How to Get Dollar Quotes for Free with Fabric Data Factory

We'll learn about the techniques

1. Create Data Pipeline (DATA FACTORY, DATA PIPELINE)

   :Data Factory
   • : Microsoft Fabric provides the ability to build efficient data pipelines through the Data Factory service. This enables the orchestration and execution of workflows to extract, transform, and load data from multiple sources to desired destinations. The pipelines are visually designed, making them easy to build and maintain.

2. Copy

   • Assistant: The data copy wizard simplifies the process of transferring data between sources and destinations. It provides an intuitive interface for configuring copy operations, including selecting connectors, defining URLs, authentication, and column mapping. Its use facilitates the correct and efficient configuration of data copy operations.
Central Bank of Brazil

3. Data Extraction (HTTP, LAKEHOUSE)

   :HTTP
   • : The process of extracting data from the Central Bank of Brazil involves using the HTTP protocol to access the desired information. This includes browsing the Central Bank's website, searching for specific data, and downloading it in formats such as CSV.
   • LakeHouse: Microsoft Fabric supports integration with the Lake House concept for data storage. Lake House offers a unified approach to data analytics, combining features of data lakes and data warehouses for efficient management and powerful analytics.

4. Adjustments and Mapping in the Pipeline (CONNECTION STRINGS, DETECT TEXT FORMAT, MAPPING)

   :connection
   • Strings: In the adjustment process, connection strings are used to configure the connection to different data sources, ensuring secure and effective communication.
   • Detect Text Format: The ability to detect text format makes it easier to correctly configure operations in the pipeline, especially when dealing with different types of files and data.
   • Mapping: Data mapping is essential in the process of defining how source data relates to target structures, ensuring that integrity and accuracy are maintained during transfer.

5. Pipeline Execution and Corrections (TYPE CONVERSION SETTINGS):Type

   • Conversion Settings: During pipeline execution, type conversion settings are crucial to ensure that the data is interpreted correctly. This includes adjustments such as date formats, defining numeric types, and proper handling for different types of data. These settings ensure data consistency and integrity throughout the process.

Exploring these capabilities in Microsoft Fabric gives you a comprehensive view of the advanced capabilities for building, running, and optimizing data pipelines in an integrated and efficient environment.