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Using BigQuery and Cloud Logging to Analyze BigQuery Usage

This is a self-paced lab that takes place in the Google Cloud console. In this lab you view the BigQuery logs inside Cloud Logging, set up a sink to export them back into BigQuery, and then use SQL to analyze the logs.

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What's inside

Syllabus

Using BigQuery and Cloud Logging to Analyze BigQuery Usage

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops skills and knowledge highly useful for personal growth and development

Emphasizes the practical use of BigQuery and Cloud Logging, making it highly relevant to industry

Strong reputation of instructor Google Cloud Training, recognized for their work in the field

Teaches skills and knowledge highly relevant to industry

Offers hands-on labs and interactive materials, providing valuable practical experience

Builds a strong foundation, making it ideal for beginners

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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 Using BigQuery and Cloud Logging to Analyze BigQuery Usage with these activities:

Review SQL

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Reviewing SQL will solidify your foundational knowledge of the language and prepare you to use it effectively in this course.

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Review online tutorials and documentation
Complete practice exercises
Set up a simple database and practice writing queries

Connect with experts in BigQuery and data analytics

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Connecting with experts can provide you with valuable insights, guidance, and networking opportunities.

Browse courses on BigQuery

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Attend industry events or online meetups
Reach out to professionals on LinkedIn or other platforms

Follow tutorials on using BigQuery

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Following tutorials will provide you with hands-on experience and a deeper understanding of BigQuery's capabilities.

Browse courses on BigQuery

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Find tutorials from Google Cloud or other reputable sources
Follow the instructions and complete the exercises

Four other activities

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Attend a BigQuery workshop or conference

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Attending a workshop or conference will expose you to the latest BigQuery technologies and trends.

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Research and select a relevant workshop or conference
Register and attend the event

Analyze BigQuery logs using SQL

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By analyzing BigQuery logs, you will apply your skills in querying and interpreting data, which will be crucial for this course.

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Set up the lab environment
Write SQL queries to extract and analyze logs
Interpret the results to identify trends and patterns

Write a blog post or article on BigQuery best practices

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Writing a blog post will force you to synthesize your knowledge and share it with others, which is a valuable learning exercise.

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Research and gather information on best practices
Outline and write the blog post
Publish the blog post on a relevant platform

Build a dashboard to visualize BigQuery usage

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Building a dashboard will challenge you to apply your knowledge of BigQuery and data visualization to create a practical tool.

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Identify the metrics and dimensions to track
Design the dashboard layout
Use BigQuery and a visualization tool to create the dashboard

Career center

Learners who complete Using BigQuery and Cloud Logging to Analyze BigQuery Usage will develop knowledge and skills that may be useful to these careers:

Data Analyst

A Data Analyst plays a vital role in the tech industry by collecting, processing, and analyzing data. They utilize tools such as BigQuery and Cloud Logging to uncover trends and insights from large datasets. By completing this course, learners can develop the skills necessary to effectively analyze BigQuery logs and enhance their proficiency as Data Analysts.

See salaries and explore the career path for Data Analyst

Data Engineer

Data Engineers design, build, and maintain data pipelines to ensure data integrity and accessibility for various business needs. This course provides a solid foundation for Data Engineers by introducing them to BigQuery and Cloud Logging, enabling them to efficiently manage and analyze BigQuery logs, a critical aspect of data engineering.

See salaries and explore the career path for Data Engineer

Data Scientist

Data Scientists leverage data to drive decision-making and solve complex business problems. This course enhances their ability to analyze BigQuery logs effectively using BigQuery and Cloud Logging. By gaining insights from these logs, Data Scientists can refine their models, identify anomalies, and improve the accuracy of their predictions.

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Business Analyst

Business Analysts bridge the gap between business needs and technical solutions. This course equips Business Analysts with the skills to analyze BigQuery logs, enabling them to gain a deeper understanding of data usage patterns and identify areas for optimization. This knowledge empowers them to make data-driven recommendations and contribute effectively to business strategy.

