Systems | Development | Analytics | API | Testing

Welcome to Talend's Pipeline Designer, a modern, flexible integration tool you can use to easily and powerfully process data at scale--FAST. In this video, you will see a real use case that extracts Order data from Salesforce.com and enriches it with data from a product catalog before loading the results to a Snowflake Data Warehouse for analysis.

Improve your BigQuery SQL query times and reduce overall costs by partitioning and clustering your tables! Join Nick and Stephanie as they give a quick demo of how to set it up, use it to the fullest extent, and try it out for yourself!

 Zephyr for Jira is the leading native application that resides in Atlassian’s Jira Software bringing full featured test management capabilities to any Jira project. Join us to review the benefits of moving to Data Center and see how Zephyr for Jira is used with it.

Idempotent Publishing - Ably Quick Bits

Welcome to Talend's Pipeline Designer, a powerful, flexible integration tool that can easily process data at scale. Using a familiar and user-friendly UI, Data Integration and Big Data developers can use Pipeline Designer to construct end-to-end Pipelines in just a few clicks. To get started with Pipeline Designer, we will look at how to manage datasets and connections.

Welcome to Talend's Pipeline Designer, a self-service web UI that makes streaming data integration accessible, easy, and fast. Within this video, you will see how to construct a simple pipeline in order to understand some of Pipeline Designer’s most prominent processors and features.

The future of analytics is augmented. This means analytics will be AI-driven and all end to end use cases will be automated. And software vendors can use this to their advantage by embedding AI-driven analytics platforms like Yellowfin.

Countly Remote Config (also known as Feature Flags) is a way to change appearance and behavior of your application, without any publication and update to your mobile or web application.

Artificial intelligence and machine learning are continuously reshaping the test automation scenario. As a result, many agile teams have been looking at ways to adapt AI/ML into their practices to evolve testing strategies.