Google Cloud Platform - Big Data Trunk

https://project.bigdatatrunk.com Quality Corporate and Classroom Training in Bay Area CA Mon, 23 Feb 2026 06:57:19 +0000 en-US hourly 1 https://wordpress.org/?v=7.0 Data Engineering and Analytics on GCP (Google Cloud Platform) https://project.bigdatatrunk.com/courses/data-engineering-and-analytics-on-gcp-google-cloud-platform/ https://project.bigdatatrunk.com/courses/data-engineering-and-analytics-on-gcp-google-cloud-platform/#respond Tue, 26 Nov 2024 13:26:23 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=54798 This training provides an in-depth introduction to data engineering and analytics on Google Cloud Platform (GCP). Participants will explore key GCP services such as BigQuery, Dataflow, and Cloud Storage while learning to build scalable data pipelines and analyze datasets effectively.

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Overview
Prerequisites
Audience
Curriculum

Description:

This training provides an in-depth introduction to data engineering and analytics on Google Cloud Platform (GCP). Participants will explore key GCP services such as BigQuery, Dataflow, and Cloud Storage while learning to build scalable data pipelines and analyze datasets effectively. The training focuses on hands-on application of GCP tools to address real-world data challenges. By the end of the day, attendees will be equipped to design and implement efficient data workflows and analytics solutions on GCP.

Duration: 1 Day

Course Code: BDT34

Learning Objectives:

By the end of this training, participants will be able to:

Identify the core data engineering and analytics tools on GCP.
Build data pipelines using Cloud Storage, Dataflow, and Pub/Sub.
Analyze large datasets with BigQuery.
Design workflows to integrate real-time and batch processing.
Optimize data solutions for cost and performance on GCP.

Basic familiarity with data concepts and cloud computing is recommended. Knowledge of SQL is helpful but not required.

Data engineers and analysts exploring GCP for data solutions.
IT professionals interested in building scalable data workflows on GCP.
Business leaders seeking to understand GCP analytics capabilities.

Course Outline:

Module 1: Introduction to GCP for Data Engineering and Analytics

Overview of GCP’s Data Ecosystem
Key Services: BigQuery, Dataflow, Cloud Storage, and Pub/Sub

Module 2: Data Storage and ETL Pipelines on GCP

Storing and Managing Data with Cloud Storage
Creating ETL Pipelines with Dataflow
Hands-On: Building a Data Pipeline

Module 3: Analytics with BigQuery

Introduction to BigQuery: Architecture and Features
Querying and Analyzing Datasets
Hands-On: Writing and Executing BigQuery SQL Queries

Module 4: Real-Time Data Processing with Pub/Sub

Introduction to Pub/Sub for Streaming Data
Designing Real-Time Data Workflows
Hands-On: Processing Streaming Data

Module 5: Use Cases, Best Practices, and Wrap-Up

Real-World Applications of GCP in Data Engineering
Best Practices for Performance and Cost Optimization
Q&A and Additional Resources

Training material provided: Yes (Digital format)

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]]> https://project.bigdatatrunk.com/courses/data-engineering-and-analytics-on-gcp-google-cloud-platform/feed/ 0 Security In Google Cloud Platform https://project.bigdatatrunk.com/courses/security-in-google-cloud-platform/ https://project.bigdatatrunk.com/courses/security-in-google-cloud-platform/#respond Sat, 20 May 2023 08:09:17 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=29565 As your organization begins to use Google Cloud Platform or is exploring using GCP, it is important to understand security controls and techniques on Google Cloud.

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Overview
Prerequisites
Audience
Curriculum

Description:

Explore essential security controls and techniques in Google Cloud Platform through hands-on labs. Whether you're starting with GCP or looking to enhance your security expertise, this training is your key to safeguarding valuable assets effectively. Learn about Cloud Identity, Resource management, VPC firewall, VPC Peering, and more. Join us to secure your GCP environment with confidence.

Course Code/Duration:

BDT204 / 1 Day

Learning Objectives:

After this course, you will be able to:

Understand Google's cloud security approach.
Be proficient in managing permissions with Cloud IAM Roles.
Master Service Account usage for secure authentication.
Configure VPCs, firewalls, and peering for network security.
Gain control over cloud operations for efficient resource management.

Prerequisites:

Must understand basics of Google Cloud Computing or have taken “Google Cloud for Beginners” course.

