Azure 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 MoreExplore how Azure Cosmos DB can be used to store, query and traverse graphs using Python and the Gremlin query language of Apache TinkerPop.
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 this post, we explore how to use Python to perform Text Analytics, creating data out of data. Using content from Donald Trump's twitter feed, we get an insight into the President's grasp on the English language.
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 MoreServerless database computing with Azure Functions and Microsoft's fully managed No-SQL database service, Cosmos DB. Using a time-based trigger, our function will update Cosmos DB with Bitcoin price data (e.g. open, high, low, volume, etc.) on a regular interval (every 1 minute).
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.
Read MoreLearn how to upload a file from a local machine to an Azure Data Lake Store using the .NET SDK.
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