The customer wanted something which was easy to manage, which provided visibility of data movement tasks within the Azure Portal without needing to manage and maintain PowerShell scripts. The reason behind this was to ensure that any uploads to their Production environment are kept inline with the Development environment, enabling testing to be performed on ‘live’ data. The same pipeline can be used for copying one file using same datasets and prove to be one of the most helpful assets in debugging and re-running the pipeline in case of fix-measures.I was set an interesting challenge by a customer to copy the data in their Production Subscription Azure File Shares into their Development Subscription Azure File Shares. The pipelines can be scheduled and thus the copy can be scheduled in bulk. The iterator accepts the default parameter and hence it can be executed in conjugation with other pipelines. Please make sure to have exactly similar column headers as they are case-sensitive. In case of the database/ warehouse loading, the automatic mapping is taken as Sequential, if the column headers are not present and if present, the column headers are matched and the source column is copied to respective column in the sink accordingly. Taking each copy into consideration, the source and sink mapping are not required. Which source dataset is related to which sink dataset is already defined in the parameter. The parameter is segregated for source and sink dataset. The parameter given to the iterator will be passed to the Copy wizard and hence can be further carried forward to source and sink dataset. In the below example, multiple files are stored at the dynamic location of Azure data Lake Store and the same needs to be copied to Azure Datawarehouse in dbo schema. The source and sink dataset will also be parameterized to make it dynamic. The associated activity will be Copy wizard, which needs to be executed multiple times, or as required. This acts similar to parameterized For loop. Once the set-up is done, a new pipeline needs to be created with the ForEach wizard as the main component. To begin with the copy, source datasets and sink datasets needs to be identified and subsequently their associated Linked Service needs to be created. It provides Copy wizard to copy the files from multiple sources to other sources. Data Transformation, Data Integration and Orchestration. And one pipeline can have multiple wizards, i.e. Data factory enables the user to create pipelines. Microsoft comes with one Azure service called Data Factory which solves this very problem. But, what if the copy needs to be done on periodic basis say daily or every EOD update? We may have come across many instances where we have found that we need to copy files from one location to another. News – Check out our most recent news, key announcements & Press releases.Innovation Lab – The Innovation Lab is built with an aim to create market-ready BI & Analytic solutions.Careers – Explore intellectually rewarding careers in the field of Business Intelligence & Analytics.About Visual BI – We make the best in BI possible through our passion and commitment to innovation.Events – Check out events hosted and attended by Visual BI Solutions.Webinars – Get latest updates on our webinar schedules & register to learn from our experts.Videos – Handpicked video resources showcasing you the latest BI trends and technologies.Case Studies – A growing collection of more than 50+ case studies exhibiting our customers’ success.Blogs – Get your inside scoop into our take on the latest developments in BI & Analytics.Data Science & ML – Unlock endless possibilities with an optimum mix of Data Science and Machine learning.Modern BI & Analytics – Experience the power of data with modern visualization techniques.Strategy & Architecture – Drive successful outcomes with the right data strategy and architecture.Data Architecture & Engineering – Build a modern data foundation that supports your business.
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