Audience:

This course is designed for anyone interested in understanding security in Google Cloud Platform, you might be a software engineer, QA engineer, DevOps engineer, product manager, project manager.

Course Outline:

Introduction Google Cloud Security

Google’s Role in ensuring security
Shared Security model

Cloud Identity

Cloud Identity Overview
Google Admin Console
Working with Microsoft Active Directory
Managing Permissions and Groups
Lab: Configuring Permissions

Cloud Identity and Access Management (Cloud IAM)

Resource management
IAM Roles
IAM Policies
Service Accounts
Lab: Multiple Labs on Cloud IAM

Virtual Private Cloud Security

VPC Firewall
VPC Peering
VPC Service Controls
Understanding Interconnect
Lab: Multiple Labs with VPC Security

Cloud Operations Controls

Cloud Monitoring
Cloud Logging
Cloud Alerts
Lab: Cloud Monitoring

Training material provided:

Hands-on Lab: Students will be required to create a Qwiklabs account

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]]> https://project.bigdatatrunk.com/courses/security-in-google-cloud-platform/feed/ 0 Google Cloud Platform Bootcamp https://project.bigdatatrunk.com/courses/google-cloud-platform-bootcamp/ https://project.bigdatatrunk.com/courses/google-cloud-platform-bootcamp/#respond Sat, 20 May 2023 07:43:23 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=29537 In this 10-week immervise Google Cloud Platform training program, students will learn about cloud computing using Google Cloud Platform (GCP).

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Overview
Prerequisites
Audience
Curriculum

Description:

Unlock the potential of Google Cloud Platform (GCP) with our immersive 10-week training program. Dive into cloud computing fundamentals using GCP, and discover equivalent services on Amazon Web Services (AWS).

Our workshop follows Agile Scrum Methodology, providing a hands-on experience with SQL Fundamentals, Cloud basics, and exploring various GCP services. Understand the value of Cloud Computing through GCP, and delve into Compute, Storage, and Networking on the platform.

Gain practical skills through hands-on experience with GCP services, preparing you for GCP certifications. This bootcamp is your gateway to mastering Google Cloud Platform.

Duration: 10 Weeks

Course Code: BDT203

Learning Objectives:

Master Agile Scrum methodology, including roles and artifacts.
Excel in SQL with query writing and data manipulation skills.
Develop a strong foundation in Python, covering data structures and functions.
Gain proficiency in JavaScript basics, event handling, and DOM manipulation.
Explore cloud computing, different cloud platforms, and service models.
Dive into Google Cloud Platform (GCP), its services, and network concepts.
Understand containerization and serverless computing on GCP.
Discover Big Data and Machine Learning services like BigQuery and AI APIs.
Learn about GCP billing, cost management, and certification preparation.
Apply knowledge through practical GCP projects and case studies.

Prerequisites:

Should include one or more years of business and/or tech experience and familiarity with the following technologies:

Understanding of how computers work
Basic programming experience with python, JavaScript, etc.

Audience:

Ideal candidates can be a computer science degree or equivalent experience and entering their first IT role with the focus of Cloud Computing.

Course Outline:

Agile Scrum Methodology

Scrum Introduction
Scrum Team
Scrum Artifacts
Sprint Increment
Spring planning
Backlog
Retrospective
Project description and Case Study
Practice exam and Knowledge check
Certification (optional)

SQL

SQL Fundamentals
Writing SQL Queries
Working Tables and Indexes
Predefined SQL functions
Connecting Python to SQL
Certification (optional)

Python Programming – Fundamentals

Set Up
- Set up development environment – Juypter notebooks
- Using python shell
- Running python script
- Understanding python strings
- Print statements in python
Data Structures in python
- Integers
- Lists
- Dictionaries
- Tuple
- File
- Mutable and Immutable structures
Selection and Looping Constructs
- If/else/elif statements
- Boolean type
- “in” membership
- For loop
- While Loop
- List and Dictionary Comprehension
Functions
- Defining functions
- Variable scope – Local and Global
- Arguments
- Polymorphisms
Modules
- Creating modules
- Importing Modules
- Different types of imports
- Dir and help
- Examining some built-in modules
Classes & Exceptions
- Object Oriented Programming Introduction
- Classes and Objects
- Polymorphism – Function and Operator Overloading
- Inheritance

