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Data Management and Storage in the Cloud

Google Cloud Training

Hi again! This is the second course of the Google Cloud Data Analytics Certificate. Get cozy with the key components of data governance, normalized and star schemas, data catalogs, and data lakehouse architecture.

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What's inside

Syllabus

Introduction to data management and storage in the cloud
Unlock the secrets of data organization in the cloud! In this module, you'll dive into the different forms data can take, how to store it, and the magic of moving it around. (Think of APIs and connectors as your data transport wizards!) Get ready to understand the building blocks of a well-managed data system.
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Key components of data organization
Level up your data organization skills! In this module, you'll decode the mysteries of data governance, schemas (the blueprints of data), and the power of the data lakehouse. Discover how these concepts work together to create a data system that's both powerful and easy to navigate.
Steps to find data
Time for a data treasure hunt! In this module, you'll use Google Cloud tools, like BigQuery and Dataplex, to track down, access, and store the data you need. Think of it as your digital detective kit for solving those tricky business problems.
Techniques to access data
Become a data whisperer! This module teaches you how to talk to data tables and supercharge your queries for lightning-fast insights. You'll explore the power of cloud-based data lakes and warehouses, so you can answer tough business questions with confidence.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops data management skills, which are core skills for data governance and organization
Teaches core components of data governance, such as schemas
Emphasizes industry-standard practices, such as data lakehouse architecture
Taught by Google Cloud Training, who are recognized for their expertise in data governance
Provides hands-on labs to reinforce concepts learned
Covers normalized and star schemas, which are relevant to the data analytics industry

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Management and Storage in the Cloud with these activities:
Read 'Data Management for Dummies' by Lillian Pierson
This book provides a comprehensive overview of data management concepts
View Data Analytics & Visualization All-in-One For... on Amazon
Show steps
  • Purchase or borrow the book
  • Read the book and take notes
  • Complete the exercises at the end of each chapter
Review a course on SQL basics using a video platform
Reviewing these concepts will provide a stronger foundation for the data storage topics addressed in this course
Browse courses on SQL
Show steps
  • Search for a video platform with a free course on SQL
  • Enroll in the course within the video platform
  • Take detailed notes on core concepts and techniques
Complete SQL queries in a practice environment
Completing these exercises will strengthen understanding of SQL and prepare students for work in this course
Browse courses on SQL
Show steps
  • Find a SQL practice environment
  • Complete at least 10 practice problems on joins, aggregations, and subqueries
  • Review documentation and examples to fill any knowledge gaps
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow a tutorial on data lakehouse architecture
This tutorial will provide a practical understanding of data lakehouse architecture
Browse courses on Data Lakehouse
Show steps
  • Find a tutorial on data lakehouse architecture
  • Follow the tutorial step-by-step
  • Take notes and ask questions in the tutorial's forum
Attend a workshop on data governance best practices
Attending a workshop will provide hands-on experience with data governance best practices
Browse courses on Data Governance
Show steps
  • Search for and register for a workshop on data governance best practices
  • Attend the workshop and actively participate
  • Apply the lessons learned from the workshop to your own work
Explore a real-world data set using a data exploration tool
This project will introduce students to the practical application of data organization and storage
Browse courses on Data Organization
Show steps
  • Choose a real-world data set
  • Upload the data set to a data exploration tool
  • Clean and organize the data
  • Create visualizations to explore the data
Create a blog post or article about data governance
Writing a blog post or article on this topic will reinforce the principles and best practices of data governance
Browse courses on Data Governance
Show steps
  • Research data governance principles
  • Identify key concepts and best practices
  • Write a blog post or article that is both informative and engaging
  • Share your blog post or article on social media or other platforms
Mentor a junior data analyst on data organization and storage
Mentoring others is a powerful way to deepen understanding and reinforce concepts in this course
Browse courses on Data Organization
Show steps
  • Identify a junior data analyst who is interested in learning about data organization and storage
  • Set up regular meetings to discuss data organization and storage concepts and principles
  • Provide guidance and support as the mentee applies these concepts to their own work

Career center

Learners who complete Data Management and Storage in the Cloud will develop knowledge and skills that may be useful to these careers:

Reading list

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Course image
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Session
August 12, 2024 - September 16, 2024
Language
English
Good to know
Develops data management skills, which are core skills for data governance and organization
Teaches core components of data governance, such as schemas
Emphasizes industry-standard practices, such as data lakehouse architecture
Taught by Google Cloud Training, who are recognized for their expertise in data governance
Provides hands-on labs to reinforce concepts learned
Covers normalized and star schemas, which are relevant to the data analytics industry
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