When it comes to data warehousing, there are a lot of tools and services on the market. However, not all of them are effective for all types of data.
That’s where Azure Data Factory comes in.
Azure Data Factory is an ETL tool that automates the process of extracting, transforming, and loading data from relational or non-relational sources. It can handle a wide variety of data formats, including JSON, XML, CSV, and SQL.
PRO TIP: Azure Data Factory is not an ETL tool. It is a cloud-based data integration service that allows you to create, schedule, and orchestrate data pipelines.
Not only is Azure Data Factory an effective ETL tool, but it also has a lot of features that make it a great choice for data warehousing. For example, it has a built-in data governance feature that can help you manage your data relationships and compliance requirements.
Additionally, it has a data delivery pipeline that can help you automate the process of getting data into your data warehouse.
All in all, Azure Data Factory is an effective tool that can help you manage your data warehouse efficiently and compliance-wise. If you’re looking for an ETL tool that can handle a wide range of data formats, then Azure Data Factory should be at the top of your list.
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Azure data/factory ETL is a process of transforming data from sources into a format that can be consumed by an organization’s data warehouse or other business operations. Azure data/factory ETL can be used to transform data from a variety of sources, including text, relational, and object-relational data sources. Azure data/factory ETL can also be used to transform data from different data formats, including CSV, JSON, and XML.
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