Azure Data Lake Series: Working with JSON - Part 3

Azure Data Lake Series: Working with JSON - Part 3

In part 3, we ratchet up the complexity once more to see how we handle multiple JSON files with schema structures that require extraction at multiple levels (i.e. highly hierarchical). Using U-SQL via Azure Data Lake Analytics we will transform semi-structured data into flattened CSV files to glean insights on the top restaurants across London.

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Azure Data Lake Series: Working with JSON - Part 2

Azure Data Lake Series: Working with JSON - Part 2

In part 2, we ratchet up the complexity to see how we handle JSON schema structures more commonly encountered in the wild (i.e. an array of objects, dictionaries, nested fields, etc). Using U-SQL via Azure Data Lake Analytics we will transform semi-structured data into flattened CSV files.

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Azure Data Lake Series: Working with JSON - Part 1

Azure Data Lake Series: Working with JSON - Part 1

In part 1, we begin by learning how to set up our environment in order to query JSON documents using U-SQL via Azure Data Lake Analytics, then storing the flattened results into a CSV file back into Azure Data Lake Store.

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Upload a file to Azure Data Lake Store using .NET

Upload a file to Azure Data Lake Store using .NET

Learn how to upload a file from a local machine to an Azure Data Lake Store using the .NET SDK.

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