Introduction to JavaScript

What is JavaScript?
- History
- Javascript Language – Dynamic & Weakly typed
- Different Execution Environment – Client & Server
- Setting up development environment
Language Basics
- Variables
- Data types
- Operators
- Functions – Declarations and Expressions
- Primitive v/s Reference values
- Arrays
Control Structures
- If/else/else if statements
- Comparison Operators
- Truthy and Falsy
- Ternary operator
- For Loop
- While Loop
- Error Handling
- Switch Statements
Advanced Functions
- Functions as Objects
- Anonymous Functions
- Arrow Functions
- Callback functions
- Rest Operator
Working with DOM
- Understanding components of DOM
- Traversing child nodes
- Using Parent Node and Parent Element
- Inserting DOM Element with JavaScript
- Adding HTML via Code
More Data Structures
- Arrays – methods and operators
- Maps
- Sets
Event handlers
- Loading Scripts Dynamically
- Working with events
- Event propagation
- Event Handlers and “this”
Javascript Libraries Frameworks
- Why use them?
- jQuery
- Axios
- js
Introduction to Node.js
- Installing and working with Node.js
- Understanding basics of Node.js
- Working with incoming html request
- Responding to html requests
Scalable Compute and Storage Services
Distributed computing
Managed Infrastructure

What is Cloud&rdquo?

Introduction to Cloud Computing
Scalable Compute and Storage Services
Distributed computing
Managed Infrastructure

Different Cloud Platforms

Vendors of Major Cloud Computing Platforms

Cloud Deployment Models

Different types of cloud deployments models
Using different computing platforms

Cloud Service Models

Understand the types of service models offered
How to use these service models?

Introduction to GCP

History of GCP
How did Google get there?
Google Network
GCP Regions and Zones
Environmental Responsibility

Overview of Resources and Services offered on GCP

Overview of different resources and services on GCP
Compute, Storage, Big Data, AI/Machine Learning services

Getting Started with GCP

Security with Google’s Cloud Infrastructure
Understanding resource hierarchy
IAM – Identity and Access Management
Different IAM Roles
Connecting to Google Cloud Platform

Resource: Compute

Understanding Compute Virtualization
Virtual Machines in Cloud
Your own Virtual Private Network (VPC)
Important VPC capabilities

Resource: Storage

Understanding Cloud Storage
Interacting with Cloud Storage
Cloud Storage Classes
Google Cloud Bigtable
Cloud SQL and Cloud Spanner
Cloud Datastore
Storage and other GCP Services

Containers on GCP

Understanding Containers
Kubernetes and Google Kubernetes Engine (GKE)
Implementing Hybrid and Multi-Cloud with Anthos

Serverless Computing

Introduction to App Engine
Cloud Functions
Cloud Endpoints and Apigee Edge

Networking on GCP

Virtual Private Cloud
Networks and Subnets
Relation between Networks and Projects
Internal and External IP addresses
Routes and Firewall Rules
Shared VPC
Load Balancers

On Premises to GCP

Cloud Peering
Connecting to the GCP

Deployment and Monitoring

Development in the cloud
Deployment in the cloud
Monitoring – Stackdriver

Big Data in Cloud

Big Data Platform on GCP
Cloud Dataproc
Cloud Dataflow
Cloud BigQuery
Cloud Pub/Sub
Cloud Datalab

Machine Learning on GCP

Understanding AI and Machine Learning
Doing machine learning on GCP
Understanding TensorFlow

Machine Learning APIs on GCP

Machine Learning APIs
Natural Language Processing
Translation API
Speech – Text to Speech, Speech to Text API
Vision API
Cloud AutoML
BigQuery ML

Billing and Cost management

Setting up Budgets and Alerts
Setting up resource quotas

Certification

Certification Overview
Identify the right certification for you
Tips to prepare for certification

Project & Case

Project Overview
Performing GCP Projects to get experience and practice
GCP Case Studies

Training material provided:

Yes (Digital format)
Hands-on Lab: Instructions will be provided to create a free tier account on Azure.

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]]> https://project.bigdatatrunk.com/courses/google-cloud-platform-bootcamp/feed/ 0 Kickstart Terraform with GCP in a Day https://project.bigdatatrunk.com/courses/kickstart-terraform-with-gcp-in-a-day/ https://project.bigdatatrunk.com/courses/kickstart-terraform-with-gcp-in-a-day/#respond Tue, 04 Oct 2022 10:51:51 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=25225 Cloud technologies are everywhere these days, and demand for people able to work with these technologies is growing every day. Terraform, an open-source Infrastructure as Code (IaC) tool that is effective and efficient in managing cloud resources. It allows you to build, change and version infrastructure efficiently and safely.

