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Analyze BigQuery Usage with Log Analytics

Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. Use Log Analytics for in-depth usage logs analysis through SQL querires from the Cloud Logging page.

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Syllabus

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Reviews summary

Hands-on bigquery log analytics lab

According to learners, this course offers a highly practical and hands-on experience for analyzing BigQuery usage logs through Log Analytics in the Google Cloud console. Students frequently highlight the value of the step-by-step guidance and the immediate applicability of running SQL queries on Cloud Logging data. While largely positive, some noted that a foundational understanding of SQL and Google Cloud concepts is beneficial, as the lab focuses on application rather than basic theory. Overall, it is praised as a focused and effective self-paced lab for professionals seeking to enhance their cloud data analysis skills.
A concentrated lab, not a broad theoretical course.
"It's a focused lab, so don't expect a deep dive into BigQuery itself, but for log analysis, it's perfect."
"Solid content, very specific to using Log Analytics for BigQuery usage. It's a lab, not a full course."
"This is a self-paced lab, delivering practical skills without extensive background theory."
Provides clear, step-by-step guidance for lab exercises.
"I appreciated the clear, step-by-step instructions. It really demystified Log Analytics in Google Cloud."
"The guided steps were excellent, making it easy to follow along even with complex tasks."
"The exercises are clear and concise, making the self-paced format very effective."
Offers valuable hands-on experience with real-world scenarios.
"This lab was incredibly useful for understanding how to analyze BigQuery logs. The hands-on experience was key."
"A great practical lab. It gave me exactly what I needed to start querying BigQuery usage logs."
"As a data analyst, this course helped me immensely. Being able to run SQL queries on Cloud Logging data directly in BigQuery is a powerful feature I didn't fully grasp until this lab."
Assumes basic familiarity with SQL and Google Cloud.
"You definitely need a basic understanding of SQL and Google Cloud concepts beforehand. It doesn't hold your hand much on the foundational stuff."
"I struggled a bit with the setup, and felt like some initial context on BigQuery logging concepts would have been useful. It assumes you already know a fair bit."
"If you have the prerequisites, it's a solid practical exercise, but don't go in blind."

