Azure Synapse Analytics: Data Flows
In this episode Mitchell will introduce you to data flows in Azure Synapse Analytics. You will learn why Data Flows are important, how to use a derived column
In this episode Mitchell will introduce you to data flows in Azure Synapse
Analytics. You will learn why Data Flows are important, how to use a derived
column transform and some basic configuration and setup.
Azure Synapse Analytics: Data Flows is an integration service that enables users to build and execute data transformation pipelines with ease. It is a graphical environment that allows developers to quickly build data transformation pipelines using a simple drag-and-drop interface. Data Flows enables users to create pipelines with multiple sources and destinations, perform transformations, and execute the pipeline with a single click.
Data Flows can be used to connect to a wide variety of data sources and destinations such as Azure SQL Database, Azure Data Lake Storage, Azure Object Storage, and many more. It supports a wide range of data transformation activities such as filtering, pivoting, joining, aggregating, and sorting. The data flows can be written in a wide variety of languages such as SQL, Python, and C#.
Data Flows facilitates the integration of data from multiple sources and provides an easy way to transform, analyze, and prepare data for downstream consumption. Additionally, Data Flows can be used to create powerful data pipelines for data lakes, data warehouses, and streaming analytics. Data Flows can be used to create sophisticated data flows and pipelines for both batch and streaming data.
Questions and Answers about Microsoft 365
Data flows are visually designed data transformations in Azure Synapse Analytics. Data flows allow data engineers to develop data transformation logic without writing code. The resulting data flows are executed as activities within Azure Synapse Analytics pipelines that use scaled-out Apache Spark clusters.
Azure Synapse Analytics is a limitless analytics service that brings together data integration, enterprise data warehousing and big data analytics. It gives you the freedom to query data on your terms, using either serverless or dedicated options—at scale.
What are the main components of Azure Synapse Analytics? An Azure analytics service that brings together data integration, enterprise data warehousing, and big data analytics.
Azure SQL DW was rebranded as “Dedicated SQL pool (formerly SQL DW)” with intention to create clear indication that the former SQL DW is in fact the same artifact that lives within Synapse Analytics.