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Learn how to build a real-time data lakehouse through this 32-minute conference talk from The ASF's Data Lake & Data Warehouse Track. Discover practical implementation strategies and real-world insights from Apache Flink Committer Congxian Qiu and Senior Big Data Engineer Zhuojun Jiang from China Telecom Cloud Technology Co., Ltd. Explore the integration of data lake and data warehouse architectures to create a unified platform that supports both batch and streaming data processing. Gain understanding of the technical challenges, architectural decisions, and best practices involved in implementing real-time data lakehouse solutions at enterprise scale. Examine how Apache technologies and modern data engineering approaches can be leveraged to build efficient, scalable data infrastructure that enables real-time analytics and decision-making capabilities.
