Being the expert consultant, you are chairing a team session in which you need to describe Azure Data Factory (ADF)
Which of the following statements would you use to describe the Azure Data Factory?
Click on the arrows to vote for the correct answer
A. B. C. D.Correct Answer: D
Azure Data Factory is an ELT (Extract, Transfer, and Load Data) tool to orchestrate data coming from different sources to the destination (target)
ADF allows us to extract data from various sources and targets like Azure Data Warehouse, SQL Server, etc.
Option A is incorrect.
These are Azure Analysis Services tabular models that can store data in a highly compressed and in-memory cache for optimized query performance.
Option B is incorrect.
HBase is a low-latency NoSQL data store that provides a high-performance and flexible option to query structured and semi-structured data.
Option C is incorrect.
Azure Synapse is a managed service depending upon the SQL Server database technologies and is optimized for supporting large-scale data warehousing workloads.
Option D is correct.
Azure Data Factory is an ELT tool to orchestrate data from various sources to the target.
To know more about Azure Data Factory, please visit the below-given link:
Sure, I'd be happy to help explain Azure Data Factory (ADF) and how it fits into the Microsoft Azure ecosystem.
Azure Data Factory is an Extract-Load-Transform (ELT) tool that enables you to create, schedule, and manage data pipelines that move and transform data from various sources to a target destination. It is a cloud-based data integration service that allows you to create data-driven workflows to move data between on-premises and cloud data stores or services. With ADF, you can easily ingest, prepare, transform, and publish data for analysis and reporting.
ADF is designed to work with a wide range of data sources, such as on-premises databases, cloud-based services, file systems, and more. You can use ADF to perform various operations on your data, such as copying, transforming, aggregating, and filtering. ADF also provides advanced data integration capabilities, such as change data capture, data flow transformations, and data masking.
One of the key benefits of ADF is its integration with other Azure services, such as Azure Data Lake Storage, Azure Blob Storage, Azure SQL Database, Azure Synapse Analytics, and more. This allows you to easily integrate your data workflows with other Azure services and create a unified data processing pipeline.
To summarize, Azure Data Factory is a cloud-based data integration service that allows you to create data-driven workflows to move and transform data from various sources to a target destination. It is designed to work with a wide range of data sources and provides advanced data integration capabilities. Its integration with other Azure services makes it easy to create a unified data processing pipeline.