Table of contents
Introduce
Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences.
“Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
When you complete this course, you can earn the badge displayed here! View all the badges you have earned by visiting your profile page. Boost your cloud career by showing the world the skills you have developed!
The Value of Data
Which is a repository designed to ingest, store, explore, process, and analyze any type or volume of raw data, regardless of the source?
Data lake
Database
Data archive
Data warehouse
A solar energy company wants to analyze weather data to better understand the seasonal impact on their business. On which platform could they find free-to-use weather datasets?
Google Cloud console
Google Play
Google Cloud Marketplace
App Engine
What is data governance?
The process of analyzing data to gain insights and make informed decisions
The process of setting internal data policies and ensuring compliance with external standards
The process of deleting unnecessary data to save storage space
The process of collecting and storing data for future use
Which step in the data value chain is where collected raw data is transformed into a form that’s ready to derive insights from?
Data processing
Data genesis
Data storage
Data analysis
A car insurance company has a large database that stores customer details, including the vehicles they own and past claims. The structure of the database means that information is stored in tables, rows, and columns. What type of database is this?
An object database
A non-relational database
A relational database
An XML database
Which represents the proprietary customer datasets that a business collects from customer or audience transactions and interactions?
Second-party data
First-party data
Third-party data
New cloud tools make it possible to harness the potential of unstructured data. Which of these use cases best demonstrates this?
Analyzing historical sales figures to predict future trends
Using GPS coordinates to power a ride-sharing app
Analyzing social media posts to identify sentiment toward a brand
Creating visualizations from seasonal weather data
Which data type is highly organized and well-defined?
Unstructured data
Semi-structured data
Structured data
A hybrid of structured, semi-structured, and unstructured data
What is Google Cloud’s modern and serverless data warehousing solution?
Compute Engine
BigQuery
Vertex AI
Cloud Storage
An online retailer uses a smart analytics tool to ingest real-time customer behavior data to surface the best suggestions for particular users. How can machine learning guide this activity?
Machine learning can be used to make all users see the same product recommendations, regardless of their preferences or behavior.
Through machine learning, a user’s credit card transactions can be analyzed to determine regular purchases.
Machine learning can help identify user behavior in real time, but cannot make personalized suggestions based on the data.
Through machine learning, with every click that the user makes, their website experience becomes increasingly personalized.