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The memory backend is an in RAM backend. It does not persist its data - use the local backend for that. The memory backend behaves like a bucket based remote (eg like s3). Because it has no parameters you can just use it with the :memory: remote name. You can configure it as a remote like this with rclone config too if you want to:

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Oct 18, 2018 · Azure Data Studio is a new cross-platform desktop environment for data professionals using the family of on-premises and cloud data platforms on Windows, MacOS, and Linux. To learn more, visit our GitHub. Azure Data Studio was announced Generally Available last month at Microsoft Ignite.

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Percona delivers enterprise-class support, consulting, managed services, and software for MySQL, PostgreSQL, MongoDB, and other open-source databases across traditional and cloud-based platforms.

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Dec 30, 2020 · Securityonline is a huge security community. It is committed to the sharing of high-quality technical articles and safety reports, focusing on high-quality security and security incidents in the industry.

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In part three of my Azure Data Factory series I showed you how the lookup activity could be used to return the output results from a stored procedure. If the last modified date of the file is greater than the last execution date (last time the file was processed) then the copy activity will be executed.

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The above example combines several JMESPath features including the flatten operator, multiselect lists, filters, and pipes. The input data contains a top level key, “reservations”, which is a list.

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Let’s build and run a Data Flow in Azure Data Factory v2. Overview. Just to give you an idea of what we’re trying to do in this post, we’re going to load a dataset based on a local, on-premise SQL Server Database, copy that data into Azure SQL Database, and load that data into blob storage in CSV Format.

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