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Overview
Prerequisites
Audience
Curriculum

Short Description:

Description:

Cloud technologies are everywhere these days, and demand for people able to work with these technologies is growing every day. Terraform, an open-source Infrastructure as Code (IaC) tool that is effective and efficient in managing cloud resources. It allows you to build, change and version infrastructure efficiently and safely. In this course you will learn about using the Hashicorp language syntax and how to use it to configure and manage cloud resources. You will also understand about how terraform manages and maintain resource states.

Course Code/Duration:

BDT257 / 1 – Day

Learning Objectives:

After this course, you will be able to:

Terraform and Cloud Fundamentals
Hashicorp configuration language
Terraform states
Terraform modules
Building professional GCP cloud infrastructure with Terraform

Basic knowledge Linux and GCP.

This course is designed for anyone interested to get started with using terraform. It is geared towards DevOps engineers, Cloud engineers, Cloud Solution Architects, System engineers, Infrastructure engineers.

Course Outline:

Terraform and Cloud Fundamentals

What is terraform?
GCP basics: VPC, EC2, Regions and Zones
Terraform basic commands
Hands-on: Creating an IAM user

Hashicorp configuration language (HCL)

Terraform data types: Numbers, strings, bools, collections
Terraform count and for_each
Dynamic blocks
Conditional expressions
Built-in functions
Hands-on lab with these topics

Terraform states

Backends and remote state management
Remote state on GCP Storage
Managing secrets with Terraform
Hands-on labs with these topics

Terraform modules

Introduction to terraform modules
Refactoring modules and access output values
Introduction to Terraform registry
Exploring VPC, Security Group and EC2 module
Hands-on lab with ANN for Classification

Building professional GCP infrastructure with Terraform

Terraform providers
Configuration Syntax
Terraform plan and apply
Formatting and validating configuration files
Terraform data sources
Hands-on lab with building different GCP resources

Training material provided: Yes (Digital format)

Hands-on Lab:
Students must create Qwiklabs account for performing hands-on labs.

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]]> https://project.bigdatatrunk.com/courses/kickstart-terraform-with-gcp-in-a-day/feed/ 0 Kickstart BigQuery on GCP in a Day https://project.bigdatatrunk.com/courses/kickstart-bigquery-on-gcp-in-a-day/ https://project.bigdatatrunk.com/courses/kickstart-bigquery-on-gcp-in-a-day/#respond Thu, 03 Feb 2022 07:16:57 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=23455 BigQuery is a data warehouse service that Google has developed using the Software as a Service (SaaS) principle on their cloud platform.

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Overview
Prerequisite
Audiance
Curriculum

Description:

"Kickstart Your BigQuery On GCP In A Day Training: Unlock Google's Powerful Data Warehouse. Dive into the world of BigQuery, Google's cutting-edge data warehouse service, built on the cloud platform following the SaaS model. Learn how to harness BigQuery's capability to store and rapidly query vast amounts of data, with even terabytes at your fingertips within seconds. In this comprehensive class, grasp the intricacies of BigQuery's architecture, and gain proficiency in its storage and query engine. Explore hands-on sessions using Qwiklabs to master BigQuery's practical applications."

Course Code/Duration:

BDT184 / 1 Day

Learning Objectives:

After completing this course, you'll:

Gain insight into Google Cloud Platform and Data Warehousing.
Understand BigQuery's architecture.
Learn data management techniques in BigQuery.
Grasp the nuances of query execution.
Explore the possibilities of Machine Learning with BigQuery.

Basic knowledge of relational databases and SQL is desired but not mandatory. Basic understanding of Google Cloud Platform is required.

This course is designed for anyone interested to get started with using BigQuery on GCP – Software Developers, DBA, Architects.

Course Outline:

Introduction to GCP and Data Warehousing
1. Refresher on what is GCP
2. What is Data Warehouse & Why is it used?
BigQuery Architecture
1. Understanding BigQuery Architecture
2. Data Storage – sources and storage
3. Query Processing Engine
4. Lab: Hands-on Lab to get started with BigQuery
Working with data in BigQuery
1. Understand the different BigQuery data sources
2. Working with Joins and Unions
3. Understanding Table Partitioning
4. Using semi-structured data like JSON, Geo-Spatial data
5. Lab: Couple of labs on these topics
Understanding Query Execution
1. Understand BigQuery execution
2. Tables & Views in BigQuery
3. Understanding BigQuery pricing and costs
4. Lab: Data Ingestion
Machine Learning on BigQuery
1. Performing machine learning with BigQuery
2. Build Classification, Regression models using BigQuery
3. Lab: Building models using BQML

Training material provided:

Yes (Digital format)

Hands-on Lab: Students must create Qwiklabs account for performing hands-on labs.

