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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console.
Learn to how to potentially reduce your costs by archiving data, unused tables, and partitions from BigQuery into Google Cloud Storage
Register for this course and see more details by visiting:
OpenCourser.com/course/lf5qte/cost
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What's inside
Syllabus
Cost Optimization and Data Tiering with BigLake and Cloud Storage
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores cost analytics, which is standard in business
Taught by Google Cloud Training, who are recognized for their work in cloud solutions
Develops skills in data management and cost optimization, which are core skills for data analysts
Offers hands-on labs and interactive materials, which enhance learning
Covers cost optimization techniques for BigQuery, which is highly relevant to industry
Assumes learners have prior knowledge of BigQuery
Save this course
Save Cost Optimization and Data Tiering with BigLake and Cloud Storage to your list so you can find it easily later:
Save
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 Cost Optimization and Data Tiering with BigLake and Cloud Storage with these
activities:
Organize Your Course Materials
Show steps
Organizing your course materials will help you stay on track and easily access the resources you need.
Show steps
-
Create a file system or use a note-taking app.
-
Categorize and label your notes, assignments, and other materials.
-
Review your organized materials regularly.
Review BigQuery Concepts
Show steps
Review BigQuery concepts to strengthen your foundation and enhance your understanding of the course materials.
Browse courses on
BigQuery
Show steps
-
Read the BigQuery documentation.
-
Take a BigQuery tutorial.
-
Practice writing BigQuery queries.
Follow a BigQuery Tutorial
Show steps
Following a guided tutorial provides a structured approach to learning BigQuery and reinforces the concepts covered in the course.
Show steps
-
Find a reputable BigQuery tutorial online.
-
Follow the tutorial step-by-step.
-
Practice the concepts learned in the tutorial.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Explore BigQuery Lab Tutorials
Show steps
Get hands-on experience with BigQuery by following step-by-step tutorials.
Browse courses on
BigQuery
Show steps
-
Review the BigQuery documentation.
-
Complete the BigQuery Lab tutorials.
Create a BigQuery Dataset
Show steps
Hands-on practice creating a BigQuery dataset will enhance your understanding of data organization and management in BigQuery.
Browse courses on
Data Management
Show steps
-
Log in to the Google Cloud console.
-
Create a new BigQuery dataset.
-
Configure the dataset properties.
-
Add data to your new dataset (optional).
Join a BigQuery Study Group
Show steps
Engaging in a study group will provide opportunities to discuss concepts with peers, ask questions, and enhance your understanding of BigQuery.
Browse courses on
Collaborative Learning
Show steps
-
Find a BigQuery study group online or in your local area.
-
Attend the study group meetings.
-
Participate in discussions and ask questions.
Develop a data archiving plan for a sample dataset
Show steps
Provides practical experience in developing a data archiving plan, ensuring understanding of archival processes.
Browse courses on
Data Archiving
Show steps
-
Choose the appropriate storage format and location
-
Identify the data that needs to be archived
-
Determine the frequency and duration of the archiving process
Attend a BigQuery Workshop
Show steps
Attending a BigQuery workshop will provide a deep dive into advanced concepts and best practices, enabling you to expand your knowledge and skills.
Show steps
-
Find a relevant BigQuery workshop.
-
Register and attend the workshop.
-
Participate actively and ask questions.
Build a Data Tiering Pipeline
Show steps
Reinforce your understanding of data tiering by building a pipeline that moves data to different storage tiers based on usage.
Browse courses on
Cost Optimization
Show steps
-
Design the pipeline architecture.
-
Develop the pipeline code.
-
Test and deploy the pipeline.
Develop a BigQuery Data Archiving Plan
Show steps
Creating a data archiving plan will help you apply the concepts of cost optimization and data lifecycle management to a real-world scenario.
Browse courses on
Data Lifecycle Management
Show steps
-
Identify the data to be archived.
-
Determine the archival storage location.
-
Set up a schedule for archiving data.
-
Monitor the archiving process.
Organize Your Course Materials
Show steps
Organizing your course materials will help you stay on track and easily access the resources you need.
Show steps
Show steps
Show steps
- Create a file system or use a note-taking app.
- Categorize and label your notes, assignments, and other materials.
- Review your organized materials regularly.
Review BigQuery Concepts
Show steps
Review BigQuery concepts to strengthen your foundation and enhance your understanding of the course materials.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Read the BigQuery documentation.
- Take a BigQuery tutorial.
- Practice writing BigQuery queries.
