![[01/Quickstart/01]](https://images.unsplash.com/photo-1565077744449-04961a45ec61?ixid=M3w0MjA4MDF8MHwxfHNlYXJjaHwyMHx8QXBhY2hlJTIwSGl2ZSUyMGRhdGElMjB3YXJlaG91c2UlMjBkaXN0cmlidXRlZCUyMHN0b3JhZ2UlMjBTUUx8ZW58MXwwfHx8MTcwNTUxODk0Nnww&ixlib=rb-4.0.3&w=800&fit=crop&h=300&q=75&fm=webp)
Podcast
Questions and Answers
Which of the following best describes the purpose of a SQL API in Flow.BI?
Which of the following best describes the purpose of a SQL API in Flow.BI?
- To serve as a client identifier for multiple customers
- To provide experimental access to raw data from the repository for custom dashboards and ad-hoc queries (correct)
- To join instances in a dashboard
- To create multiple data warehouse solutions separated by a context
What is the purpose of multi-tenancy in Flow.BI?
What is the purpose of multi-tenancy in Flow.BI?
- To organize clients in a hierarchy
- To identify clients globally by a UUID
- To allow Flow.BI to serve multiple customers from the same infrastructure (correct)
- To create multiple data warehouse solutions separated by a context
How is a client identified in Flow.BI?
How is a client identified in Flow.BI?
- By a service contract
- By an instance
- By a UUID
- By a client id (correct)
What does an instance represent in Flow.BI?
What does an instance represent in Flow.BI?
What is the purpose of a snapshot in Flow.BI?
What is the purpose of a snapshot in Flow.BI?
What is the underlying concept for the data warehouse automation in Flow.BI?
What is the underlying concept for the data warehouse automation in Flow.BI?
How does Flow.BI model the data in the Data Vault 2.0 model?
How does Flow.BI model the data in the Data Vault 2.0 model?
Which of the following best describes Flow.BI?
Which of the following best describes Flow.BI?
What advantage does Flow.BI have over standalone tools like Wherescape, Vaultspeed, or dbt?
What advantage does Flow.BI have over standalone tools like Wherescape, Vaultspeed, or dbt?
What is the difference between Flow.BI and traditional data warehousing solutions?
What is the difference between Flow.BI and traditional data warehousing solutions?
Which tools can Flow.BI deliver metadata to for data warehouse automation?
Which tools can Flow.BI deliver metadata to for data warehouse automation?
What does Flow.BI automate in the data warehouse setup process?
What does Flow.BI automate in the data warehouse setup process?
What type of data concepts does Flow.BI integrate better with?
What type of data concepts does Flow.BI integrate better with?
What is the main advantage of using Flow.BI for data warehousing?
What is the main advantage of using Flow.BI for data warehousing?
Which approach is often used to avoid the overhead and non-agility of traditional data warehouse solutions?
Which approach is often used to avoid the overhead and non-agility of traditional data warehouse solutions?
What is one disadvantage of a pure data lake approach?
What is one disadvantage of a pure data lake approach?
What advantage does Flow.BI offer in terms of data warehousing?
What advantage does Flow.BI offer in terms of data warehousing?
What does the resulting data model from Flow.BI allow for?
What does the resulting data model from Flow.BI allow for?
What security feature does Flow.BI support?
What security feature does Flow.BI support?
Which tools turn the logical model from Flow.BI into a physical model?
Which tools turn the logical model from Flow.BI into a physical model?
What can the generated logical model from Flow.BI be used for?
What can the generated logical model from Flow.BI be used for?
Which concept does Flow.BI use to build new ships for data warehousing?
Which concept does Flow.BI use to build new ships for data warehousing?
What terms does Flow.BI hide from the user interface for business users?
What terms does Flow.BI hide from the user interface for business users?
How does Flow.BI refer to the hidden terms in the user interface for business users?
How does Flow.BI refer to the hidden terms in the user interface for business users?
What can users do if they are more familiar with Data Vault 2.0?
What can users do if they are more familiar with Data Vault 2.0?
What is the purpose of Data Vault 2.0 in Flow.BI?
What is the purpose of Data Vault 2.0 in Flow.BI?
Which article from the technical user documentation describes the Flow.BI architecture by comparing it to the Data Vault 2.0 reference architecture?
Which article from the technical user documentation describes the Flow.BI architecture by comparing it to the Data Vault 2.0 reference architecture?
What does Flow.BI use to automate the data warehouse building process?
What does Flow.BI use to automate the data warehouse building process?
What is the analogy used to explain the process of applying business rules in data warehousing?
What is the analogy used to explain the process of applying business rules in data warehousing?
What does Flow.BI promise to build with Data Vault 2.0?
What does Flow.BI promise to build with Data Vault 2.0?
Which of the following tools does Flow.BI deliver metadata to for data warehouse automation?
Which of the following tools does Flow.BI deliver metadata to for data warehouse automation?
What is the advantage of Flow.BI over standalone tools like Wherescape, Vaultspeed, or dbt?
What is the advantage of Flow.BI over standalone tools like Wherescape, Vaultspeed, or dbt?
What type of data sources does Flow.BI integrate and historize data from?
What type of data sources does Flow.BI integrate and historize data from?
What is the modeling approach of Flow.BI for data warehousing?
What is the modeling approach of Flow.BI for data warehousing?
What is the benefit of Flow.BI's data-driven data models?
What is the benefit of Flow.BI's data-driven data models?
What does Flow.BI automate in the data warehouse setup process?
What does Flow.BI automate in the data warehouse setup process?
What is the main advantage of using Flow.BI for data warehousing?
What is the main advantage of using Flow.BI for data warehousing?
Which of the following is NOT a capability of Flow.BI?
Which of the following is NOT a capability of Flow.BI?
What is one advantage of using Flow.BI for data warehousing?
What is one advantage of using Flow.BI for data warehousing?
What does Flow.BI support in terms of security?
What does Flow.BI support in terms of security?
What is one disadvantage of a pure data lake approach?
What is one disadvantage of a pure data lake approach?
What is the main purpose of the generated logical model from Flow.BI?
What is the main purpose of the generated logical model from Flow.BI?
What does Flow.BI use to speed up the development process of the analytical data platform?
What does Flow.BI use to speed up the development process of the analytical data platform?
Which tools turn the logical model from Flow.BI into a physical model?
Which tools turn the logical model from Flow.BI into a physical model?
Which of the following best describes the purpose of a snapshot in Flow.BI?
Which of the following best describes the purpose of a snapshot in Flow.BI?
What is the main advantage of using Flow.BI for data warehousing?
What is the main advantage of using Flow.BI for data warehousing?
What does Flow.BI promise to build with Data Vault 2.0?
What does Flow.BI promise to build with Data Vault 2.0?
What is the purpose of multi-tenancy in Flow.BI?
What is the purpose of multi-tenancy in Flow.BI?
What is the purpose of a SQL API in Flow.BI?
What is the purpose of a SQL API in Flow.BI?
What does Flow.BI use to automate the data warehouse building process?
What does Flow.BI use to automate the data warehouse building process?
How does Flow.BI model the data in the Data Vault 2.0 model?
How does Flow.BI model the data in the Data Vault 2.0 model?
Which approach does Flow.BI use to automate the data warehouse setup process?
Which approach does Flow.BI use to automate the data warehouse setup process?
What terms does Flow.BI hide from the user interface for business users?
What terms does Flow.BI hide from the user interface for business users?
What is the analogy used to explain the process of applying business rules in data warehousing?
What is the analogy used to explain the process of applying business rules in data warehousing?
What is the purpose of multi-tenancy in Flow.BI?
What is the purpose of multi-tenancy in Flow.BI?
What does Flow.BI promise to build with Data Vault 2.0?
What does Flow.BI promise to build with Data Vault 2.0?
How does Flow.BI refer to the hidden terms in the user interface for business users?
How does Flow.BI refer to the hidden terms in the user interface for business users?
What is the main advantage of using Flow.BI for data warehousing?
What is the main advantage of using Flow.BI for data warehousing?
What is the underlying concept for the data warehouse automation in Flow.BI?
What is the underlying concept for the data warehouse automation in Flow.BI?
Which article from the technical user documentation describes the Flow.BI architecture by comparing it to the Data Vault 2.0 reference architecture?
Which article from the technical user documentation describes the Flow.BI architecture by comparing it to the Data Vault 2.0 reference architecture?
Flow.BI is a data warehouse solution.
Flow.BI is a data warehouse solution.
Flow.BI automates the design decisions of setting up the data model for data warehouse solutions.
Flow.BI automates the design decisions of setting up the data model for data warehouse solutions.
Flow.BI delivers the metadata for the automated data warehouse model to data warehouse automation tools like Wherescape, Vaultspeed, and dbt.
Flow.BI delivers the metadata for the automated data warehouse model to data warehouse automation tools like Wherescape, Vaultspeed, and dbt.
Flow.BI models data-driven data models, allowing for multiple business perspectives and integration with Big Data concepts.
Flow.BI models data-driven data models, allowing for multiple business perspectives and integration with Big Data concepts.
Flow.BI requires the user to manually analyze data sources and define security and privacy levels.
Flow.BI requires the user to manually analyze data sources and define security and privacy levels.
Flow.BI offers more automation and flexibility compared to traditional conceptual data warehouse solutions.
Flow.BI offers more automation and flexibility compared to traditional conceptual data warehouse solutions.
Flow.BI is not compatible with schema-on-read, real-time processing, and NoSQL databases.
Flow.BI is not compatible with schema-on-read, real-time processing, and NoSQL databases.
True or false: Data lakes are used to avoid the overhead and non-agility of traditional data warehouse solutions.
True or false: Data lakes are used to avoid the overhead and non-agility of traditional data warehouse solutions.
True or false: Organizations that leverage a pure data lake approach often face inconsistencies in information delivery.
True or false: Organizations that leverage a pure data lake approach often face inconsistencies in information delivery.
True or false: Flow.BI integrates data warehousing and data lakes to provide a middle ground solution.
True or false: Flow.BI integrates data warehousing and data lakes to provide a middle ground solution.
True or false: Flow.BI allows the application of multiple different business perspectives to the data model.
True or false: Flow.BI allows the application of multiple different business perspectives to the data model.
True or false: Flow.BI supports cell-level security to meet the highest security standards.
True or false: Flow.BI supports cell-level security to meet the highest security standards.
True or false: Flow.BI supports data models that allow the reduction or deletion of personal data to comply with regulations.
True or false: Flow.BI supports data models that allow the reduction or deletion of personal data to comply with regulations.
True or false: Flow.BI drastically speeds up the overall development process of the analytical data platform.
True or false: Flow.BI drastically speeds up the overall development process of the analytical data platform.
Flow.BI uses Data Vault 2.0 as a tool to build the data analytics platform.
Flow.BI uses Data Vault 2.0 as a tool to build the data analytics platform.
Flow.BI hides terms like hubs, links, and satellites in the user interface for business users.
Flow.BI hides terms like hubs, links, and satellites in the user interface for business users.
Flow.BI can be switched to a Data Vault 2.0 tool for technical users.
Flow.BI can be switched to a Data Vault 2.0 tool for technical users.
The Flow.BI architecture is compared to the Data Vault 2.0 reference architecture in one of the articles from the technical user documentation.
The Flow.BI architecture is compared to the Data Vault 2.0 reference architecture in one of the articles from the technical user documentation.
Data Vault 2.0 is a fully automated process in Flow.BI.
Data Vault 2.0 is a fully automated process in Flow.BI.
Flow.BI uses business-like terms like business keys, relationships, and descriptive data instead of hubs, links, and satellites.
Flow.BI uses business-like terms like business keys, relationships, and descriptive data instead of hubs, links, and satellites.
Flow.BI builds new ships for all incoming models from all kids in the neighborhood.
Flow.BI builds new ships for all incoming models from all kids in the neighborhood.
Flow.BI offers a user interface specifically designed for business users.
Flow.BI offers a user interface specifically designed for business users.
Data Vault 2.0 is the main tool used by Flow.BI to build the data analytics platform.
Data Vault 2.0 is the main tool used by Flow.BI to build the data analytics platform.
The SQL API in Flow.BI allows users to access raw data from the repository for custom dashboards and ad-hoc queries.
The SQL API in Flow.BI allows users to access raw data from the repository for custom dashboards and ad-hoc queries.
Multi-tenancy in Flow.BI is implemented using a client and an instance.
Multi-tenancy in Flow.BI is implemented using a client and an instance.
Each client in Flow.BI is globally identified by a UUID.
Each client in Flow.BI is globally identified by a UUID.
An instance in Flow.BI represents a data warehouse solution that is completely separated from other instances.
An instance in Flow.BI represents a data warehouse solution that is completely separated from other instances.
A snapshot in Flow.BI represents a version of an instance that has been deployed for a while.
A snapshot in Flow.BI represents a version of an instance that has been deployed for a while.
Flow.BI follows a data-driven modeling style of Data Vault 2.0.
Flow.BI follows a data-driven modeling style of Data Vault 2.0.
Data Vault 2.0 captures three fundamental components of data: business keys, relationships, and descriptive data.
Data Vault 2.0 captures three fundamental components of data: business keys, relationships, and descriptive data.
Flow.BI is a data warehouse solution that automates the design decisions of setting up the data model for such solutions.
Flow.BI is a data warehouse solution that automates the design decisions of setting up the data model for such solutions.
Flow.BI delivers the metadata for the automated data warehouse model to data warehouse automation tools like Wherescape, Vaultspeed, and dbt.
Flow.BI delivers the metadata for the automated data warehouse model to data warehouse automation tools like Wherescape, Vaultspeed, and dbt.
Flow.BI models data-driven data models, allowing for multiple business perspectives and integration with Big Data concepts.
Flow.BI models data-driven data models, allowing for multiple business perspectives and integration with Big Data concepts.
Flow.BI requires the user to manually analyze data sources and define security and privacy levels.
Flow.BI requires the user to manually analyze data sources and define security and privacy levels.
Flow.BI uses business-like terms like business keys, relationships, and descriptive data instead of hubs, links, and satellites.
Flow.BI uses business-like terms like business keys, relationships, and descriptive data instead of hubs, links, and satellites.
Flow.BI offers a user interface specifically designed for business users.
Flow.BI offers a user interface specifically designed for business users.
Data lakes are used to avoid the overhead and non-agility of traditional data warehouse solutions.
Data lakes are used to avoid the overhead and non-agility of traditional data warehouse solutions.
True or false: Data lakes are often used to avoid the overhead and non-agility of traditional data warehouse solutions.
True or false: Data lakes are often used to avoid the overhead and non-agility of traditional data warehouse solutions.
True or false: Flow.BI integrates data warehousing and data lakes to provide a versatile information production.
True or false: Flow.BI integrates data warehousing and data lakes to provide a versatile information production.
True or false: The resulting data model from Flow.BI allows the application of multiple different business perspectives.
True or false: The resulting data model from Flow.BI allows the application of multiple different business perspectives.
True or false: Flow.BI supports cell-level security to meet the highest security standards.
True or false: Flow.BI supports cell-level security to meet the highest security standards.
True or false: The generated data model from Flow.BI supports data models that allow the reduction or deletion of personal data, in compliance with regulations like GDPR and HIPAA.
True or false: The generated data model from Flow.BI supports data models that allow the reduction or deletion of personal data, in compliance with regulations like GDPR and HIPAA.
True or false: Flow.BI drastically speeds up the overall development process of the analytical data platform.
True or false: Flow.BI drastically speeds up the overall development process of the analytical data platform.
True or false: Flow.BI includes the loading scripts from Flow.BI's repository to the Data Vault automation tools.
True or false: Flow.BI includes the loading scripts from Flow.BI's repository to the Data Vault automation tools.
Flow.BI uses Data Vault 2.0 as a tool to build the data analytics platform.
Flow.BI uses Data Vault 2.0 as a tool to build the data analytics platform.
