Systems | Development | Analytics | API | Testing

Astera Data Governance Walkthrough

Join me as I guide you through: Centralizing your organization’s data securely Enhancing data quality with enrichment tools Deploying projects using Astera Data Pipeline Builder Managing and enriching data assets Creating glossary terms and tags for better data discoverability Generating comprehensive data profiles and automating data quality checks Approving access requests for data assets.

Behind the Scenes of a Real-Time Pipeline and Game Engine Migration

An international animation studio was halfway through producing a high-profile animated series when they needed a game engine migration from Unity to Unreal Engine. The studio turned to ICVR, a vetted digital production studio known for developing cutting-edge tools and pipelines within game engines. ICVR then designed and deployed a real-time and multi-studio pipeline for the teams with Perforce Helix Core as its foundation.

How to Set Up Your Helix DAM Jira Integration

Learn how to set up the integration between Helix DAM and Jira in this step-by-step tutorial. Jase Lindgren, a solutions engineer at Perforce Software, walks you through the process of creating a webhook in Helix DAM to enable a seamless integration with Jira. From there, you'll gain an understanding of how to link to Jira issues, add comments, update a status, and more. By integrating Helix DAM and Jira, you can streamline your workflows, enhance collaboration, and keep all your project assets and related information in sync.

How to Build Better APIs Faster with Insomnia 9.0

API development is a crucial part of modern application building, but the tooling has often lagged behind, leading to inefficiencies and slow release cycles. Kong Insomnia 9.0 aims to change that by providing a powerful all-in-one platform for designing, testing, mocking, and debugging APIs. In this webinar, we'll dive deep into the major new features in Insomnia 9.0 that turbocharge API developer workflows.

Databricks Mastery: Speed, productivity, and efficiency for Lakehouse

80% of data teams are facing challenges related to availability of tooling. Why? Modern data engineering is difficult and testing data engineering solutions is generally an ad-hoc, manual process. The good news – data teams that use DataOps practices and tools will be 10 times more productive. With this in mind, Unravel is hosting a live event to demonstrate how enhanced visibility and data-driven observability help you streamline your workflow, accelerate your data pipelines on the Databricks Data Intelligence Platform.

Episode 9: From cloud migration to real-time analytics | Davey Resource Group

Clinton McFall from Davey Resource Group explores the challenges of cloud migrations and the lessons learned along the way. McFall and his team tackle complex data challenges including client data isolation across large data lakes, managing asynchronous data collection from field technicians and safely leveraging GenAI to explore GIS data in new ways. Listen to learn about how the country’s 8th largest employee-owned company is using data to manage difficult environmental projects.