Qlik brings agentic execution to data engineering
Briefly

Qlik brings agentic execution to data engineering
""Most companies do not struggle to imagine AI use cases. They struggle to deliver the trusted, current data those use cases depend on," said CEO Mike Capone."
"Declarative pipelines give data engineers a more language-driven way to create and customize pipelines, with context-aware suggestions for next steps."
"An AI Assistant for Talend Studio helps developers write SQL using natural language, create documentation, and generate jobs."
"Qlik is adding native streaming to its Open Lakehouse, enabling teams to continuously combine event data with batch and CDC workloads in a single environment."
Qlik is introducing four new capabilities to enhance its agentic strategy in data engineering. These include declarative pipelines for easier pipeline creation, an AI Assistant for Talend Studio to assist in SQL writing and documentation, real-time message routing for agentic processes, and native streaming for Open Lakehouse. These advancements aim to help data teams deliver AI-ready data more efficiently, addressing the challenges posed by manual processes in data management and quality.
Read at Techzine Global
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