Ingest data into Azure Data Factory using the Copy Activity This module is part of these learning paths Data integration at scale with Azure Data Factory or Azure Synapse Pipeline Module assessment Assess your understanding of this module. Sign in and answer all questions correctly to earn a p...
Get started with Azure Data Factory Create a data factory Hello World - How to copy data Create a data flow Training modules Azure Data Factory Studio Learning center Tutorials Samples Concepts How-to guides Create a data factory in UI
Just as Azure Data Factory provides a variety of methods for ingesting data, it also provides a range of methods to perform transformations. You can pick a method that matches the skillsets of your team or takes advantage of existing technologies that you already have in your data ...
Azure Data Factory Azure Synapse Analytics In this module, you will learn how to perform common data transformation and cleansing activities within Azure Data Factory without using code.Learning objectives Introduction Explain Data Factory transformation methods Describe Data Factory transformation types Use...
Applies to: SQL Server SSIS Integration Runtime in Azure Data FactoryThe Lookup transformation performs lookups by joining data in input columns with columns in a reference dataset. You use the lookup to access additional information in a related table that is based on values in common columns.Th...
Through a comprehensive analysis and practical implementation of Azure Data Factory, this research highlights its efficacy in handling COVID-19 data integration and reporting tasks. It sheds light on the data ingestion, transformation, and storage options provided by Azure Data Factory. It also show...
Applies to:SQL ServerSSIS Integration Runtime in Azure Data Factory The Aggregate transformation applies aggregate functions, such as Average, to column values and copies the results to the transformation output. Besides aggregate functions, the transformation provides the GROUP BY clause, which you can...
Applies to: SQL Server SSIS Integration Runtime in Azure Data FactoryThe Slowly Changing Dimension transformation coordinates the updating and inserting of records in data warehouse dimension tables. For example, you can use this transformation to configure the transformation outputs that insert and updat...
Applies to: SQL Server SSIS Integration Runtime in Azure Data FactoryThe Fuzzy Lookup transformation performs data cleaning tasks such as standardizing data, correcting data, and providing missing values.Note For more detailed information about the Fuzzy Lookup transformation, including performance and mem...
A key part of the Intelligent Data Platform, Azure AI, makes building data-informed ideas and experiences easy. Last year, we introduced Azure AI Studio, a one-stop-shop for generative AI creation offering model selection, data, security features, and DevOps in one int...