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.
Read MoreWith Bing Speech API, I will show you how to convert human speech (i.e. audio) to text. Bing Speech API is part of the Azure Cognitive Services suite and shares the same speech recognition technology used by other Microsoft products such as Cortana.
Read MoreHow to get started with Azure Event Hubs and Stream Analytics. Understand the high-level architecture, key concepts, relationships and then finally dive into a demo where we will stream Bitcoin price data in real-time to Power BI.
Read MoreAzure Data Factory is a fully managed data integration service that allows you to orchestrate and automate data movement and data transformation in the cloud. In Microsoft's latest release, ADF v2 has been updated with visual tools, enabling faster pipeline builds with less code.
Read MoreIn this post, I show how easy it is to take advantage of Text Analytics, a cloud-based offering from Microsoft's suite of Cognitive Services. I'll demonstrate language detection, key phrase extraction, and a deeper dive into sentiment analysis parsing 3000 IMDB user reviews.
Read MoreIn 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.
Read MoreIn 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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