Qlik Talend Overview and Demo of AI-Assisted Data Engineering

Qlik Talend Cloud merges advanced data integration with AI-augmented automation, ensuring data quality and accelerating AI adoption. With both no-code and pro-code options, it simplifies data handling, enabling your team to tackle AI projects with ease. Our ‘Modern Data Engineering’ capabilities support rapid setup and deployment of data pipelines, and our patented Qlik Talend Trust Score™ for AI measures data validity and quality, ensuring trustworthy AI-driven insights.

At Tech Field Day Experience at Qlik Connect 2024, Dan Potter and Tim Garrod from Qlik presented an overview and demo of Qlik Talend Cloud, emphasizing AI-assisted data engineering. Celebrating the one-year anniversary of Qlik’s acquisition of Talend, the presentation highlighted the integration of Qlik’s real-time ELT capabilities with Talend’s ETL, data quality, and application integration strengths.

The session focused on three main areas:

1. Data Movement and Transformation: Tim Garrod demonstrated building robust data pipelines using Qlik Talend Cloud. He showcased the platform’s ability to handle diverse data sources and formats, supporting both real-time and batch processing. The demo included the use of Qlik’s change data capture (CDC) for real-time data replication and transformation, emphasizing the platform’s flexibility for both no-code and pro-code users.
2. Data Trust: The presentation introduced the Qlik Talend Trust Score™, which measures data validity and quality. This feature ensures that data used for AI, analytics, and operations is reliable. Tim discussed the integration of data quality capabilities from Talend, including data stewardship for business user involvement in data remediation.
3. Data Accessibility: The demo showcased how Qlik Talend Cloud makes data more accessible to business users and data scientists. This includes the generation of AI-ready data sets and documents, and the ability to deliver data to vector stores for AI applications. The platform also supports querying and interacting with data using natural language processing (NLP).

Throughout the presentation, the speakers emphasized the platform’s automation capabilities, reducing the need for manual coding and enhancing efficiency. They also highlighted future integrations and enhancements, including support for unstructured data and expanding capabilities across major cloud providers like AWS, Azure, and Google Cloud.

Recorded in Orlando, Florida at Qlik Connect 2024 on June 3, 2024. Watch the entire session at https://techfieldday.com/appearance/qlik-presents-at-tech-field-day-experience-at-qlik-connect-2024/ or visit https://Qlik.com for more information.