In Alibaba Group, data personnel are faced with the following reality: the group\'s data storage has reached the EB level, and some single tables have as many as hundreds of billions of data records per day; in the 24 hours of the \"Double 11 Shopping Carnival\" in 2016, the payment amount reached 120.7 billion yuan, the payment peak reached 120,000 transactions/second, and the order peak reached 175,000 transactions/second. The total amount of data processed by the media live broadcast screen reached tens of billions, and all data needs to be disclosed to the public in real time and accurately... The huge amount of information has brought great challenges to data collection, storage and calculation. \"The Road to Big Data: Alibaba\'s Big Data Practice\" was completed in this context. The Alibaba big data system architecture described in \"The Road to Big Data: Alibaba\'s Big Data Practice\" is designed to meet the ever-changing business needs while achieving high scalability, flexibility and high performance of data presentation. \"The Road to Big Data: Alibaba\'s Big Data Practice\" was organized and written by Alibaba\'s Data Technology and Product Department. It is an important cornerstone for Alibaba to share its understanding of big data and create data intelligence with ecological partners. I believe that the practice and thinking in \"The Road to Big Data: Alibaba\'s Big Data Practice\" will be of great inspiration and reference significance to peers.
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