Modernize Your Data Lakehouse Strategy with Apache Iceberg and

Qlik Talend Cloud

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The future of enterprise data architecture is shifting toward open, scalable and vendor-flexible lakehouse platforms. Apache Iceberg us rapidly becoming the preferred open table format for organizations looking to modernize analytics, reduce storage and processing costs, and improve data accessibility across cloud platforms.

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Join PIngahla and Qlik for an exclusive on-demand webinar featuring Jason Hall, Evan Leung, VP Professional Services & Solutions at Pingahla, and Nicolas Diaz, Data Engineer at Pingahla, as they break down how organizations are leveraging Apache Iceberg and Qlik Talend Cloud to build scalable, modern data lakehouse architecture without vendor lock-in

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In this session, you'll learn:

• How Apache Iceberg enables open table formats for modern analytics and AI workloads

• How Qlik Talend Cloud integrates with Apache Iceberg and enterprise data lake platforms

• Best practices for managing ingestion, optimization, governance, and large-scale data pipelines

• How organizations can reduce infrastructure costs while improving data flexibility and performance

• Real-world modernization strategies from Pingahla delivery teams and customer implementations

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This webinar also includes practical guidance around Qlik’s new Apache Iceberg connector capabilities, data lake integration strategies, and lessons learned from enterprise modernization initiatives powered by Pingahla and Qlik Talend Cloud.