Follow a BigQuery Tutorial
Show steps
Following a guided tutorial provides a structured approach to learning BigQuery and reinforces the concepts covered in the course.
Show steps
Show steps
Show steps
- Find a reputable BigQuery tutorial online.
- Follow the tutorial step-by-step.
- Practice the concepts learned in the tutorial.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Explore BigQuery Lab Tutorials
Show steps
Get hands-on experience with BigQuery by following step-by-step tutorials.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Review the BigQuery documentation.
- Complete the BigQuery Lab tutorials.
Create a BigQuery Dataset
Show steps
Hands-on practice creating a BigQuery dataset will enhance your understanding of data organization and management in BigQuery.
Browse courses on
Data Management
Show steps
Show steps
Show steps
- Log in to the Google Cloud console.
- Create a new BigQuery dataset.
- Configure the dataset properties.
- Add data to your new dataset (optional).
Join a BigQuery Study Group
Show steps
Engaging in a study group will provide opportunities to discuss concepts with peers, ask questions, and enhance your understanding of BigQuery.
Browse courses on
Collaborative Learning
Show steps
Show steps
Show steps
- Find a BigQuery study group online or in your local area.
- Attend the study group meetings.
- Participate in discussions and ask questions.
Develop a data archiving plan for a sample dataset
Show steps
Provides practical experience in developing a data archiving plan, ensuring understanding of archival processes.
Browse courses on
Data Archiving
Show steps
Show steps
Show steps
- Choose the appropriate storage format and location
- Identify the data that needs to be archived
- Determine the frequency and duration of the archiving process
Attend a BigQuery Workshop
Show steps
Attending a BigQuery workshop will provide a deep dive into advanced concepts and best practices, enabling you to expand your knowledge and skills.
Show steps
Show steps
Show steps
- Find a relevant BigQuery workshop.
- Register and attend the workshop.
- Participate actively and ask questions.
Build a Data Tiering Pipeline
Show steps
Reinforce your understanding of data tiering by building a pipeline that moves data to different storage tiers based on usage.
Browse courses on
Cost Optimization
Show steps
Show steps
Show steps
- Design the pipeline architecture.
- Develop the pipeline code.
- Test and deploy the pipeline.
Develop a BigQuery Data Archiving Plan
Show steps
Creating a data archiving plan will help you apply the concepts of cost optimization and data lifecycle management to a real-world scenario.
Browse courses on
Data Lifecycle Management
Show steps
Show steps
Show steps
- Identify the data to be archived.
- Determine the archival storage location.
- Set up a schedule for archiving data.
- Monitor the archiving process.
Career center
Learners who complete Cost Optimization and Data Tiering with BigLake and Cloud Storage will develop knowledge and skills
that may be useful to these careers:
Big Data Architect
Big Data Architect
A Big Data Architect designs and maintains infrastructure for management and analysis of large data sets, which can be on premises or in the cloud. This course will help you to build a foundation in cost optimization and data tiering on Google's BigQuery, which is a leading cloud-based data management service for Big Data. Big Data engineering is a growing and in-demand field, and this course is a great way to learn how to use the tools and techniques that are essential to success in this role.
Data Engineer
Data Engineer
A Data Engineer designs and builds the systems and processes that enable an organization to collect, store, and analyze data. This course will help you develop your skills in Google's BigQuery, a leading cloud-based data management service for Big Data, which has become an essential tool for Data Engineers.
Big Data Engineer
Big Data Engineer
A Big Data Engineer designs and builds systems for managing and analyzing large amounts of data.
Data Scientist
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course will help you build a foundation in cost optimization and data tiering on Google's BigQuery, which is a leading cloud-based data management service for Big Data. Data Scientists are increasingly called upon to be able to manage and analyze large datasets, making this course an ideal stepping stone to get started in the field.
Data Analyst
Data Analyst
Data Analysts help businesses analyze data to make informed decisions. This course will help you build a foundation in cost optimization and data tiering on Google's BigQuery, which is a leading cloud-based data management service for Big Data. Data Analysts who can effectively use cost optimization and data tiering techniques are highly sought after, and this course is a great way to learn the skills that you need to get ahead in this field.
Database Administrator
Database Administrator
A Database Administrator (DBA) is responsible for the performance, security, and maintenance of a database management system. This course will help you build a foundation in cost optimization and data tiering on Google's BigQuery, a leading cloud-based data management service for Big Data. Cloud computing has become essential to the role of a DBA, and this course will help you learn the skills needed to excel in this role.
