#mappingdataflows ผลการค้นหา
With #Azure #DataFactory I'm able to copy 5M+ new rows of data every night from on-prem SQL DBs and API sources, edit, merge and transform the data in flight with #MappingDataFlows, and update #DataWarehouse w/ new data. No code. All in the user interface. In about 30 minutes.
Personal blog post: Using Azure Data Factory Mapping Data Flows to populate Data Vault datanrg.blogspot.com/2019/05/using-… #AzureDataFactory #MappingDataFlows #DataVault
Personal blog post: Stacking Up Datasets in Azure Data Factory datanrg.blogspot.com/2020/04/stacki… #Azure #DataFactory #MappingDataFlows
Currently loading a complex dimension table with SCD Type1 in #MappingDataFlows within #AzureDataFactory
Long time not to update my @AzDataFactory cheat sheet about its transformations available in #MappingDataFlows. Today, I added 6 of them. Download the latest version 2.0: github.com/SQLPlayer/Chea… #mvpbuzz #adf #adfmdf
Dear @DataAzure , isn't it allowed to use parameters in #MappingDataFlows for the sink destination? @mssqldude #azuredatafactory
You can now edit existing Azure IR data flow settings, without needing to create a new IR when you change your compute type and core counts in #Azure #DataFactory and @Azure_Synapse #mappingdataflows
🚨🚨🚨 New!! Just released public preview of source & sink connector for #mappingdataflows in #Azure #DataFactory and @Azure_Synapse: Dynamics 365
Is this true? I can't use #MappingDataFlows on #AzureDataFactory if my source is an HttpServer (REST API)? Was hoping to avoid landing the data on a #Azure datalake and just transform the data in flight from source to sink. @KromerBigData
Quick Spark cluster re-use for Azure IR has landed in @Azure_Synapse for #mappingdataflows. No need to explicitly set "quick re-use", all TTLs in Synapse will start sequential data flows in < 3 seconds. This will become default behavior in #Azure #DataFactory soon as well.
.@AzDataFactory Did something recently change in #AzureDataFactory for the Projection functionality in #MappingDataFlows? I don't see items available in the Type dropdowns. Seems to be happening in various locations where dropdowns for types and columns are used.
Dear @DataAzure, @AzureSQLDB , are there any reasons why this #maxdop option will be added automatically when I'm using #MappingDataFlows in #DataFactory against #SQLDWH for reading the whole table?
As new transformation appeared recently in @AzDataFactory #MappingDataFlows - it's time to update #cheatsheet which helps SSIS & SQL devs to understand the new world. Download the latest version 2.1: learn.sqlplayer.net/view/courses/c… #mvpbuzz #adf #adfmdf
Reading "Dynamic File Names in #ADF with Mapping Data Flows" by my friend, @KromerBigData buff.ly/2v1H8H3 #MappingDataFlows
Exciting new feature landing next week in #Azure #DataFactory and @Azure_Synapse data flows! @AzDataFactory Add custom headers to your data when writing to the lake with the new Headers sink property in data flows. #MappingDataFlows
#Azure #DataFactory @Azure_Synapse adds more support for complex data types to #MappingDataFlows. You can now process Map data types by adding to your projections & transformations. Very helpful in Lake scenarios when working w/Parquet, Avro, JSON in data flows. @AzDataFactory
Spotted: THERE’S A NEW KID IN TOWN - Using #mappingdataflows with #CommonDataModel in #AzureDataFactory & #AzureSynapse try adding &feature.cdm=true to your editor-url bit.ly/3fjRQhM
Azure #DataFactory #MappingDataFlows hit general availability in October & is an easy-to-use tool that empowers users to quickly design #ETL processes that transform data in the cloud, at scale. Today's blog post discusses using #ADF vs. #SSIS. hubs.ly/H0lM1_m0
Super new data preview helper added to #mappingdataflows @AzDataFactory @Azure_Synapse. Use Refresh > Refetch from sources when previewing data in debug mode when your source data changes.
Exciting new update & feature coming to #Azure #DataFactory & @Azure_Synapse #MappingDataFlows Flowlets provide a way to take portions of your data flows and turn them into reusable components as custom transformations and sources @AzDataFactory techcommunity.microsoft.com/t5/azure-data-…
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