#GCP_Data_Engineer
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A Professional Data Engineer enables data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.
Topics Cover:
Data Engineering Concepts
Overview
Types of Data
Batch vs Streaming Processing of Data
GCP Fundamental
GCP Regions and Zones
How to create free tier account
GCP Services
Platform Comparison
GCP vs AWS
GCP vs Azure
Pricing
Overview
Price List
Price Calculator
GCP Basic Services
IAM Basics
Roles and Permission
Assign roles to identity
IAM - Service Account
Provisioning compute engine
Deploy Application on App Engine
Deploy Application on GKE
Cloud Run
Cloud Functions
GCP Storage Product
Google Cloud Storage
Data Transfer Services
Cloud Block Storage
Database concepts
GCP Database Product
Google Cloud SQL
Semi structure data storage - No SQL
Cloud Filestore
Cloud Datastore
Cloud Memorystore
Cloud Bigtable
Data Processing and Exploration product
Google Bigquery
Google cloud pub/sub
Cloud Dataflow
Cloud Dataproc
Cloud Data Fusion
Cloud Composer
DLP -Data loss prevention
Data catalog
Data Analysis and ML
ML Basics
Google Dataprep
ML APIs
Auto ML
Custom ML
Bigquery ML
Google Datastudio
Sample Test Walkthrough
Two Tests
Prerequisites:
If you’re already a data scientist, a data engineer, data analyst, machine learning engineer or looking for a career change into the world of data, the Google Cloud Professional Data Engineer Certification is for you.
Being able to use cloud technologies is becoming a requirement for any kind of data focused role.
Learners should be familiar with the fundamentals of cloud computing and relevant practical experience
Who can Attend:
Google recommends 3+ years of industry experience and 1+ years designing and managing solutions using GCP for professional level certifications.
Data professionals
Number of Hours: 40hrs
Certification: GCP Professional Cloud Collaboration Engineer (GCP PDE )
Key Features:
One to One Training
Online Training
Fastrack & Normal Track
Resume Modification
Mock Interviews
Video Tutorials
Training Materials
Real Time Projects
Virtual Live Experience
Preparing for Certification
Life time Access
24/7 Support Team
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