Microsoft Graph API allows developers to access data and services across a wide range of Microsoft cloud services. Admittedly setting up permissions and security can be challenging, but once that is sorted, you will be able to access Microsoft services such as Office365, Outlook and Azure. Calling the Graph API with Linx allows you to efficiently automate tasks, or integrate with Microsoft products to ensure that functionality and data is accessible by your other systems.

As Snowflake continues to expand our commitment to compliance, we are pleased to announce that we have successfully completed both C5 and TISAX attestations in Germany.

There are several protocols featured in the Swift Standard Library that enable generic programming in Swift. By defining common behaviors and functionalities for types and collections, these protocols provide a standard way for types to interact with each other. Today we’re going to take a look at four of the key Swift Standard Library Protocols, these are: We’ll provide a brief overview of how each works, and then how we can implement them in our projects.

A few weeks ago, Andrey from Ecommlab contacted me to ask me about a strategy to get performance insights from Tideways into Shopware 6 checkout. The store of our joint customer “Bär Schuhe” was slow for customers during the order confirmation process.

There are plenty of materials available out there about Schema Registry. From Confluent alone, if you head to Confluent Developer and search “Schema Registry” you will discover an ever-growing repository of over 100 results including courses, articles, tutorials, blog posts, and more, providing comprehensive resources for enthusiasts and professionals alike.

Why data lakes are the essential centerpiece of modern data architectures and an indispensable prerequisite for AI.

Terence Bennett - April 9, 2024 Today’s businesses rely on data to operate. Everything from collecting customer data to recording data points from business processes contributes to reaching goals. Big data doesn’t mean much, though, when you keep it separated in silos. When you unify data, you create more data analytics opportunities that lead to valuable insights.