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 Analyze BigQuery Usage with Log Analytics with these activities:
Review SQL syntax
Review SQL syntax to ensure that you have a solid understanding of the basics before starting the course.
Browse courses on SQL
Show steps
  • Go through your notes or textbooks and review the basic syntax of SQL.
  • Try out some simple SQL queries on your own to test your understanding.
Compilation of Log Analytics resources
Create a compilation of useful Log Analytics resources, including documentation, tutorials, and sample queries, for future reference.
Browse courses on Log Analytics
Show steps
  • Search for and gather relevant resources from the Log Analytics documentation, online forums, and other sources.
  • Organize the resources into a coherent collection, such as a document or a website.
  • Share the compilation with other learners or colleagues who are interested in Log Analytics.
Analyze BigQuery usage logs using the Google Cloud Platform console
Practicing analyzing BigQuery usage logs using the Google Cloud Platform console will help you develop proficiency with the skills and knowledge taught in this course.
Browse courses on Google Cloud Logging
Show steps
  • Log into the Google Cloud Platform console.
  • Navigate to the Log Analytics page.
  • Select the BigQuery usage logs.
  • Write a query to analyze the logs.
  • Analyze the results.
11 other activities
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Attend Log Analytics networking events
Participate in Log Analytics networking events to connect with professionals in the field, learn about industry trends, and expand your knowledge.
Browse courses on Log Analytics
Show steps
  • Identify and attend Log Analytics networking events, such as conferences, meetups, or online forums.
  • Engage with other attendees, asking questions, sharing experiences, and exchanging ideas.
  • Follow up with interesting contacts made at the events to continue the conversation and build professional relationships.
Attend Log Analytics workshops
Attend Log Analytics workshops led by experts to gain hands-on experience and learn from industry best practices.
Browse courses on Log Analytics
Show steps
  • Research and identify Log Analytics workshops offered by reputable organizations or individuals.
  • Register for and attend the workshops that align with your learning goals.
  • Actively participate in the workshops, asking questions, sharing insights, and implementing new techniques.
Write SQL queries to analyze BigQuery usage logs
Practice writing SQL queries to analyze BigQuery usage logs will help you develop proficiency with the skills and knowledge taught in this course.
Browse courses on Google Cloud Logging
Show steps
  • Connect to the Google Cloud Logging console.
  • Identify the BigQuery usage logs.
  • Write a SQL query to analyze the BigQuery usage logs.
  • Execute the query and analyze the results.
Follow tutorials on advanced Log Analytics techniques
Following tutorials on advanced Log Analytics techniques will help you expand your knowledge and skills beyond what is covered in this course.
Browse courses on Log Analytics
Show steps
  • Search for tutorials on advanced Log Analytics techniques.
  • Select a tutorial that fits your skill level.
  • Follow the tutorial step-by-step.
  • Experiment with the techniques you learn.
Practice Log Analytics queries
Practice writing SQL queries in Log Analytics to improve your understanding of how to analyze usage logs.
Browse courses on Log Analytics
Show steps
  • Go through the Log Analytics documentation and familiarize yourself with the syntax.
  • Try out some sample queries provided in the documentation.
  • Come up with your own queries to analyze usage logs for your own applications.
Explore advanced Log Analytics features
Explore advanced features of Log Analytics to enhance your log analysis capabilities.
Browse courses on Log Analytics
Show steps
  • Go through the Log Analytics documentation to learn about advanced features such as aggregation, filtering, and grouping.
  • Follow tutorials or online courses to learn how to use these features effectively.
  • Experiment with these features on your own to gain practical experience.
Create a presentation on how to use Log Analytics
Creating a presentation on how to use Log Analytics will help you solidify your understanding of the concepts and skills taught in this course.
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Show steps
  • Gather your research on Log Analytics.
  • Outline your presentation.
  • Create your presentation slides.
  • Practice your presentation.
  • Deliver your presentation.
Analyze BigQuery usage using Log Analytics
Analyze BigQuery usage using Log Analytics to gain insights into how your applications are using BigQuery.
Browse courses on BigQuery
Show steps
  • Identify the BigQuery usage logs that you need to analyze.
  • Write SQL queries in Log Analytics to extract the relevant data from the logs.
  • Analyze the data to identify trends and patterns in BigQuery usage.
  • Create a report or presentation to summarize your findings.
Build a dashboard to track BigQuery usage
Building a dashboard to track BigQuery usage will help you apply the skills and knowledge you learn in this course to a real-world project.
Browse courses on Cloud Logging
Show steps
  • Design your dashboard.
  • Gather the data you need.
  • Build your dashboard using a tool like Google Data Studio.
  • Deploy your dashboard.
Mentor other learners in Log Analytics
Share your knowledge and experience with other learners by mentoring them in Log Analytics, fostering a supportive learning environment.
Browse courses on Log Analytics
Show steps
  • Identify opportunities to mentor other learners, such as through online forums or study groups.
  • Provide guidance and support to mentees, answering their questions and sharing your insights.
  • Encourage mentees to actively participate in discussions and share their own knowledge.
Contribute to open-source Log Analytics projects
Make meaningful contributions to open-source Log Analytics projects to enhance your understanding and support the community.
Browse courses on Log Analytics
Show steps
  • Identify open-source Log Analytics projects that align with your interests and skills.
  • Review the project documentation and codebase to familiarize yourself with the project.
  • Propose and implement improvements or new features to the project.
  • Collaborate with other contributors to ensure code quality and project alignment.

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Course image
Effort
90 minutes
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Traffic lights
Read about what's good
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and possible dealbreakers
Analyzes BigQuery usage data logs
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