecture 16 Migrate On-prem MySQL to Google Cloud
Lecture 17 Cloud Spanner
Lecture 18 Create Cloud Spanner Instance
Lecture 19 Create Cloud Spanner Change Stream
Lecture 20 Cloud BigTable
Lecture 21 Create BigTable instance
Section 6: BigQuery
Lecture 22 Google Cloud BigQuery
Lecture 23 Create Dataset and Table in BigQuery
Lecture 24 Partitioning in BigQuery
Lecture 25 BigQuery Access Control
Lecture 26 Federated Queries in BigQuery
Lecture 27 Restore Deleted data in BigQuery
Lecture 28 Streaming Buffer in BigQuery
Lecture 29 Gemini AI in BigQuery ( Former Duet AI)
Section 7: Data Analytics Services
Lecture 30 Data Analytics Services Overview
Lecture 31 Cloud Pub/Sub
Lecture 32 Introduction to Dataflow
Lecture 33 Create batch Job using Dataflow
Lecture 34 Load Data from GCS to BigQuery using Dataflow
Lecture 35 Extract Data from Cloud Spanner to GCS
Lecture 36 Create Streaming Job using Dataflow
Lecture 37 Create Spanner change stream using Dataflow streaming Job
Section 8: Data Fusion
Lecture 38 Introduction to Cloud Data Fusion
Lecture 39 Create Data Pipeline using Cloud Data Fusion
Section 9: Cloud Composer
Lecture 40 Introduction to Cloud Composer
Lecture 41 Creating Cloud Composer Environment
Lecture 42 Cloud Composer Architecture
Lecture 43 Creating Airflow Dag using Cloud composer
Lecture 44 Restarting Composer Services
Section 10: Google Cloud AI/ML Services
Lecture 45 Overview of Google Cloud AI/ML Services
Lecture 46 Vision API
Lecture 47 Natural Language Processing API
Lecture 48 Video Intelligence API
Lecture 49 Vertex AI Studio ( Now AI Studio)
Lecture 50 Custom Machine learning model using Vertex AI
Section 11: Google Cloud Data Studio (Now Looker Studio)
Lecture 51 Create Dashboard in Data Studio
Section 12: Data Security
Lecture 52 Encrypting persistent Disk
Lecture 53 Encryption at Cloud Storage Bucket
Lecture 54 Data loss Prevention API
Lecture 55 Inspect Sensitive Data Using Data Loss Prevention API
Section 13: Data Engineering Projects
Lecture 56 Creating an ETL Data Pipeline with Cloud Data Fusion & Airflow-Part-1
Lecture 57 Creating an ETL Data Pipeline with Cloud Data Fusion & Airflow - part-2
Lecture 58 Cricket Statistics Data Pipeline in Google Cloud using Airflow
Lecture 59 Automated Data Pipeline for Sales Data
Lecture 60 Building a Sentiment Analysis Data Pipeline from Support Chat using Gemini
Lecture 61 Automate GCS to BigQuery Dataload
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.
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