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BigQuery Fundamentals for Oracle Professionals

Google Cloud

This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Oracle and want to begin working in BigQuery.

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This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Oracle and want to begin working in BigQuery.

This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Oracle and want to begin working in BigQuery. Through interactive lecture content and hands-on labs, you learn how to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery. Drawing upon your knowledge of Oracle, you also learn about similarities and differences between Oracle and BigQuery to help you get started with data warehouses in BigQuery. After this course, you can continue your BigQuery journey by completing the skill badge quest titled https://www.cloudskillsboost.google/quests/147">Build and Optimize Data Warehouses with BigQuery.

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What's inside

Syllabus

BigQuery Architecture and Resource Provisioning
BigQuery Data Definition Model
BigQuery and Google Cloud IAM
BigQuery Data Ingestion
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BigQuery Schema Design and Optimization
SQL in BigQuery
Course Resources

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Designed for professionals familiar with Oracle cloud data warehouses who seek to migrate to BigQuery
Provides a strong foundation for professionals transitioning from Oracle to BigQuery
Interactive lecture content and hands-on labs enhance practical understanding of BigQuery
Helps learners optimize query performance, a critical aspect of data warehousing
Covers essential aspects of BigQuery architecture, such as resource provisioning and data ingestion
Provides insights into similarities and differences between Oracle and BigQuery, easing the transition

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Activities

Coming soon We're preparing activities for BigQuery Fundamentals for Oracle Professionals. These are activities you can do either before, during, or after a course.

Career center

Learners who complete BigQuery Fundamentals for Oracle Professionals will develop knowledge and skills that may be useful to these careers:
Data Scientist
A Data Scientist who has taken this course will be able to leverage their knowledge of SQL-based cloud data warehouses in Oracle as they begin working in BigQuery. You will be able to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery.
Data Engineer
A Data Engineer, aided by this course, can get started with data warehouses in BigQuery by leveraging their knowledge of Oracle. You will be able to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery.
Data Analyst
A Data Analyst gathers, analyzes, interprets, and presents data. In this role, you will apply SQL in BigQuery. You will also learn BigQuery Architecture and Resource Provisioning in order to use data to make informed decisions.
Database Administrator
This course may help a Database Administrator get started with data warehouses in BigQuery. You will learn BigQuery Architecture and Resource Provisioning.
Software Engineer
A Software Engineer with a background in SQL-based cloud data warehouses may find this course useful in learning about BigQuery. You will learn BigQuery Architecture and Resource Provisioning, and will be able to create and share data assets.
Analyst
This course may be useful to an Analyst who is transitioning to a data analysis or engineering role. You will learn the fundamentals of BigQuery, including its architecture and resource provisioning.
Business Analyst
A Business Analyst who has taken this course will be able to leverage their knowledge of SQL-based cloud data warehouses in Oracle as they begin working in BigQuery. You will be able to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery.
Database Manager
A Database Manager responsible for working with BigQuery may find this course useful. You will learn to provision resources, create and share data assets, and ingest data in BigQuery.
Data Architect
This course may be useful in helping a Data Architect build a foundation in BigQuery. You will learn to provision resources, create and share data assets, and ingest data in BigQuery.
Information Architect
An Information Architect who has taken this course will be able to leverage their knowledge of SQL-based cloud data warehouses in Oracle as they begin working in BigQuery. You will be able to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery.
Project Manager
A Project Manager may find this course useful in gaining a basic understanding of BigQuery. You will learn BigQuery Architecture and Resource Provisioning, and will be able to create and share data assets.
Information Systems Manager
An Information Systems Manager may find this course useful in learning about BigQuery. You will learn BigQuery Architecture and Resource Provisioning, and will be able to create and share data assets.
IT Manager
This course may be useful to an IT Manager who is responsible for overseeing the implementation of BigQuery. You will gain a basic understanding of BigQuery fundamentals, such as BigQuery Architecture and Resource Provisioning.
Research Analyst
A Research Analyst may find this course useful for gaining a basic understanding of how to use BigQuery to manage and analyze data.
Risk Manager
This course may be useful to a Risk Manager to gain a basic understanding of BigQuery fundamentals, such as BigQuery Architecture and Resource Provisioning.

Reading list

We've selected 12 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 BigQuery Fundamentals for Oracle Professionals.
Provides a comprehensive guide to administering Oracle Database 12c. It valuable reference for anyone who is responsible for managing Oracle databases.
Provides a comprehensive guide to using SQL and PL/SQL in Oracle databases. It valuable reference for anyone who wants to develop applications using Oracle databases.
Provides a comprehensive guide to Oracle Database security. It covers topics such as user authentication, authorization, and auditing.
Provides a comprehensive guide to optimizing Oracle performance. It covers topics such as database design, indexing, and query tuning.
Provides a comprehensive overview of data warehousing. It covers topics such as data modeling, data integration, and data quality.
Provides a comprehensive overview of the internal workings of Oracle Database. It covers topics such as memory management, I/O operations, and concurrency control.
Provides a comprehensive guide to dimensional modeling. It valuable reference for anyone who wants to learn more about how to design and build data warehouses using dimensional modeling.
Provides a comprehensive overview of machine learning. It valuable reference for anyone who wants to learn more about how to use machine learning for business and analytics.
Provides a comprehensive overview of deep learning. It valuable reference for anyone who wants to learn more about how to use deep learning for business and analytics.
Provides a comprehensive overview of natural language processing. It valuable reference for anyone who wants to learn more about how to use natural language processing for business and analytics.
Provides a comprehensive overview of reinforcement learning. It valuable reference for anyone who wants to learn more about how to use reinforcement learning for business and analytics.

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