Qlik AutoML Series - Create the Predictive Model - Video 1
See how easy it is to create a Qlik AutoML Predictive Model.
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.
Logging in to Astera's Data Governance Platform
In this video, we will learn access Astera's Data Governance Platform.
Deployment of Assets in Astera Data Stack
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.
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.
The critical role of a hybrid cloud architecture in ensuring regulatory compliance in financial services
A prominent global bank was thrust into the spotlight for all the wrong reasons. The institution was hit with a staggering fine – multiple billions – for failing to comply with new data protection regulations that ultimately led to a customer data breach. The breach, which exposed sensitive information, not only resulted in financial penalties but also caused significant reputational damage.
Moving Your AI Pilot Projects to Production
Without a doubt, Artificial Intelligence (AI) is revolutionizing businesses, with Australia’s AI spending expected to hit $6.4 billion by 2026. However, according to The State of Enterprise AI and Modern Data Architecture report, while 88% of enterprises adopt AI, many still lack the data infrastructure and team skilling to fully reap its benefits. In fact, over 25% of respondents stated they don’t have the data infrastructure required to effectively power AI.
How Developers Can Use Generative AI to Improve Data Quality
It sounds counterintuitive—using a technology that has trust issues to create more trustworthy data. But smart engineers can put generative AI to work to improve the quality of their data, allowing them to build more accurate and trustworthy AI-powered applications.
Empowering Analytics Teams: Qlik AutoML's Next Evolution
In today's data-driven business landscape, the ability to predict trends, explain drivers, and act on insights is no longer a luxury—it's a necessity. Yet for many organizations, the path from data to predictive intelligence remains challenging. Data science resources are scarce, and traditional tools often require specialized expertise that most analytics teams lack. At Qlik, we believe that the power of predictive analytics should be accessible to all.