• List and Send Mail from Outlook 365 using MuleSoft

    List and Send Mail from Outlook 365 using MuleSoft

    Connecting to Outlook 365 using the MuleSoft connector is relatively straightforward, thanks to the connector’s intuitive design and robust capabilities. With this connector, you can seamlessly integrate your MuleSoft applications with Outlook 365 mailboxes, enabling real-time communication and message handling. In this post, I’ll walk you through the following steps: I’ll assume you have access…

  • Query and Load Data into Google BigQuery using MuleSoft

    Query and Load Data into Google BigQuery using MuleSoft

    BigQuery is a RESTful web service that enables interactive analysis of massively large datasets working along with Google Storage. If you’re building new integrations to drive data in and out of BigQuery, the general recommendation is to leverage the native API. MuleSoft recently released a Google BigQuery Connector that wraps these APIs and provides an…

  • Connect to Apache Kafka on Heroku using MuleSoft

    Connect to Apache Kafka on Heroku using MuleSoft

    Apache Kafka is used for building real-time data pipelines and streaming apps. It is horizontally scalable, fault-tolerant, and incredibly fast. When coupled with Heroku and MuleSoft, developers can easily publish and consume data without writing any code. In this article, we’ll walk-through the process of configuring the MuleSoft Kafka connector to connect to Apache Kafka…

  • Fine-Tuning Amazon Bedrock with MuleSoft

    Fine-Tuning Amazon Bedrock with MuleSoft

    AWS re:Invent 2023 was nothing short of a tech enthusiast’s dream, bringing together innovators, experts, and enthusiasts from around the globe. Generative AI was top of mind for everyone here and Amazon Bedrock was a big part of many conversations. Bedrock is a fully managed service that offers a choice of foundation models from vendors…

  • Mastering Microsoft Power BI Integration with MuleSoft: A Step-by-Step Tutorial

    Mastering Microsoft Power BI Integration with MuleSoft: A Step-by-Step Tutorial

    Unlocking the full potential of your data has never been easier than with the seamless integration of MuleSoft and Microsoft Power BI. In today’s data-driven world, businesses are constantly seeking ways to harness the power of their information for smarter decision-making. In this step-by-step tutorial, we’ll guide you through the process of using MuleSoft, a…

  • Connect to Azure Data Lake Store Gen 2 with MuleSoft

    Connect to Azure Data Lake Store Gen 2 with MuleSoft

    Someone pointed out to me the other day that Azure has an updated version of Azure Data Lake Store which I’d written a post about several years ago. The post leveraged the REST API because we didn’t have a connector at the time. Since then, MuleSoft has released a connector and Gen 2 was released.…

  • Exposing SAP Table Data with MuleSoft – Part 1

    Exposing SAP Table Data with MuleSoft – Part 1

    Overview Master Data, Transactional Data, Configuration Data, Custom Z-Tables: these are various types of tables that store data around SAP. Each table is designed to hold specific types of data related to a particular module or aspect of the business. How you access data from these tables in SAP can vary from use-case to use-case.…

  • OpenAI GPT-3 Connector for Mule 4.x

    OpenAI GPT-3 Connector for Mule 4.x

    Overview If you haven’t heard about GPT-3 or OpenAI, you’re living under a rock! Here’a Mule connector to get you started. Built with the Mule SDK, you can send prompts to get a completion or test out DALL-E and generate an image based on a prompt. Leave a comment if you have any questions or…

  • Convert RAML/OAS to WSDL

    Convert RAML/OAS to WSDL

    This MuleSoft project provides a way to convert RAML/OAS to WSDL. You can find the project here. https://github.com/djuang1/wsdl-generator-mule4 It uses the following libraries/projects: You can see a working example here: https://wsdl-generator.us-e1.cloudhub.io/console/

  • RAML for an Asynchronous RESTful API

    RAML for an Asynchronous RESTful API

    Overview Most APIs are designed to respond quickly to a request, generally 100ms or less. But there are cases where the backend systems will take longer than the expected reply. So the question is how to design a RESTful API to address these use cases? Solution Asynchronous REST APIs, or HTTP Polling, is the approach…