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]]> https://project.bigdatatrunk.com/courses/kickstart-bigquery-on-gcp-in-a-day/feed/ 0 Byte-Sized Google Cloud Series: AI/ML on Google Cloud Platform (GCP) https://project.bigdatatrunk.com/courses/byte-sized-google-cloud-series-ai-ml-on-google-cloud-platform-gcp/ https://project.bigdatatrunk.com/courses/byte-sized-google-cloud-series-ai-ml-on-google-cloud-platform-gcp/#respond Sat, 15 May 2021 05:56:04 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=22365 A short session indented to understand AI/Machine Learningon the Google Cloud Platform.

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Overview
Prerequisite
Audience
Curriculum

Description:

A short session indented to understand AI/Machine Learning on the Google Cloud Platform.

Setup:

Create a Qwiklabs account using a GMAIL or your email id https://qwiklabs.com/

Course Code/Duration:

BDT126 / 90 Minutes

Learning Objectives:

After this course, you will understand the following:

Understand the different ways you can leverage AI/ML services offered on GCP
Learn about different APIs provided for pre-built models
Demo/Lab to use AI Platform on GCP.

Basic understanding of Cloud Computing, basic understanding of what Machine Learning is.

Anyone who is interested in understanding and getting started with Cloud Computing on Google Cloud Platform.

Course Outline:

Introduction to AI/ML Services on GCP
Exploring Pre-built Models and APIs
Working with AI Platform
Demo/Lab: Practical Application

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]]> https://project.bigdatatrunk.com/courses/byte-sized-google-cloud-series-ai-ml-on-google-cloud-platform-gcp/feed/ 0 Byte-Sized Google Cloud Series: Big Data on Google Cloud Platform (GCP) https://project.bigdatatrunk.com/courses/byte-sized-google-cloud-series-big-data-on-google-cloud-platform-gcp/ https://project.bigdatatrunk.com/courses/byte-sized-google-cloud-series-big-data-on-google-cloud-platform-gcp/#respond Sat, 15 May 2021 05:52:24 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=22363 A short session indented to understand different services available on GCP to perform Big Data analytics.

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Overview
Prerequisite
Audience
Curriculum

Description:

In this concise session, you'll gain insights into various GCP services tailored for Big Data analytics. Join us to unlock the potential of Google Cloud for your data-driven projects."

Setup:

Create a Qwiklabs account using a GMAIL or your email id https://qwiklabs.com/

Course Code/Duration:

BDT125 / 90 Minutes

Learning Objectives:

After this course, you will understand the following:

Different services and tools available to perform Big Data processing and analytics on GCP
Requirements to spawn a cluster on GCP to perform data analytics
Demo/Lab of spinning a spark cluster on GCP.

Basic understanding of Cloud Computing

Anyone who is interested in understanding and getting started with Cloud Computing on Google Cloud Platform, basic understanding of Big Data technologies such as Apache Hadoop and Apache Spark.

Course Outline:

Introduction to Big Data on Google Cloud Platform (GCP)
Overview of Big Data and its significance
Introduction to Google Cloud Platform (GCP) as a leading cloud service provider
Key features and benefits of using GCP for Big Data processing

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]]> https://project.bigdatatrunk.com/courses/byte-sized-google-cloud-series-big-data-on-google-cloud-platform-gcp/feed/ 0 Byte-Sized Google Cloud Series: Security on Google Cloud Platform (GCP) https://project.bigdatatrunk.com/courses/byte-sized-google-cloud-series-security-on-google-cloud-platform-gcp/ https://project.bigdatatrunk.com/courses/byte-sized-google-cloud-series-security-on-google-cloud-platform-gcp/#respond Sat, 15 May 2021 05:47:50 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=22361 A short session indented to understand the different tools and utilities provided to manage security on GCP (Cloud Identity and Access Management)

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Overview
Prerequisite
Audience
Curriculum

Short Description:

A short session intended to understand the different tools and utilities provided to manage security on GCP (Cloud Identity and Access Management)

Description:

A short session designed for a concise understanding of essential tools and utilities to enhance security on GCP, focusing on Cloud Identity and Access Management (IAM). Join our short, insightful session to bolster your GCP security expertise.

