@mflasko
linkedin.com/in/mike-flasko-495468/
Joined October 2008
  • Tweets160
  • Following62
  • Followers156
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Happy 8th birthday Carter! Go Kraken!!! #seakraken
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YEEEEAHHH - finally ! Storedprocs support in #AzurePurview #AzurePurview #DataGovernance
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With the growing volume of data collected from an increasing number of sources, the need for a comprehensive data management and data governance service has never been stronger. Today, we announced that Azure Purview is now generally available! azure.microsoft.com/en-us/bl…

Govern your data wherever it resides with Azure Purview | Microsoft Azure Blog

Today, we are excited to announce that Azure Purview is generally available. Every organization can now build a unified data governance solution to maximize the value of their data in the cloud.

azure.microsoft.com
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Learn how Grundfos is furthering their digital transformation with #AzurePurview customers.microsoft.com/en-u…
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Supporting the #CDO with intelligence about the data they are accountable for, dashboards and data use governance insights are part of the @Azure #Purview public preview
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Maximize the impact of insight and #PowerBI analytics. Discover Azure Purview: msft.it/6018pOUgI
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New Data Governance Service #Azure Purview now in Public Preview #azure #azurepurview
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I talked to @Azure chief @jlzander on @SquawkAlley this morning about Azure Synapse and Purview, two new data products from @Microsoft: #cloud #cloudweek #data
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YESSS!!! #dataflows are Generally Available !! @DataAzure #PASSSummit #sqlpass #sqlserver #ssis #ssrs #ssas #excel #powerbi #azure #cloud #data #analytics #azuresql #datafactory
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Learn about #Azure Data Share: Provision a new data share, add datasets, specify your terms of use, and invite recipients. @joanalytics joins @shanselman to show how. aka.ms/azfr/556

Share data simply and securely using Azure Data Share

Now in public preview, Azure Data Share offers a simple pane of glass over your data sharing relationships. Provision a new data share, add datasets, specify your terms of use, and invite recipients.

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New product: Azure Data Share jamesserra.com/archive/2019/…
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Replying to @DTechDigger @cathrinew
ADF has 2 types of Data Flows: Mapping & Wrangling. Mapping (public preview) is for ETL. Wrangling (private preview) is for data prep (Power Query). Both are Data Flow resource types in ADF and both compile to the same ADF DSL that executes in Spark using Azure Databricks.
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How to prepare data using wrangling data flows in Azure Data Factory channel9.msdn.com/Shows/Azur… via @ch9

How to prepare data using wrangling data flows in Azure Data Factory

Gaurav Malhotra joins Scott Hanselman to show how wrangling data flows in Azure Data Factory empower you with a code-free, serverless environment that simplifies data preparation in the cloud and...

learn.microsoft.com
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This weekend I engineered an ETL for a dimensional model on #Azure using nothing but #AzureDataFactory. Didn't use SSIS, XML or C#. Never worried about server hardware, throughput, or I/O. Just a visual interface with a bit of JSON. Awesome. infoq.com/news/2019/10/Azure… – at Washington, DC
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#MSBuild Stop by to see the #Microsoft #Azure #DataFactory team at the MSFT booth in the expo center next week! .@DataAzure
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We are incredibly excited to announce the full public preview release of ADF Mapping Data Flows today at #MSBuild!! Easily transform data at massive cloud scale in a code-free design environment. #DataFactory #MappingDataFlows azure.microsoft.com/blog/ana… .@dataazure
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Let us know what you think as you get into playing with it @hylegoz . We’ve tried to make data integration easy to incorporate into a teams software lifecycle
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Still running SSIS Packages on-premises? Take the advantages of flexibility and scalability with the cloud. Migrate your SSIS packages to Azure Data Factory v2. Now! #Azure #DataFactory @DataAzure @pluralsight bit.ly/migrateToADF
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Have you seen it yet? Within Azure Data Factory (@DataAzure) they have made a super improvement again. It's now possible to add Pipelines from a standard or custom template. This has made it easier to reuse a pipeline in other projects. #azure #datafactory #microsoftbi #analytics
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