{"id":1903,"date":"2026-05-13T10:08:19","date_gmt":"2026-05-13T10:08:19","guid":{"rendered":"http:\/\/www.spdata.co.il\/?page_id=1903"},"modified":"2026-08-06T10:51:04","modified_gmt":"2026-08-06T10:51:04","slug":"open-iceberg-lakehouse","status":"publish","type":"page","link":"https:\/\/www.spdata.co.il\/en\/open-iceberg-lakehouse\/","title":{"rendered":"OPEN ICEBERG LAKEHOUSE"},"content":{"rendered":"\n
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\n OPEN ICEBERG LAKEHOUSE <\/h1>\n

\n Create high-performance, cost-efficient iceberg lakehouses <\/h2>\n \n \n \n Book a demo <\/a>\n <\/div>\n\n \n \"Qlik <\/picture>\n <\/div>\n<\/section>\n\n\n
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Qlik simplifies the design, development, and automation of iceberg lakehouses. With native support for Apache Iceberg, it enables efficient management of structured and semi-structured data, reduces query times, and optimizes performance – while maintaining open architecture and a universal catalog<\/p>\n<\/section>\n\n\n\n\n

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\n \"data-video-background-image\" \n\tOpen Video<\/span>\n \n \n <\/svg>\n<\/button> <\/div>\n <\/div>\n<\/section>\n\n\n
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\n \"Iceberg-Optimization\" <\/div>\n\n
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Iceberg Optimization<\/h2>\n

Qlik optimizes high-performance iceberg lakehouses with built-in partitioning, indexing, and schema evolution, reducing storage costs and boosting query speed with automation built for scale.<\/p>\n