By Zoiner Tejada

Microsoft Azure has over 20 platform-as-a-service (PaaS) choices which may act in aid of a large information analytics answer. So which one is correct on your undertaking? This functional e-book is helping you know the breadth of Azure prone via organizing them right into a reference framework you should use while crafting your individual giant info analytics resolution. you will not just be capable to be certain which carrier most closely fits the task, but additionally enforce an entire resolution that scales, presents human fault tolerance, and helps destiny wishes.

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Additional resources for Mastering Azure Analytics: Architecting in the Cloud with Azure Data Lake, HDInsight, and Spark

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Viewing the contents of the Data Lake Store. 6. If you click on a folder in the tree view and then right click in the white space where files are listed, you will be presented with a menu that allows you to upload files. Choose “As Row-Structured File” for CSV and delimited text data or “As Binary” for file types that do not have their line-endings preserved. Figure 2-41. Menu showing the options for uploading to the Azure Data Lake Store. 7. In the Upload File dialog, you can select multiple files using either CTRL to select multiple files individually or SHIFT to select a range of files.

3rd Party Clients There are also excellent, free third party tools that do a great job with bulk data load‐ ing. com/products/azure-explorer/introduction). This tools runs on Windows only, and gives you a Windows Explorer like shell for dragging and dropping files from your local environment into Azure Storage Blobs. info Figure 2-45. aspx) to extract data from your local directory on-premises and write them out to files on Blob storage. In short, the Azure Feature Pack comes with an SSIS task called Azure Blob Upload that ena‐ bles this bulk loading for Blobs from SQL Server.

Info | 45 Figure 2-40. Viewing the contents of the Data Lake Store. 6. If you click on a folder in the tree view and then right click in the white space where files are listed, you will be presented with a menu that allows you to upload files. Choose “As Row-Structured File” for CSV and delimited text data or “As Binary” for file types that do not have their line-endings preserved. Figure 2-41. Menu showing the options for uploading to the Azure Data Lake Store. 7. In the Upload File dialog, you can select multiple files using either CTRL to select multiple files individually or SHIFT to select a range of files.

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