We may earn an affiliate commission when you visit our partners.
Course image
Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console.

This hands-on lab will show you how to store and query data in Google Cloud Datastore using the Google Cloud Platform.

Enroll now

What's inside

Syllabus

Datastore: Qwik Start

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches how to store and query data in Datastore in the cloud
Suitable for students new to the cloud or Datastore
Google Cloud are the instructors which may boost credibility
Potential dealbreaker: Content may be limited to the basics

Save this course

Save Datastore: Qwik Start to your list so you can find it easily later:
Save

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 Datastore: Qwik Start with these activities:
Google Cloud: Running a Query
This tutorial will strengthen your knowledge of running queries in Google Cloud Datastore.
Browse courses on Google Cloud
Show steps
  • Read the tutorial at this URL: https://cloud.google.com/datastore/docs/quickstarts/query-python
Practice Building Queries
Practice querying Datastore with different constraint types to prepare you for querying in your project.
Browse courses on Google Cloud
Show steps
  • Refer to the following URL for multiple query operations: https://cloud.google.com/datastore/docs/concepts/queries
  • Create your own Datastore queries and practice using different comparison operators.
Add a Query to a GCP Project
Applying queries in your own Google Cloud Project will give you valuable hands-on experience.
Browse courses on Google Cloud
Show steps
  • Create a new Google Cloud Project or use an existing one.
  • Enable Datastore API for the project if not already enabled.
  • Write a query and incorporate it into a live project.
Show all three activities

Career center

Learners who complete Datastore: Qwik Start will develop knowledge and skills that may be useful to these careers:
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines. They work with data scientists and other stakeholders to understand data requirements, and then develop and implement solutions to meet those requirements. This course can help Data Engineers build a foundation in Google Cloud Datastore, which is a popular NoSQL database for storing and querying data. By learning how to use Datastore, Data Engineers can develop more efficient and scalable data pipelines.
Data Scientist
Data Scientists use data to solve business problems. They work with data engineers and other stakeholders to understand data requirements, and then develop and implement machine learning and other data science solutions. This course can help Data Scientists build a foundation in Google Cloud Datastore, which is a popular NoSQL database for storing and querying data. By learning how to use Datastore, Data Scientists can develop more efficient and scalable data science solutions.
Database Administrator
Database Administrators are responsible for managing and maintaining databases. They work with developers and other stakeholders to ensure that databases are performant and reliable. This course can help Database Administrators build a foundation in Google Cloud Datastore, which is a popular NoSQL database for storing and querying data. By learning how to use Datastore, Database Administrators can develop more efficient and scalable database solutions.
Cloud Architect
Cloud Architects design and implement cloud computing solutions. They work with customers and other stakeholders to understand cloud computing requirements, and then develop and implement solutions to meet those requirements. This course can help Cloud Architects build a foundation in Google Cloud Datastore, which is a popular NoSQL database for storing and querying data. By learning how to use Datastore, Cloud Architects can develop more efficient and scalable cloud computing solutions.
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with product managers and other stakeholders to understand software requirements, and then develop and implement solutions to meet those requirements. This course can help Software Engineers build a foundation in Google Cloud Datastore, which is a popular NoSQL database for storing and querying data. By learning how to use Datastore, Software Engineers can develop more efficient and scalable software applications.
DevOps Engineer
DevOps Engineers work with developers and operations teams to ensure that software applications are deployed and maintained efficiently and reliably. This course can help DevOps Engineers build a foundation in Google Cloud Datastore, which is a popular NoSQL database for storing and querying data. By learning how to use Datastore, DevOps Engineers can develop more efficient and scalable DevOps solutions.
Data Analyst
Data Analysts use data to understand business trends and make recommendations. They work with data scientists and other stakeholders to understand data requirements, and then develop and implement data analysis solutions. This course can help Data Analysts build a foundation in Google Cloud Datastore, which is a popular NoSQL database for storing and querying data. By learning how to use Datastore, Data Analysts can develop more efficient and scalable data analysis solutions.
Business Analyst
Business Analysts work with businesses to understand their needs and develop solutions to improve their operations. This course can help Business Analysts build a foundation in Google Cloud Datastore, which is a popular NoSQL database for storing and querying data. By learning how to use Datastore, Business Analysts can develop more efficient and scalable business solutions.
Program Manager
Program Managers plan and execute software development projects. They work with stakeholders to define project requirements, and then develop and implement project plans to meet those requirements. This course can help Program Managers build a foundation in Google Cloud Datastore, which is a popular NoSQL database for storing and querying data. By learning how to use Datastore, Program Managers can develop more efficient and scalable project plans.
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and other stakeholders to define product requirements, and then develop and implement product plans to meet those requirements. This course can help Product Managers build a foundation in Google Cloud Datastore, which is a popular NoSQL database for storing and querying data. By learning how to use Datastore, Product Managers can develop more efficient and scalable product plans.
Technical Writer
Technical Writers create documentation for software and other technical products. They work with engineers and other stakeholders to understand the product, and then develop and implement documentation that explains how to use the product. This course can help Technical Writers build a foundation in Google Cloud Datastore, which is a popular NoSQL database for storing and querying data. By learning how to use Datastore, Technical Writers can develop more efficient and scalable documentation.
User Experience Designer
User Experience Designers design the user interface for software and other products. They work with engineers and other stakeholders to understand the user experience, and then develop and implement designs to improve the user experience. This course can help User Experience Designers build a foundation in Google Cloud Datastore, which is a popular NoSQL database for storing and querying data. By learning how to use Datastore, User Experience Designers can develop more efficient and scalable user interfaces.
Quality Assurance Analyst
Quality Assurance Analysts test software and other products to ensure that they meet quality standards. They work with engineers and other stakeholders to identify and fix defects. This course can help Quality Assurance Analysts build a foundation in Google Cloud Datastore, which is a popular NoSQL database for storing and querying data. By learning how to use Datastore, Quality Assurance Analysts can develop more efficient and scalable tests.
Technical Support Engineer
Technical Support Engineers provide support to users of software and other products. They work with users to troubleshoot problems and resolve issues. This course can help Technical Support Engineers build a foundation in Google Cloud Datastore, which is a popular NoSQL database for storing and querying data. By learning how to use Datastore, Technical Support Engineers can provide more efficient and scalable support to users.
Sales Engineer
Sales Engineers sell software and other products to businesses. They work with customers to understand their needs and develop solutions to meet those needs. This course may be helpful to Sales Engineers who sell data storage and query solutions. By learning how to use Google Cloud Datastore, Sales Engineers can better understand the product and its benefits, and can develop more effective sales pitches.

Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Datastore: Qwik Start.
Provides a conceptual overview of data-intensive applications, covering topics such as data modeling, consistency, partitioning, and replication. It valuable resource for developers who want to design and build scalable and reliable data-intensive applications.
Provides a comprehensive overview of big data analytics techniques. It covers topics such as data collection, data processing, and data analysis. It valuable resource for developers who want to learn more about the fundamentals of big data analytics.
Provides a comprehensive overview of data management techniques for large-scale applications. It covers topics such as data modeling, storage systems, and querying. It valuable resource for developers who want to learn more about the fundamentals of data management.
Provides a comprehensive overview of data science techniques for business applications. It covers topics such as data collection, data analysis, and data visualization. It valuable resource for developers who want to learn more about the fundamentals of data science.
Provides a gentle introduction to computer vision. It covers topics such as image recognition, object detection, and image segmentation. It good choice for beginners who want to learn the basics of computer vision.
Provides a gentle introduction to machine learning. It covers topics such as supervised learning, unsupervised learning, and machine learning algorithms. It good choice for beginners who want to learn the basics of machine learning.
Provides a comprehensive overview of deep learning techniques. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks. It valuable resource for developers who want to learn more about the fundamentals of deep learning.
Provides a gentle introduction to natural language processing. It covers topics such as text classification, text clustering, and machine translation. It good choice for beginners who want to learn the basics of natural language processing.
Provides a gentle introduction to reinforcement learning. It covers topics such as Markov decision processes, value functions, and reinforcement learning algorithms. It good choice for beginners who want to learn the basics of reinforcement learning.
Provides a comprehensive overview of domain-driven design, a software development approach that focuses on aligning software design with the business domain. It valuable resource for developers who want to build software that is both flexible and maintainable.
Provides a fun and practical introduction to design patterns, which are reusable solutions to common software development problems. It valuable resource for developers who want to improve their code quality and productivity.
Provides a practical guide to writing clean and maintainable code. It valuable resource for developers of all levels, including those who are new to Google Cloud Datastore.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser