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Questions and Answers

What main functionality does the SQL API in Flow.BI provide?

  • Maintenance of database servers
  • Automated data entry
  • Direct interaction with enterprise datasets using SQL (correct)
  • Data visualization customization

Which of the following statements is true about the SQL API's data access?

  • Allows access to external databases
  • Provides unlimited access to all enterprise data
  • Limits data availability according to user permissions (correct)
  • Requires manual approval for every data request

What type of queries can users execute through the SQL API?

  • Parameterized and custom SQL queries (correct)
  • Only basic SQL commands without parameters
  • Stored procedures from other databases
  • Only read/write operations

What is the primary purpose of row-level security (RLS) in the SQL API?

<p>To ensure users can only access their authorized data (A)</p>
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Which feature allows users to perform advanced calculations beyond standard tools?

<p>Custom Data Transformation (B)</p>
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How does the SQL API enhance dashboards and reports in Flow.BI?

<p>By acting as the backend logic for dashboard components (A)</p>
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What must users do to start using the SQL API in Flow.BI?

<p>Connect to a Data Source and set up a SQL API key (C)</p>
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What is a key benefit of using the SQL API in Flow.BI?

<p>Enhances control over data processing workflows (A)</p>
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Which of these is NOT a characteristic of the SQL API in Flow.BI?

<p>It enables real-time data feed from external sources (D)</p>
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In what way does the SQL API support data visualization?

<p>By acting as the backend for advanced visualizations through queries (A)</p>
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The SQL API in Flow.BI is read-write, allowing full data modification.

<p>False (B)</p>
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Users can execute custom queries using the SQL API to derive data sets.

<p>True (A)</p>
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Row-level security (RLS) is implemented to provide users access to all available data.

<p>False (B)</p>
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The SQL API supports parameterized queries for dynamic report filtering.

<p>True (A)</p>
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Flow.BI's SQL API documentation is optional and not embedded in the entities.

<p>False (B)</p>
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SQL API allows integration with dashboards, enhancing their capabilities.

<p>True (A)</p>
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The SQL API in Flow.BI is designed solely for use with relational datasets.

<p>False (B)</p>
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Flow.BI's SQL API is built on a MySQL database platform.

<p>False (B)</p>
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The SQL API is ideal for users looking for minimal control over data processing workflows.

<p>False (B)</p>
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Dynamic querying is a feature of the SQL API that does not support report interactivity.

<p>False (B)</p>
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Match the SQL API features in Flow.BI with their descriptions:

<p>Direct SQL Query Execution = Users can fetch and manipulate metadata using SQL. Custom Data Transformation = Advanced calculations and filtering capabilities. Dynamic Querying = Supports parameterized queries for reports. Integration with Dashboards = Fetched data can be visualized in Flow.BI dashboards.</p>
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Match the SQL API components with their functions:

<p>Row-level security (RLS) = Limits data access based on the logged-in user. SQL Editor = Built-in tool for writing and testing SQL queries. Data Source Connection = Establishes a link to a database with a SQL API key. Documentation = Provides guidance on entities and attributes.</p>
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Match the key terms related to SQL API in Flow.BI with their meanings:

<p>SQL API = A feature for executing SQL queries on enterprise data. Information Marts = Entities prefixed with 'info_'. Interface Marts = Entities prefixed with 'intf_'. Parameterized Queries = Queries that accept inputs for dynamic filtering.</p>
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Match the benefits of using the SQL API in Flow.BI with their descriptions:

<p>Tailored Data Extraction = Customize queries for specific reporting needs. Increased Control = Greater manipulation capabilities for data workflows. Enhanced Scalability = Handles large datasets effectively. Advanced Logic Integration = Incorporates complex SQL actions within the platform.</p>
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Match the types of capabilities provided by SQL API in Flow.BI to their descriptions:

<p>Read-only = Users can execute read queries only. Advanced Joins = Facilitates complex relationships across datasets. Custom Queries = Allows users to write their own specific queries. Metadata Interaction = Allows users to directly engage with the dataset's structure.</p>
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Match the SQL API attributes to their corresponding features:

<p>Reporting Engine = Built on SQL API with user-specific data access. PostgreSQL-based = Inherits functionalities from PostgreSQL. Custom Queries = Enable personalized data retrieval. Embedded Documentation = Guides users in understanding entities and attributes.</p>
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Match the SQL terms with their relevant functionalities within the SQL API:

<p>Derived Data Sets = Created using custom SQL queries. Filtering = Refines data results based on specified criteria. Aggregation = Consolidates data for summarization. Subqueries = Enables queries within other SQL queries.</p>
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Match the functionalities of the SQL API to their significance:

<p>Data Visualization = Transforms fetched data into graphical representations. Report Generation = Utilizes SQL queries as backend logic. Parameterization = Enhances report interactivity. Complex Transformations = Provides sophisticated data alterations beyond standard tools.</p>
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Match the SQL API functionalities with the user goals they support:

<p>Interactivity = Allows dynamic filtering of reports. User Customization = Empowers users to tailor reports extensively. Advanced Reporting = Facilitates detailed and complex reporting options. Security Feature = Ensures data access is limited to authorized users.</p>
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Flashcards

SQL API

A feature in Flow.BI that allows users to interact with their data using SQL queries.

Reporting engine built on SQL API

A reporting engine built on top of SQL API that restricts the data accessible to the current user.

Information marts

Data structures within Flow.BI containing information about data.

Interface marts

Data structures within Flow.BI containing information about interfaces.

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PostgreSQL-based SQL API

The SQL API in Flow.BI is based on the PostgreSQL database system.

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Custom queries in SQL API

The ability to write custom SQL queries to retrieve and manipulate data in Flow.BI.

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Read-only SQL API

The SQL API in Flow.BI is read-only, meaning data cannot be modified directly.

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Row-level security (RLS)

A security mechanism that restricts data access based on user identity.

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Embedded documentation

The SQL API in Flow.BI provides documentation embedded directly within the data structures, making it easy to understand the available data.

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Dynamic querying

The SQL API facilitates the creation of dynamic reports by allowing users to write SQL queries that can be parameterized with user input.

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What is the SQL API in Flow.BI?

Flow.BI's SQL API provides direct access to data through SQL queries, allowing users to customize data retrieval and transformation.

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What are Information Marts in Flow.BI's SQL API?

Information marts in Flow.BI's SQL API provide information about your data. For example, you might find data descriptions, sources, and schemas within these marts.

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What are Interface Marts in Flow.BI's SQL API?

Interface marts in Flow.BI's SQL API store information about interfaces, like how data is shared between systems.

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What database system underpins Flow.BI's SQL API?

Flow.BI's SQL API leverages PostgreSQL's database system, allowing users to take advantage of its robust functionality for data management.

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Is Flow.BI's SQL API read-only or writable?

The SQL API in Flow.BI is read-only, meaning that you can query data but cannot directly change or modify it.

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What security mechanism does Flow.BI's SQL API use?

Flow.BI's SQL API uses Row-Level Security (RLS) to ensure that users only have access to the data they are authorized to see.

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How are data definitions explained in Flow.BI's SQL API?

The SQL API in Flow.BI embeds documentation directly within the data structures, making it easier for users to understand the data they are working with.

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What type of queries does Flow.BI's SQL API support?

Flow.BI's SQL API supports dynamic queries, allowing users to write SQL queries that can be parameterized with user input, making reports interactive and responsive to changing data.

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How do you connect to a data source using Flow.BI's SQL API?

You can connect to a data source within Flow.BI using a SQL API key, which grants you access to the built-in SQL editor.

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What are the primary benefits of using Flow.BI's SQL API?

Flow.BI's SQL API enables tailored data extraction and transformation, providing greater control over data processing within Flow.BI.

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What is Flow.BI's SQL API?

A powerful feature within Flow.BI that allows users to directly interact with their data using SQL queries.

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Study Notes

SQL API in Flow.BI

  • Flow.BI's SQL API allows users to query metadata and enterprise data models using SQL queries within the platform.
  • Data access is limited to the logged-in user's context.
  • Based on PostgreSQL, offering all PostgreSQL functionalities, but read-only and with row-level security.
  • Includes documentation for entities and attributes embedded within the platform.
  • Provides access to information marts (e.g., info_*) and interface marts (e.g., intf_*).
  • Enables custom queries.
  • A reporting engine built on top of the SQL API, restricting data to the currently logged-in user.
  • Designed for generative AI, allowing more complex data retrieval and transformation.

Key Features

  • Direct SQL Query Execution: Users execute SQL queries for customized reporting, accessing and modifying metadata.
  • Custom Data Transformation: Enables sophisticated calculations, filtering, and aggregation beyond standard visual tools, creating custom derived datasets through SQL.
  • Dynamic Querying: Supports parameterized queries, allowing reports to accept user-inputted date ranges or filters via the interface.
  • Integration with Dashboards and Reports: Fetched data populates dashboards and reports, acting as backend logic for advanced dashboard components.
  • Scalability: Designed to handle large datasets and complex operations (joins, subqueries, and transformations).

How to Use

  • Connect to a Data Source: Obtain a Flow.BI SQL API key in the Flow.BI interface.
  • Access the SQL Editor: Use the integrated Flow.BI SQL editor.

Advantages

  • Tailored Data Extraction: Enables precise data manipulation, beneficial for ISV vendors and users needing greater control.
  • Enhanced Flow.BI Capabilities: Integrates advanced SQL functionality to create precise and efficient reports.
  • Ideal for Users with High Control: Benefits ISV vendors, data analysts, and engineers requiring fine-grained data processing control.

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