Systems | Development | Analytics | API | Testing

Qlik AutoML Series - Predict, Explain, Act - Explainer

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!

Connecting to Microsoft Azure SQL Server with Astera Data Stack

In this video, we'll guide you through the process of connecting to Microsoft Azure SQL Server using Astera Data Stack. Users can connect to Azure SQL Databases using various objects, including Database Table Source, Database Table Destination, and SQL-related tasks. Contents of the video: Introduction to connecting with Microsoft Azure SQL Server.

Using GitLab With Helix QAC

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.

The Real Cost of Ignoring Red Alerts in Software Quality

57% of consumers are willing to switch to a competitor after three or four negative interactions. And that's being generous—sometimes it only takes one or two. Companies can’t afford to ignore red alerts anymore. Take Amazon's checkout flow, for example. It always works because they prioritize testing it rigorously to ensure their core business can generate revenue, even if other features are less polished.

EP11: Cell-Based Architecture

In this special edition, hosts Sanjiva and Asanka are joined by WSO2 co-founder Paul Fremantle for an in-person recording in the studio. Sanjiva leads the discussion, while Paul and Asanka, co-authors of the cell-based architecture, share their insights and experiences. Together, they explore the core principles of cell-based architecture, its practical applications, and how it reshapes modern software architecture.

Shift left to write data once, read as tables or streams

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.

How to source data from AWS DynamoDB to Confluent using DynamoDB Streams and AWS Lambda

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.