The Talend API Tester is designed to easily create and manage API Requests and build test Scenarios to ensure your API is working accurately. Scenarios are ordered sets of requests that allow you to simulate real-life usage of an API. Combined with the validation feature, it helps ensure that the behavior is stable over time and complies with rules.

Welcome to the Talend API Tester. The Talend API Tester works hand-in-hand with the Talend API Designer to create test scenarios that emulate real-life use cases to ensure newly created API’s have been properly configured. The Tester also works with Talend Studio, helping developers test their API implementation. This video will provide a quick introduction to the API Tester application.

Welcome to the Talend API Designer. Thanks to this new application's user-friendly UI, even non-developers can achieve two important activities in an API project: design and documentation. This video will provide a quick introduction to the API Designer application.

The release of Talend 7 is our biggest yet, introducing improvements to cloud, big data, governance and developer productivity. But it is nearly impossible to keep up with every Platform’s release schedule. That’s why, in this latest release, we offer Dynamic Distribution Support for both Hortonworks and Cloudera with support for others coming soon.

Watch as Nitin Kudikala, Customer Success Architect has shared the foundations and secrets of successful Talend development projects, including the best way to write Talend Jobs, SDLC best practices, and guidelines vs. standards.

Data plays an important part in nearly every business operation; for it to be valuable, it must be moved and prepared for use, which means you need ETL processes.

Talend’s Big Data and Machine Learning Sandbox is a virtual environment that utilizes Docker containers to combine the Talend Real-time Big Data Platform with some sample scenarios that are pre-built and ready-to-run. This example uses Talend's machine learning capabilities to implement a personalized recommendation model based on user input.

Talend’s Big Data and Machine Learning Sandbox is a virtual environment that utilizes Docker containers to combine the Talend Real-time Big Data Platform with some sample scenarios that are pre-built and ready-to-run. This example demonstrates a Data Warehouse Optimization approach that utilizes the power of Spark to perform analytics of a large dataset before loading it to the Data Warehouse.

Talend’s Big Data and Machine Learning Sandbox is a virtual environment that utilizes Docker containers to combine the Talend Real-time Big Data Platform with some sample scenarios that are pre-built and ready-to-run. This video demonstration shows how a large company with over 50,000 vending machines can use the power of IoT (Internet of Things) and machine learning to determine an individual machine’s likelihood to break down.

Talend’s Big Data and Machine Learning Sandbox is a virtual environment that utilizes Docker containers to combine the Talend Real-time Big Data Platform with some sample scenarios that are pre-built and ready-to-run. This video demonstration shows how an online bank is trying to mitigate their exposure and risk by targeting credit offers to only those customers whom are deemed low risk and most likely to accept the credit offer.