Data Architect
Data Architect
A Data Architect designs and builds data architectures for organizations. This course will help you build a foundation in cost optimization and data tiering on Google's BigQuery, a leading cloud-based data management service for Big Data. Data Architects who have experience with BigQuery are in high demand, and this course is a great way to develop the skills that you need to succeed in this role.
Cloud Architect
Cloud Architect
A Cloud Architect designs and builds cloud-based solutions for businesses. This course will help you build a foundation in cost optimization and data tiering on Google's BigQuery, a leading cloud-based data management service for Big Data. Cloud Architects who have experience with BigQuery are in high demand, and this course is a great way to develop the skills that you need to succeed in this role.
Cloud Engineer
Cloud Engineer
A Cloud Engineer designs and builds cloud-based solutions for businesses. This course will help you build a foundation in cost optimization and data tiering on Google's BigQuery, a leading cloud-based data management service for Big Data. Cloud Engineers who have experience with BigQuery are in high demand, and this course is a great way to develop the skills that you need to succeed in this role.
Data Warehouse Architect
Data Warehouse Architect
A Data Warehouse Architect designs and builds data warehouses, which are used to store and manage large amounts of data from multiple sources.
Solutions Architect
Solutions Architect
A Solutions Architect designs and implements solutions for complex business problems. This course will help you build a foundation in cost optimization and data tiering on Google's BigQuery, which is a leading cloud-based data management service for Big Data. Solutions Architects who have experience with cloud-based data management are in high demand, and this course is a great way to develop the skills that you need to succeed in this role.
Project Manager
Project Manager
A Project Manager plans, organizes, and manages projects. This course will help you build a foundation in cost optimization and data tiering on Google's BigQuery, a leading cloud-based data management service for Big Data. Project Managers who have experience with BigQuery are in high demand, and this course is a great way to develop the skills that you need to succeed in this role.
DevOps Engineer
DevOps Engineer
A DevOps Engineer designs and implements processes and tools that help to improve the collaboration between development and operations teams.
Business Analyst
Business Analyst
A Business Analyst uses data to help businesses make informed decisions.
Software Developer
Software Developer
A Software Developer designs, develops, tests, deploys, maintains, and documents software systems.
For more career information including salaries, visit:
OpenCourser.com/course/lf5qte/cost
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
Cost Optimization and Data Tiering with BigLake and Cloud Storage.
Save
Provides a comprehensive overview of the principles and practices of designing and building data-intensive applications. It covers topics such as data modeling, storage, processing, and analysis, and valuable resource for anyone working with BigQuery and Cloud Storage.
Provides a comprehensive overview of data analytics with Google Cloud Platform, and covers topics such as data ingestion, processing, and analysis. It valuable resource for anyone working with BigQuery and Cloud Storage.
Provides a comprehensive overview of big data analytics, and covers topics such as data collection, storage, processing, and analysis. It valuable resource for anyone working with BigQuery and Cloud Storage.
Provides a comprehensive overview of big data, and covers topics such as data storage, processing, and analysis. It valuable resource for anyone working with BigQuery and Cloud Storage.
Provides a practical guide to data engineering on Google Cloud Platform, including best practices for data storage, processing, and analytics.
Provides a comprehensive overview of data warehousing fundamentals, design, and best practices, including topics such as data modeling, ETL, and data quality.
Provides a comprehensive guide to Hadoop, including topics such as data storage, processing, and analytics.
Provides a comprehensive guide to Spark, including topics such as data processing, machine learning, and streaming.
Provides a comprehensive overview of algorithms, including topics such as sorting, searching, and dynamic programming.
Provides a comprehensive guide to deep learning with Python, including topics such as neural networks, convolutional neural networks, and recurrent neural networks.
Provides a comprehensive overview of reinforcement learning, including topics such as Markov decision processes, value functions, and policy iteration.
Save
Provides a comprehensive overview of concrete mathematics, including topics such as combinatorics, graph theory, and number theory.
Provides a comprehensive overview of the theory of computation, including topics such as automata theory, computability theory, and complexity theory.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/lf5qte/cost
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Effort
90 minutes
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Explores cost analytics, which is standard in business
Taught by Google Cloud Training, who are recognized for their work in cloud solutions
Develops skills in data management and cost optimization, which are core skills for data analysts
Offers hands-on labs and interactive materials, which enhance learning
Covers cost optimization techniques for BigQuery, which is highly relevant to industry
Assumes learners have prior knowledge of BigQuery
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