Shift Left is a rethink of how we circulate, share and manage data in our organizations using DataStreams, Change Data Capture, FlinkSQL and Tableflow. It addresses the challenges with multi-hop and medallion architectures using batch pipelines by shifting the data preparation, cleaning and schemas to the point where data is created and as a result, you can build fresh trustworthy datasets as streams for operational use cases or Apache Iceberg tables for analytical use cases.

Predict, Explain, Act with Qlik AutoML, a powerful tool that brings automated machine learning to the hands of business users and data analysts. In this all new series, revist and learn how Qlik AutoML allows you to build predictive models without needing deep technical expertise in data science. Follow along in the next few videos linked in the description as Mike Tarallo walks you through the key features, from experiment to deployment, and see how Explain-ability is defined and used to gain insights that drive decision-making. Perfect for those looking to enhance their analytics with AI-powered predictions!

There are many ways to integrate Helix QAC static analysis within a continuous integration system like GitLab. Helix QAC's full CI/CD integration accelerates the development pipeline and provides maximum flexibility across the entire organization. In this video, we demonstrate the GitLab and Helix QAC integration with a merge request example. Watch to see how easy it is to compare branches, find and fix issues, and automate CI analysis during key phases of development.

In this video, we will learn how to deploy a data asset in Astera Data Stack to govern them in Astera's Data Governance Platform.

In this video, we will learn access Astera's Data Governance Platform.

This is a one-minute video showing an animated architectural diagram of the integration between Amazon DynamoDB and Confluent Cloud using DynamoDB Streams and AWS Lambda. Details of the integration are provided via narration.

In the last decade, we've leaned heavily on VC-backed tools like @Sumo Logic and @Splunk to help us sift through endless data and logs. These tools are invaluable, but now we're drowning in data, making it tough to focus on what truly matters. This challenge is no different in software testing. Here, many face the dilemma of running thousands of tests nightly with hundreds failing. It’s a sea of alerts and noise, leaving us questioning what we're actually testing.

Oracle users like you crave insights, but those intricate schemas and countless table joins stand in your way. BI tools like Power BI or Tableau offer the perfect platform to build dashboards and reports, but wrestling with technical jargon to access data slows you down. Imagine a world where that data becomes readily available. insightsoftware Reporting for Oracle makes it easy for users to analyze, report on, and share data from Oracle ERP.

Office Hours: Optimizing Test Execution Speed Are slow tests slowing you down? Watch this pre-recorded presentation from our Sauce Community Office Hours session where Diego Molina, Developer Advocate, dives into the best practices for optimizing test execution speed!

Ever thought about the power of glanceable and audible information? One team used a pattern of white noise—crickets—to indicate their site's status. When something went wrong, the crickets stopped, and everyone immediately knew to take action. It’s a brilliant way to process information passively and focus on what truly matters. Check out the most recent episode of Test Case Scenario as we discuss how to cut through the noise and highlight what’s truly important.