![]() ![]() However, on the Datograph, all you need to do is press a push-piece once. On a regular chronograph, you have to first stop timing before you can set the hand back to zero and restart. One highlight of the timepiece is its flyback mechanism. Lange & Söhne released the Saxonia together with the Arkade, Tourbillon "Pour le Mérite," and Lange 1 in 1994. The Datograph is part of the Saxonia collection and premiered in 1999. The "graph" in the name comes from the word chronograph. The clock has a numeric display which can be read easily from a far distance. Its name hints at its special features: "Dato" is a reference to its outsize date display, a characteristic feature of many Lange watches that is reminiscent of the Dresden Semperoper's famous five-minute clock. Lange & Söhne quickly developed into an icon. All thanks to Anypoint DataGraph, that's a happy customer who will be shopping at NTO for quite a while.The Datograph from the German manufacturer A. Because of this they enjoy free shipping, and they'll get 20% off their next order. They have the NTO mobile app and they are a platinum member of NTOs loyalty program. It can reuse the graph to surface information on any app even faster. Developers at NTO have reached the next level in delivery speed. Chris can just copy this one single query and use it in his mobile application code. He just selects the fields he needs for his project. Chris doesn't have to write request to each API and parse through long responses. All the data from the customer order and loyalty API is available in this one GraphQL endpoint. Let's run a query." Chris starts to type out his query in the console. He sees the unified schema created by Anna. He needs the relevant customer loyalty and order information. Meanwhile, Chris has been working on the mobile app. Now, she's able to serve data across all of NTO'sAPIs in a single SAAS endpoint without writing a single line of code. Their deployments, versioning, runtime upgrades, client contracts, and so much more. Before DataGraph, Anna had to manage access to each individual API. With a few clicks, the graph is automatically generated and ready to share. With these links, developers can get loyalty and order information for each customer in a single request. Similarly, Anna has linked customer and order information together. Using this relationship, she links these two types together. Next, Anna knows that the customer and loyalty types both have a loyalty member ID. In a couple of clicks, the capabilities delivered through the customer loyalty API are automatically extracted, all without writing a single line of code. If needed, she can also provide authentication. All she needs to do is specify the version, asset and URL. This is a great start, but Anna knows that Chris needs loyalty details for each customer. All these fields come back to a single end point upon which developers can consume data across all of these APIs in a single request. Currently, she has customer data from salesforce and order information from a database. Here, she's presented with a unified schema of various data types and fields from different APIs. To start, Anna goes to Anypoint DataGraph. Anna wants to create a faster way for Chris and other developers to consume APIs. So to get help, Chris goes to Anna, an enterprise architect at NTO. ![]() He'll spend a significant amount of time writing multiple API requests, parsing through long responses and writing custom logic to isolate the data he needs. Though the required customer loyalty and order details already exist across existing MuleSoft APIs, Chris knows there's a lot of manual effort involved. He's assigned this project and he is frustrated. They want to give their customers a profile of their loyalty status and benefits on a mobile app. NTO has started a loyalty program to improve customer retention. We'll continue this demo with Northern Trail Outfitters or NTO. Let's take you through a demo for Anypoint DataGraph, a new offering that allows your developers to consume all the APIs in the organization in a single request. ![]()
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