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Google Cloud
Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud. Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Dataflow, and how to store processed records to BigQuery or Cloud Bigtable for analysis. Learners get hands-on experience building streaming data pipeline components on Google Cloud by using QwikLabs.
Read more
Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud. Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Dataflow, and how to store processed records to BigQuery or Cloud Bigtable for analysis. Learners get hands-on experience building streaming data pipeline components on Google Cloud by using QwikLabs.
Read more
Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud. Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Dataflow, and how to store processed records to BigQuery or Cloud Bigtable for analysis. Learners get hands-on experience building streaming data pipeline components on Google Cloud by using QwikLabs.
Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud. Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Dataflow, and how to store processed records to BigQuery or Cloud Bigtable for analysis. Learners get hands-on experience building streaming data pipeline components on Google Cloud by using QwikLabs.
This course is no longer available. Find something similar by browsing:
Streaming Data Analytics
Google Cloud
Pub/Sub
Dataflow
BigQuery
Cloud Bigtable
QwikLabs
Register for this course and see more details by visiting:
OpenCourser.com/course/75lrdp/building
What's inside
Syllabus
Introduction
Introduction to Processing Streaming Data
Serverless Messaging with Pub/Sub
Dataflow Streaming Features
Read more
Syllabus
Introduction
Introduction to Processing Streaming Data
Serverless Messaging with Pub/Sub
Dataflow Streaming Features
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Teaches specialized skills that are highly relevant to business operations
Enables learners to build streaming data pipelines on Google Cloud using QwikLabs
Covers advanced BigQuery functionality and performance
Taught by Google Cloud, a recognized leader in cloud computing
Covers essential components of streaming data pipelines, including Pub/Sub, Dataflow, and BigQuery or Cloud Bigtable
Provides hands-on experience with streaming data pipeline components
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Reviews summary
Building resilient streaming analytics on gcp
According to students, this course provides a strong foundation in building resilient streaming analytics systems on Google Cloud. Learners particularly praise the hands-on experience gained through practical QwikLabs, which helps solidify understanding of key services like Pub/Sub, Dataflow, BigQuery, and Cloud Bigtable. The course is noted for its clear explanations of complex topics and its real-world applicability, making it highly valuable for professionals. While generally positive, some learners suggest having prior cloud or distributed systems knowledge to fully benefit from the course's somewhat fast pace.
Focuses on practical application for real-time business operations.
"The scenarios presented were highly applicable to real-world data engineering challenges I face."
"This course directly addresses building resilient systems, which is critical in my production environment."
"I can immediately apply the techniques I learned to improve my company's data pipelines."
Content is well-organized and clearly presented by the instructors.
"I found the instructor explained complex topics like Dataflow internals in an easy-to-understand manner."
"I found the course structure logical, building up concepts effectively from simple to complex."
"I felt everything was well-paced and the lectures were concise yet very informative."
Effectively covers key GCP services for streaming analytics.
"This course effectively integrated Pub/Sub, Dataflow, and BigQuery into a complete solution for me."
"I now have a solid understanding of how to use Dataflow and Bigtable for resilient streaming."
"It perfectly covers the essentials for building real-time data pipelines on Google Cloud."
Provides valuable practical experience with QwikLabs.
"The QwikLabs were incredibly helpful for hands-on practice, making concepts concrete for me."
"I really appreciated the practical focus; I can apply these skills directly to my work."
"Learning by doing in the labs was the strongest part for me, reinforcing the theory."
Requires some foundational understanding of cloud or data engineering.
"Some sections moved quite fast, and I'd recommend having a basic understanding of distributed systems first."
"I found it challenging at times, suggesting prior GCP exposure would be beneficial for students."
"It's a great course, but be aware that it assumes a certain level of familiarity with cloud concepts."
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 Building Resilient Streaming Analytics Systems on Google Cloud with these
activities:
Review Fundamentals of Pub/Sub
Show steps
This activity will ensure that you have a solid understanding of the core concepts of Pub/Sub, the service used to handle incoming streaming data in the course.
Browse courses on
Pub/Sub
Show steps
-
Review the Pub/Sub documentation (https://cloud.google.com/pubsub/docs/quickstart-client-libraries).
-
Create a Pub/Sub topic and subscription (https://cloud.google.com/pubsub/docs/quickstart).
Follow a Tutorial on Advanced BigQuery Features
Show steps
This activity will ensure that you are familiar with advanced BigQuery features, which will be used to store and analyze processed streaming data in the course.
Browse courses on
BigQuery
Show steps
-
Identify a specific BigQuery feature that you want to learn more about.
-
Find a tutorial or documentation on that feature (https://cloud.google.com/bigquery/docs/).
-
Follow the tutorial and complete the exercises.
Practice Building Streaming Data Pipelines with Dataflow
Show steps
This activity will provide you with hands-on experience in building streaming data pipelines using Dataflow, the service used to process streaming data in the course.
Browse courses on
Dataflow
Show steps
-
Follow the Dataflow Quickstart (https://cloud.google.com/dataflow/docs/quickstart).
