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Google Cloud Digital Leader Certification

Pooja Gera

Cloud Yatra <> GDG Cloud Noida, 20th July 2024

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$whoami

  • Software Engineer at Palo Alto Networks
  • SWE Intern 2022 at Microsoft
  • National SemiFinalist (Health Category), Microsoft Imagine Cup 2023 India Regionals
  • Winner, VMWare CAP Hackathon
  • 2nd Runner Up, Flipkart GRiD 3.0
  • University Winner, Google Cloud x AMD Solving For India Hackathon
  • Winner (Category Prize), AWS PartyRock Hackathon
  • Top 59 Teams, Google GenAI Hackathon
  • Won 30+ hackathons
  • OnePlus Student Ambassador 2022-23

https://linktr.ee/poojagera0_0

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ALL ABOUT GOOGLE CLOUD DIGITAL LEADER CERTIFICATION

The What

The How

The Why

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CHECKPOINT #1

What will be covered in this presentation?

  1. Introduction to cloud computing only
  1. Steps to becoming a Google Cloud Digital Leader only
  1. Both the introduction and benefits of the Google Cloud Digital Leader

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CHECKPOINT #1

What will be covered in this presentation?

  • Introduction to cloud computing only
  • Steps to becoming a Google Cloud Digital Leader only
  • Both the introduction and benefits of the Google Cloud Digital Leader

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THE WHAT

01

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THE WHAT

  • A professional
  • Understands the capabilities of Google Cloud
  • Can articulate how it can be used to achieve business objectives.
  • Focuses on digital transformation and leveraging cloud technology to drive innovation.

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CHECKPOINT #2

Do you know which tools are these?

(1)

(2)

(3)

(4)

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THE WHY

  • In-demand skills for modern businesses
  • Strategic understanding of cloud solutions
  • Enhanced career opportunities
  • Contribution to digital transformation initiatives

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Three Kinds of Data

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Structured Data

Highly Organized, Well Defined ✅

Is Typically Stored In a Table ✅

Includes Spreadsheets and Databases ✅

Is Easy to Analyze ✅

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Unstructured Data

Doesn’t have a predefined data model ✅

Isn’t organized in a predefined manner ✅

  • Text, like documents and presentations ✅
  • Data files, like images, audio, and video ✅
  • Infrastructure activity and performance data ✅

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Semi Structured Data

Is organized into a hierarchy ✅

Lacks full differentiation or order ✅

Includes examples like emails, HTML, JSON, XML ✅

Doesn’t have a formal structure ✅

Contains tags for easier analysis ✅

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Storage Solutions

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Google Cloud SQL

Google Cloud Storage

Google Cloud Spanner 💰

Managed relational database (MySQL, PostgreSQL, SQL Server)

Scalable storage for unstructured data

Global, horizontally scalable database

Automated backups, updates, and replication

Multiple storage classes for cost optimization

High availability with ACID transactions

Scalable resources for performance

Integrates with Google Cloud services

Combines SQL querying with NoSQL scalability

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CHECKPOINT #3

Pooja is the IT manager at a media company that handles a variety of data types. The company needs to store and manage both data efficiently using Google Cloud products. Here's the scenario:

  1. The company has a vast collection of multimedia files (videos, images, audio files) that need to be stored and accessed frequently.
  2. Additionally, the company needs to manage a customer database that includes information such as user profiles, transaction history.

Given the requirements for both kinds of data storage, which Google Cloud products should Pooja choose to meet these needs effectively?

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THE HOW

  • Google Cloud Skills Boost Training Path�https://www.cloudskillsboost.google/paths/9/
  • Exam Dumps of Google Cloud Digital Leader Certification
  • Google’s Gemini

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CHECKPOINT #4

What does the consistency dimension refer to when data quality is being measured?

  • Whether all the required information is present.
  • Whether the data is up-to-date and reflects the current state of the phenomenon that is being modeled.
  • Whether a dataset is free from duplicate values that could prevent an ML model from learning accurately.
  • Whether the data is uniform and doesn’t contain any contradictory information.

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CHECKPOINT #4

What does the consistency dimension refer to when data quality is being measured?

  • Whether all the required information is present.
  • Whether the data is up-to-date and reflects the current state of the phenomenon that is being modeled.
  • Whether a dataset is free from duplicate values that could prevent an ML model from learning accurately.
  • Whether the data is uniform and doesn’t contain any contradictory information.

COMPLETENESS

TIMELINESS

UNIQUENESS

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📱

You use the smartphone,

The smartphone doesn’t use you.

Use your time wisely, grow for yourself.

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Access The Slides Here

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Reach out to me to build products together!

  • Software Engineer at Palo Alto Networks
  • SWE Intern 2022 at Microsoft
  • National SemiFinalist (Health Category), Microsoft Imagine Cup 2023 India Regionals
  • Winner, VMWare CAP Hackathon
  • 2nd Runner Up, Flipkart GRiD 3.0
  • University Winner, Google Cloud x AMD Solving For India Hackathon
  • Blog Post Winner, AWS PartyRock Hackathon
  • Top 59 Teams, Google GenAI Hackathon
  • Won 30+ hackathons
  • OnePlus Student Ambassador 2022-23

https://linktr.ee/poojagera0_0