Flow.BI can be switched to a Data Vault 2.0 tool for technical users.
Flow.BI can be switched to a Data Vault 2.0 tool for technical users.
Flow.BI builds new ships for all incoming models from all kids in the neighborhood.
Flow.BI builds new ships for all incoming models from all kids in the neighborhood.
Flow.BI models data-driven data models, allowing for multiple business perspectives and integration with Big Data concepts.
Flow.BI models data-driven data models, allowing for multiple business perspectives and integration with Big Data concepts.
Each client in Flow.BI is globally identified by a UUID.
Each client in Flow.BI is globally identified by a UUID.
Flow.BI supports cell-level security to meet the highest security standards.
Flow.BI supports cell-level security to meet the highest security standards.
A snapshot in Flow.BI represents a version of an instance that has been deployed for a while.
A snapshot in Flow.BI represents a version of an instance that has been deployed for a while.
Flow.BI uses business-like terms like business keys, relationships, and descriptive data instead of hubs, links, and satellites.
Flow.BI uses business-like terms like business keys, relationships, and descriptive data instead of hubs, links, and satellites.
Which tools turn the logical model from Flow.BI into a physical model?
Which tools turn the logical model from Flow.BI into a physical model?
True or false: A SQL API in Flow.BI allows users to access raw data from the repository for custom dashboards and ad-hoc queries.
True or false: A SQL API in Flow.BI allows users to access raw data from the repository for custom dashboards and ad-hoc queries.
True or false: Flow.BI offers multi-tenancy, which is implemented by the use of a client and an instance.
True or false: Flow.BI offers multi-tenancy, which is implemented by the use of a client and an instance.
True or false: Each client in Flow.BI is globally identified by a UUID.
True or false: Each client in Flow.BI is globally identified by a UUID.
True or false: An instance in Flow.BI represents one data warehouse solution to be produced and is globally identified by a UUID.
True or false: An instance in Flow.BI represents one data warehouse solution to be produced and is globally identified by a UUID.
True or false: A snapshot in Flow.BI represents a version of an instance, which has been deployed for a while and is identified by the snapshot timestamp.
True or false: A snapshot in Flow.BI represents a version of an instance, which has been deployed for a while and is identified by the snapshot timestamp.
True or false: Flow.BI is based on Data Vault 2.0 as the underlying concept for data warehouse automation.
True or false: Flow.BI is based on Data Vault 2.0 as the underlying concept for data warehouse automation.
True or false: The Data Vault 2.0 model in Flow.BI is based on how the data is stored in the source systems, not the business.
True or false: The Data Vault 2.0 model in Flow.BI is based on how the data is stored in the source systems, not the business.
True or false: Flow.BI is a data warehouse solution.
True or false: Flow.BI is a data warehouse solution.
True or false: Flow.BI models data-driven data models, allowing for multiple business perspectives and integration with Big Data concepts.
True or false: Flow.BI models data-driven data models, allowing for multiple business perspectives and integration with Big Data concepts.
True or false: Each client in Flow.BI is globally identified by a UUID.
True or false: Each client in Flow.BI is globally identified by a UUID.
True or false: A snapshot in Flow.BI represents a version of an instance, which has been deployed for a while and is identified by the snapshot timestamp.
True or false: A snapshot in Flow.BI represents a version of an instance, which has been deployed for a while and is identified by the snapshot timestamp.
True or false: The generated data model from Flow.BI supports data models that allow the reduction or deletion of personal data, in compliance with regulations like GDPR and HIPAA.
True or false: The generated data model from Flow.BI supports data models that allow the reduction or deletion of personal data, in compliance with regulations like GDPR and HIPAA.
True or false: The resulting data model from Flow.BI allows the application of multiple different business perspectives.
True or false: The resulting data model from Flow.BI allows the application of multiple different business perspectives.
True or false: The SQL API in Flow.BI allows users to access raw data from the repository for custom dashboards and ad-hoc queries.
True or false: The SQL API in Flow.BI allows users to access raw data from the repository for custom dashboards and ad-hoc queries.
True or false: Data lakes are used to avoid the overhead and non-agility of traditional data warehouse solutions.
True or false: Data lakes are used to avoid the overhead and non-agility of traditional data warehouse solutions.
True or false: The resulting data model from Flow.BI allows the application of multiple different business perspectives.
True or false: The resulting data model from Flow.BI allows the application of multiple different business perspectives.
True or false: Flow.BI offers a user interface specifically designed for business users.
True or false: Flow.BI offers a user interface specifically designed for business users.
True or false: Flow.BI automates the design decisions of setting up the data model for data warehouse solutions.
True or false: Flow.BI automates the design decisions of setting up the data model for data warehouse solutions.
True or false: A SQL API in Flow.BI allows users to access raw data from the repository for custom dashboards and ad-hoc queries.
True or false: A SQL API in Flow.BI allows users to access raw data from the repository for custom dashboards and ad-hoc queries.
True or false: The Data Vault 2.0 model in Flow.BI is based on how the data is stored in the source systems, not the business.
True or false: The Data Vault 2.0 model in Flow.BI is based on how the data is stored in the source systems, not the business.
True or false: A pure data lake approach is a disadvantage in terms of information delivery consistency.
True or false: A pure data lake approach is a disadvantage in terms of information delivery consistency.
True or false: Flow.BI's multi-tenancy is implemented by the use of a client and an instance.
True or false: Flow.BI's multi-tenancy is implemented by the use of a client and an instance.
True or false: Each client in Flow.BI is globally identified by a UUID.
True or false: Each client in Flow.BI is globally identified by a UUID.
True or false: An instance in Flow.BI represents one data warehouse solution and is globally identified by a UUID.
True or false: An instance in Flow.BI represents one data warehouse solution and is globally identified by a UUID.
True or false: A snapshot in Flow.BI represents a version of an instance that has been deployed for a while.
True or false: A snapshot in Flow.BI represents a version of an instance that has been deployed for a while.
True or false: Flow.BI follows a data-driven modeling style of Data Vault 2.0.
True or false: Flow.BI follows a data-driven modeling style of Data Vault 2.0.
True or false: Data Vault 2.0 is based on the fact that all data, including enterprise data, consists of four fundamental components.
True or false: Data Vault 2.0 is based on the fact that all data, including enterprise data, consists of four fundamental components.
True or false: Flow.BI integrates business-like terms like hubs, links, and satellites in its user interface.
True or false: Flow.BI integrates business-like terms like hubs, links, and satellites in its user interface.
True or false: Flow.BI uses Data Vault 2.0 as a tool to build the data analytics platform.
True or false: Flow.BI uses Data Vault 2.0 as a tool to build the data analytics platform.
True or false: Flow.BI hides terms like hubs, links, and satellites in the user interface for business users.
True or false: Flow.BI hides terms like hubs, links, and satellites in the user interface for business users.
True or false: Flow.BI offers a user interface specifically designed for business users.
True or false: Flow.BI offers a user interface specifically designed for business users.
True or false: Flow.BI drastically speeds up the overall development process of the analytical data platform.
True or false: Flow.BI drastically speeds up the overall development process of the analytical data platform.
True or false: Flow.BI integrates data warehousing and data lakes to provide a middle ground solution.
True or false: Flow.BI integrates data warehousing and data lakes to provide a middle ground solution.
True or false: The resulting data model from Flow.BI allows the application of multiple different business perspectives.
True or false: The resulting data model from Flow.BI allows the application of multiple different business perspectives.
True or false: Flow.BI supports data models that allow the reduction or deletion of personal data to comply with regulations.
True or false: Flow.BI supports data models that allow the reduction or deletion of personal data to comply with regulations.
True or false: Each client in Flow.BI is globally identified by a UUID.
True or false: Each client in Flow.BI is globally identified by a UUID.
True or false: Flow.BI supports cell-level security to meet the highest security standards.
True or false: Flow.BI supports cell-level security to meet the highest security standards.
Match the following terms from Flow.BI with their correct definitions:
Match the following terms from Flow.BI with their correct definitions:
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