-
Build a simple streaming data pipeline that reads data from a Pub/Sub topic and writes data to a BigQuery table.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Attend a Meetup on Streaming Data Technologies
Show steps
This activity will provide you with an opportunity to connect with professionals in the field of streaming data.
Browse courses on
Data Pipelines
Show steps
-
Research streaming data meetups in your area (https://www.meetup.com).
-
Attend a meetup and introduce yourself to other attendees.
Attend an Online Workshop on Streaming Data Analytics
Show steps
This activity will expose you to industry best practices and innovative techniques in streaming data analytics.
Browse courses on
Streaming Data Analytics
Show steps
-
Research online workshops on streaming data analytics.
-
Register for a workshop that aligns with your interests and learning goals.
-
Attend the workshop and actively participate in discussions.
Create a Presentation on Streaming Data Architectures
Show steps
This activity will challenge you to synthesize your understanding of streaming data architectures and communicate it effectively.
Browse courses on
Data Pipelines
Show steps
-
Research different streaming data architectures.
-
Design a streaming data architecture for a specific use case.
-
Create a presentation that explains your architecture and its benefits.
Write a Blog Post on Streaming Data Best Practices
Show steps
This activity will encourage you to think critically about streaming data best practices and share your knowledge with the community.
Browse courses on
Data Pipelines
Show steps
-
Research streaming data best practices.
-
Identify a specific best practice that you want to write about.
-
Write a blog post that discusses the best practice, its benefits, and how to implement it.
Participate in a Streaming Data Hackathon
Show steps
This activity will challenge you to apply your streaming data skills in a real-world setting.
Browse courses on
Data Pipelines
Show steps
-
Find a streaming data hackathon that aligns with your interests.
-
Form a team or participate individually.
-
Develop a streaming data solution that addresses the hackathon challenge.
Review Fundamentals of Pub/Sub
Show steps
This activity will ensure that you have a solid understanding of the core concepts of Pub/Sub, the service used to handle incoming streaming data in the course.
Browse courses on
Pub/Sub
Show steps
Show steps
Show steps
- Review the Pub/Sub documentation (https://cloud.google.com/pubsub/docs/quickstart-client-libraries).
- Create a Pub/Sub topic and subscription (https://cloud.google.com/pubsub/docs/quickstart).
Follow a Tutorial on Advanced BigQuery Features
Show steps
This activity will ensure that you are familiar with advanced BigQuery features, which will be used to store and analyze processed streaming data in the course.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Identify a specific BigQuery feature that you want to learn more about.
- Find a tutorial or documentation on that feature (https://cloud.google.com/bigquery/docs/).
- Follow the tutorial and complete the exercises.
Practice Building Streaming Data Pipelines with Dataflow
Show steps
This activity will provide you with hands-on experience in building streaming data pipelines using Dataflow, the service used to process streaming data in the course.
Browse courses on
Dataflow
Show steps
Show steps
Show steps
- Follow the Dataflow Quickstart (https://cloud.google.com/dataflow/docs/quickstart).
- Build a simple streaming data pipeline that reads data from a Pub/Sub topic and writes data to a BigQuery table.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Attend a Meetup on Streaming Data Technologies
Show steps
This activity will provide you with an opportunity to connect with professionals in the field of streaming data.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Research streaming data meetups in your area (https://www.meetup.com).
- Attend a meetup and introduce yourself to other attendees.
Attend an Online Workshop on Streaming Data Analytics
Show steps
This activity will expose you to industry best practices and innovative techniques in streaming data analytics.
Browse courses on
Streaming Data Analytics
Show steps
Show steps
Show steps
- Research online workshops on streaming data analytics.
- Register for a workshop that aligns with your interests and learning goals.
- Attend the workshop and actively participate in discussions.
Create a Presentation on Streaming Data Architectures
Show steps
This activity will challenge you to synthesize your understanding of streaming data architectures and communicate it effectively.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Research different streaming data architectures.
- Design a streaming data architecture for a specific use case.
- Create a presentation that explains your architecture and its benefits.
Write a Blog Post on Streaming Data Best Practices
Show steps
This activity will encourage you to think critically about streaming data best practices and share your knowledge with the community.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Research streaming data best practices.
- Identify a specific best practice that you want to write about.
- Write a blog post that discusses the best practice, its benefits, and how to implement it.
Participate in a Streaming Data Hackathon
Show steps
This activity will challenge you to apply your streaming data skills in a real-world setting.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Find a streaming data hackathon that aligns with your interests.
- Form a team or participate individually.
- Develop a streaming data solution that addresses the hackathon challenge.
Career center
Learners who complete Building Resilient Streaming Analytics Systems on Google Cloud will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts design, implement, and maintain the systems that collect, process, and interpret data. They work with stakeholders to understand their business needs and translate them into technical requirements. This course helps build a foundation in streaming data analytics, which is a critical skill for Data Analysts in the modern era, where real-time data is increasingly important.
