introduction 1.1 Introduction to Apache Impala 1.2 Overview of Divine Data Warehouse Priority scheduling practice 2.1 Priority Scheduling principle 2.2 Application and effect of Shenze data warehouse Elastic computing practice 3.1 Elastic calculation principle 3.2 Application and effect of Shenze data warehouse Materialized view practice 4.1 Principle of materialized view 4.2 Application and effect of Shenze data warehouse Summary and prospect 5.1 Review of main views 5.2 Future development and challenges

Speakers:

Zhang Qianqiong: Shence Network Technology (Beijing) Co., LTD, Big Data Architect, I am a big data architect focusing on distributed computing and storage systems. I have a deep understanding of distributed computing, data storage and data processing, and the ability to apply best practices to build efficient big data solutions. I have accumulated rich experience in the optimization of Apache systems such as Hadoop, Impala, Flink, Kudu, etc. I have worked in Tencent’s Infrastructure Department, Baidu’s Big Data Department, and currently work in Sensorsdata’s Basic Research and Development department.