This four-day instructor-led class provides participants with a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demonstrations, and practical labs, you will learn to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning solutions. The course covers various types of data, including structured, unstructured, and streaming data.

Key Features:

• Session by Certified Instructor
• Advanced hands-on labs
• Official training content
• Industry-recognized certification
• Interactive sessions

Course Modules

Module 1: Google Cloud Fundamentals: Core Infrastructure

Theory

• Introducing Google Cloud

• Resources and Access in the Cloud

• Virtual Machines and Networks in the Cloud

• Storage in the Cloud

• Containers in the Cloud

• Applications in the Cloud

• Developing and Deploying in the Cloud

• Logging and Monitoring in the Cloud

Hands-On

• Cloud Storage: Qwik Start – Cloud Console

• Compute Engine: Qwik Start – Windows

• Cloud IAM: Qwik Start

• Cloud Monitoring: Qwik Start

Module 2: Enterprise Database Migration

Theory

• Migrating Enterprise Databases to the Cloud

• Google Cloud Data Migration Solutions

• Google Implementation Methodology

• Migration Strategies

• Networking for Secure Database Connectivity

• Migrating SQL Server Databases to Google Cloud

• Migrating Oracle Databases to Google Cloud

• Testing and Monitoring SQL Server Databases in Google Cloud

• Google Cloud Data Migration Services

• Making the Business Case for Moving to Google Cloud

Hands-On

• Cloud SQL for MySQL: Qwik Start

• Migrating to Cloud SQL from Amazon RDS for MySQL Using Database Migration Service

• Migrating On-premises MySQL Using a Continuous Database Migration Service Job

• Migrating MySQL User Data When Running Database Migration Service Jobs

• Connect an App to a Cloud SQL for PostgreSQL Instance

• Securing a Cloud SQL for PostgreSQL Instance

• Configure Replication and Enable Point-in-Time-Recovery for Cloud SQL for PostgreSQL

• Cloud Spanner – Database Fundamentals

• Cloud Spanner – Loading Data and Performing Backups

• Cloud Spanner – Defining Schemas and Understanding Query Plans

• Deploy a Modern Web App connected to a Cloud Spanner Instance

• Designing and Querying Bigtable Schemas

• Creating and Populating a Bigtable Instance

• Streaming Data to Bigtable

• Monitoring and Managing Bigtable Health and Performance

Why Choose us

⭢ Live Online Training (Duration : 32 Hours)

⭢ Guaranteed to run classes

⭢ Experienced & certified trainers

⭢ Query Handling session

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