Data Engineer
Data Engineer
Data Engineers are responsible for designing, building, and maintaining the infrastructure that stores and processes data. They work with Data Analysts and other stakeholders to understand the business needs and design systems that meet those needs. This course helps build a foundation in streaming data analytics, which is an important skill for Data Engineers who want to work with real-time data.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. They work with stakeholders to understand the business needs and use data to develop solutions. This course helps build a foundation in streaming data analytics, which is a critical skill for Data Scientists who want to work with real-time data.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, build, and maintain machine learning models. They work with stakeholders to understand the business needs and use data to develop models that meet those needs. This course helps build a foundation in streaming data analytics, which is an important skill for Machine Learning Engineers who want to work with real-time data.
Software Engineer
Software Engineer
Software Engineers design, build, and maintain software applications. They work with stakeholders to understand the business needs and develop software that meets those needs. This course helps build a foundation in streaming data analytics, which is an important skill for Software Engineers who want to work with real-time data.
Business Analyst
Business Analyst
Business Analysts work with stakeholders to understand their business needs and develop solutions that meet those needs. They may also be responsible for gathering and analyzing data to support decision-making. This course may be useful for Business Analysts who want to learn more about streaming data analytics.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with stakeholders to understand the market needs and develop products that meet those needs. This course may be useful for Product Managers who want to learn more about streaming data analytics, which can be used to track product usage and identify opportunities for improvement.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. They work with stakeholders to understand the target market and develop campaigns that reach that market. This course may be useful for Marketing Managers who want to learn more about streaming data analytics, which can be used to track campaign performance and identify opportunities for improvement.
Sales Manager
Sales Manager
Sales Managers are responsible for leading sales teams and achieving sales goals. They work with stakeholders to understand the sales process and develop strategies to improve sales performance. This course may be useful for Sales Managers who want to learn more about streaming data analytics, which can be used to track sales performance and identify opportunities for improvement.
Customer Success Manager
Customer Success Manager
Customer Success Managers are responsible for ensuring that customers are satisfied with their products or services. They work with customers to identify their needs and develop solutions that meet those needs. This course may be useful for Customer Success Managers who want to learn more about streaming data analytics, which can be used to track customer satisfaction and identify opportunities for improvement.
Operations Manager
Operations Manager
Operations Managers are responsible for the day-to-day operations of a business. They work with stakeholders to understand the business needs and develop processes that meet those needs. This course may be useful for Operations Managers who want to learn more about streaming data analytics, which can be used to track operational performance and identify opportunities for improvement.
Financial Analyst
Financial Analyst
Financial Analysts are responsible for analyzing financial data and making recommendations on investments. They work with stakeholders to understand the investment goals and develop strategies to achieve those goals. This course may be useful for Financial Analysts who want to learn more about streaming data analytics, which can be used to track financial performance and identify opportunities for improvement.
Risk Analyst
Risk Analyst
Risk Analysts are responsible for identifying and assessing risks. They work with stakeholders to understand the organization's risk appetite and develop strategies to mitigate those risks. This course may be useful for Risk Analysts who want to learn more about streaming data analytics, which can be used to track risk exposure and identify opportunities for mitigation.
Compliance Officer
Compliance Officer
Compliance Officers are responsible for ensuring that a company complies with all applicable laws and regulations. They work with stakeholders to understand the company's compliance obligations and develop policies and procedures to meet those obligations. This course may be useful for Compliance Officers who want to learn more about streaming data analytics, which can be used to track compliance performance and identify opportunities for improvement.
Auditor
Auditor
Auditors are responsible for examining financial records and ensuring that they are accurate and compliant with all applicable laws and regulations. They work with stakeholders to understand the company's financial reporting requirements and develop audit plans to meet those requirements. This course may be useful for Auditors who want to learn more about streaming data analytics, which can be used to track audit performance and identify opportunities for improvement.
For more career information including salaries, visit:
OpenCourser.com/course/75lrdp/building
Reading list
We've selected eight 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
Building Resilient Streaming Analytics Systems on Google Cloud.
Provides practical advice on how to build and manage a successful data science team. It valuable resource for anyone looking to lead or work on a data science team.
Provides a comprehensive overview of dimensional modeling, a popular technique for designing data warehouses. It valuable resource for anyone looking to build or manage a data warehouse.
Save
Provides a comprehensive overview of data mining, a field that deals with the extraction of knowledge from data. It valuable resource for anyone looking to learn about data mining techniques.
Provides a comprehensive overview of cloud computing, a field that deals with the delivery of computing services over the internet. It valuable resource for anyone looking to learn about cloud computing.
Save
Provides a comprehensive overview of data visualization, a field that deals with the graphical representation of data. It valuable resource for anyone looking to learn about data visualization.
Provides a comprehensive overview of data science for business, a field that deals with the use of data to improve business decision-making. It valuable resource for anyone looking to learn about data science for business.
Provides a comprehensive overview of data science from scratch, using Python. It valuable resource for anyone looking to learn about data science from the ground up.
Provides a comprehensive overview of statistical learning, a field that deals with the use of data to make predictions. It valuable resource for anyone looking to learn about statistical learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/75lrdp/building
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