Setup:

Create a Qwiklabs account using a GMAIL or your email id https://qwiklabs.com/

Course Code/Duration:

BDT124 / 90 Minutes

Learning Objectives:

By the end of this course, you will:

Grasp the core components of cloud resource security setup.
Learn how to secure your resources effectively on Google Cloud Platform (GCP).
Gain practical experience through demonstrations and labs on setting up Cloud Identity and Access Management (IAM) in the GCP environment.

Basic understanding of Cloud Computing

Anyone who is interested in understanding and getting started with Cloud Computing on Google Cloud Platform.

Course Outline:

Introduction to GCP Security

Overview of security principles and importance in cloud computing.

Identity and Access Management (IAM)

Understanding IAM roles, permissions, and best practices for access control.

III. Network Security on GCP

Overview of VPCs, firewalls, and encryption for securing data in transit and at rest.

Security Monitoring and Compliance

GCP tools for monitoring, auditing, and ensuring compliance with security standards."

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]]> https://project.bigdatatrunk.com/courses/byte-sized-google-cloud-series-security-on-google-cloud-platform-gcp/feed/ 0 Byte-Sized Google Cloud Series: Networking on Google Cloud Platform (GCP) https://project.bigdatatrunk.com/courses/byte-sized-google-cloud-series-networking-on-google-cloud-platform-gcp/ https://project.bigdatatrunk.com/courses/byte-sized-google-cloud-series-networking-on-google-cloud-platform-gcp/#respond Sat, 15 May 2021 05:44:01 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=22359 A short session indented to understand networking within the Google Cloud Platform.

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Overview
Prerequisite
Audience
Curriculum

Short Description:

A short session intended to understand networking within the Google Cloud Platform.

Description:

In this brief session, you'll gain a solid understanding of networking within GCP. Join us to enhance your knowledge and skills in Google Cloud networking today!

Setup:

Create a Qwiklabs account using a GMAIL or your email id https://qwiklabs.com/

Course Code/Duration:

BDT123 / 90 Minutes

Learning Objectives:

After this course, you will understand the following:

Understand the different networking components are used on the Google Cloud Platform
Understand Virtual Private Cloud and how you can use it to build your own private datacenter
Demo/Lab on Virtual Private Cloud on GCP

Basic understanding of Cloud Computing

Anyone who is interested in understanding and getting started with Cloud Computing on Google Cloud Platform.

Course Outline:

Networking Fundamentals on GCP

Overview of GCP networking components and architecture.

Virtual Private Cloud (VPC) Setup

Configuring VPCs, subnets, and firewall rules for secure network isolation.

III. Load Balancing and Traffic Management

Utilizing GCP Load Balancers for distributing and securing network traffic.

Network Security Best Practices

Implementing encryption, VPNs, and DDoS protection to enhance overall network security on GCP.

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]]> https://project.bigdatatrunk.com/courses/byte-sized-google-cloud-series-networking-on-google-cloud-platform-gcp/feed/ 0 Byte-Sized Google Cloud Series: Storage on Google Cloud Platform (GCP) https://project.bigdatatrunk.com/courses/byte-sized-google-cloud-series-storage-on-google-cloud-platform-gcp/ https://project.bigdatatrunk.com/courses/byte-sized-google-cloud-series-storage-on-google-cloud-platform-gcp/#respond Sat, 15 May 2021 05:40:36 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=22357 A short session indented to get started different storage services provided on the Google Cloud Platform.

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Overview
Prerequisite
Audience
Curriculum

Description:

A short session indented to get started different storage services provided on the Google Cloud Platform.

Setup:

Create a Qwiklabs account using a GMAIL or your email id https://qwiklabs.com/

Course Code/Duration:

BDT122 / 90 Minutes

Learning Objectives:

After this course, you will understand the following:

Understand what the different storage services provided on GCP
Learn what is Cloud Storage and what are the different components involved in it
Perform a hands-on lab to use Cloud Storage on GCP

Training material provided: Yes (Digital format)

Basic understanding of Cloud Computing

Anyone who is interested in understanding and getting started with Cloud Computing on Google Cloud Platform.

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