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Unstructured data, such as audio and video files generated by security and other monitoring systems. Semi-structured formats, often used to return data exposed in APIs or emitted in large quantities as records of events €œtraditional” structured records, such as those stored in relational database systems Data requiring analysis appears in an enormous variety of formats, for example: New technologies produce data with ever-increasing speed and quantity.

It’s an exciting time to be working in data. It unifies the various workspace resources into a single, consistent user experience, bringing historically disparate technologies together in a way that lowers barriers to entry and accelerates engineer productivity. The application is the one stop shop for workspace construction, development, monitoring and management. It encapsulates core analytics tools into a single eco-system, allowing engineering teams to focus immediately on solving business problems, without the large upfront cost of architecting a platform in which to do so.ĭevelopment and management of Synapse resources takes place in a web-based, single pane of glass application called Synapse Studio. It combines a range of well established, trusted data engineering tools, simplifying their integration and management. If you have comments about how we might improve the content and/or examples in this book, or if you notice missing material within this chapter, please reach out to the editor at Synapse Analytics is Microsoft’s unified, highly integrated, cloud native data analytics service. Please note that the GitHub repo will be made active later on. This will be the 1st chapter of the final book.

With Early Release ebooks, you get books in their earliest form—the author’s raw and unedited content as they write—so you can take advantage of these technologies long before the official release of these titles.