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Database Administrator

Database Administrators ensure the performance and integrity of database systems. By completing this course, they can enhance their ability to monitor and troubleshoot BigQuery logs using Cloud Logging. This knowledge enables them to identify potential issues, optimize performance, and maintain the availability of BigQuery data.

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Cloud Architect

Cloud Architects design, implement, and manage cloud computing solutions. This course provides Cloud Architects with a comprehensive understanding of how to analyze BigQuery logs using BigQuery and Cloud Logging. By gaining insights from these logs, they can make informed decisions about cloud resource allocation, performance optimization, and cost management.

See salaries and explore the career path for Cloud Architect

Systems Engineer

Systems Engineers ensure the reliability and efficiency of computer systems. This course enhances their ability to monitor and analyze BigQuery logs using Cloud Logging. By identifying potential issues and optimizing performance, Systems Engineers can maintain the stability and availability of BigQuery systems.

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Software Engineer

Software Engineers design, develop, and maintain software applications. This course may be useful for Software Engineers who work with BigQuery and need to analyze usage patterns, identify errors, and optimize performance. By gaining insights from BigQuery logs, they can improve the quality and efficiency of their software.

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Product Manager

Product Managers define the vision and roadmap for technology products. This course may be helpful for Product Managers responsible for BigQuery-based products. By understanding BigQuery usage patterns and analyzing logs, they can make informed decisions about product features, prioritize enhancements, and improve customer satisfaction.

See salaries and explore the career path for Product Manager

Marketing Analyst

Marketing Analysts measure the effectiveness of marketing campaigns and provide insights to drive business growth. This course may be useful for Marketing Analysts who need to analyze BigQuery logs to track website traffic, user behavior, and campaign performance. By understanding how users interact with BigQuery, they can optimize marketing strategies and improve results.

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Financial Analyst

Financial Analysts evaluate financial data to make investment recommendations and provide insights for business decision-making. This course may be useful for Financial Analysts who need to analyze BigQuery logs to track financial transactions, identify trends, and assess risk. By understanding BigQuery usage patterns, they can improve financial models and make more informed decisions.

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Risk Analyst

Risk Analysts identify and assess risks to an organization's operations, reputation, and financial stability. This course may be useful for Risk Analysts who need to analyze BigQuery logs to monitor security events, identify vulnerabilities, and develop mitigation strategies. By understanding BigQuery usage patterns, they can improve risk management and protect the organization from potential threats.

See salaries and explore the career path for Risk Analyst

Operations Manager

Operations Managers oversee the day-to-day operations of an organization, ensuring efficiency and productivity. This course may be useful for Operations Managers responsible for BigQuery infrastructure. By analyzing BigQuery logs, they can identify performance bottlenecks, optimize resource allocation, and ensure the smooth running of BigQuery systems.

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Information Security Analyst

Information Security Analysts protect an organization's information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may be useful for Information Security Analysts who need to analyze BigQuery logs to detect security breaches, investigate incidents, and improve security measures. By understanding BigQuery usage patterns, they can identify potential vulnerabilities and enhance the security of BigQuery systems.

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IT Auditor

IT Auditors evaluate the effectiveness of an organization's internal controls over information systems. This course may be useful for IT Auditors who need to analyze BigQuery logs to assess compliance with regulations, standards, and policies. By understanding BigQuery usage patterns, they can identify areas of non-compliance and recommend improvements to the organization's IT systems.

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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 Using BigQuery and Cloud Logging to Analyze BigQuery Usage.

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Provides a comprehensive overview of data management in the cloud. It covers topics such as data storage, data processing, and data analysis. It valuable resource for anyone who wants to learn more about data management in the cloud.

Using BigQuery and Cloud Logging to Analyze BigQuery Usage

What's inside

Syllabus

Good to know

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Activities

Career center

Reading list

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