Mises à jour Azure
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Flux RSSjuillet 2019
Azure Data Factory Mapping Data Flows public preview adds parameter support
Azure Data Factory Mapping Data Flows provides a code-free design environment for building and operationalizing ETL data transformations at scale. Now, the ADF team has added parameter support for Data Flows, enabling flexible & reusable data flows that can be called dynamically from pipelines.
Azure Data Factory upgrades Teradata connector to enable new features and enhancement
Azure Data Factory upgraded the Teradata connector with new feature adds and enhancement, including built-in Teradata driver, out-of-box data partitioning to performantly ingest data from Teradata in parallel, and more.
Azure Data Factory logs now available as dedicated tables in Azure Monitor Logs
A new logging mode in Diagnostic Settings for an Azure Logs target, starting with Azure Data Factory, will allow you to take advantage of improved ingestion latency, query performance, data discoverability, and more!
juin 2019
Clean up files by built-in delete activity in Azure Data Factory
You can use ADF delete activity in your pipeline to deletes undesired files without writing code.
New connectors available in Azure Data Factory: SAP Table and SAP BW via Open Hub
Azure Data Factory now enables you to copy data from SAP Table and SAP Business Warehouse (BW) via Open Hub by using Copy Activity.
Azure Data Factory enriches PolyBase support for loading data into SQL DW
Azure Data Factory seamlessly integrates with Polybase to empower you to ingest data into SQL DW performantly. ADF now adds support for loading data from ADLS Gen2 and from Blob with VNet service endpoint using PolyBase.
General availability: Azure Data Factory in China East 2
Azure Data Factory is now generally available in Azure China (China East 2).
Now available: Ingest data from Oracle database performantly using Azure Data Factory
Azure Data Factory copy activity now supports built-in data partitioning to performantly ingest data from Oracle database in parallel.
Preserve ACLs when upgrading from ADLS Gen1 to Gen2 using Azure Data Factory
Azure Data Factory empowers you to copy data from Azure Data Lake Storage (ADLS) Gen1 to Gen2 easily and performantly. Furthermore, now you can choose to preserve the access control lists (ACLs) set on the files/directories along with data.
mai 2019
Mapping Data Flows feature is now available in Azure Data Factory
The new Mapping Data Flows feature in Azure Data Factory allows Data Engineers to visually design, debug, manage, and operationalize data transformations at scale in the cloud.
Azure Data Factory enhancements
Feature enhancements to Azure Data Factory allow developers to be more productive by visually transforming their data at big-data scale without any code. The launch of Mapping Data Flows makes Azure Data Factory a full ETL/ELT (extract/transform/load and extract/load/transform) service. Additionally, Wrangling Data Flows, offers a code-free way to visually discover and prepare data without writing code. <br> <a href="https://aka.ms/Build2019_Analytics" data-event="area-build-announcements-clicked-announcement">Read blog</a>
février 2019
Support for Enterprise Security Package–enabled HDInsight clusters in Azure Data Factory
You can use Azure Data Factory to operationalize your Azure HDInsight Spark and Hadoop workloads against HDInsight clusters with Enterprise Security Package that are joined to an Active Directory domain.
Monitor Azure Data Factory pipelines by using Azure Monitor and Log Analytics
You can monitor the health of your data factory pipelines by using the Azure Data Factory Analytics service pack available in the Azure Marketplace.
Azure Data Factory visual tools integrated with GitHub
Azure Data Factory visual tools are now integrated with GitHub, so you can collaborate with other developers, do source control, and version your data factory assets.
Self-hosted IR sharing across multiple data factories
You can share an existing self-hosted IR with multiple data factories. This functionality helps you reuse an existing self-hosted IR infrastructure in another data factory while building a hybrid data-integration pipeline.
Parameterize connections to your data stores in Azure Data Factory
You can now parameterize a linked service in Azure Data Factory.
Linked Resource Manager template support available for CI/CD in your data factories
Azure Data Factory now generates linked Resource Manager templates for CI/CD by breaking the factory payload into several files to help users with Resource Manager template limits.
Azure Functions now supported as a step in Azure Data Factory pipelines
Azure Functions is now integrated with Azure Data Factory, so you can run an Azure function as a step in your data factory pipelines.
Create alerts to proactively monitor your data factory pipelines
Organizations can now improve operational productivity by creating alerts on data integration events (success/failure) and proactively monitor with Azure Data Factory.
Enhanced monitoring capabilities and tags/annotations in Azure Data Factory
Azure Data Factory pipelines now include tagging support and enhanced monitoring capabilities, including dashboards and improved debugging support.
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