Results-oriented individual with a passion for continuous learning and innovation. Known for leveraging analytical thinking and creativity to solve problems and deliver high-impact solutions in fast-paced environments.
1. Participate in the architecture design at the beginning of the project;
2. Use sqoop to import MySQL business data into the ods layer of the hive table;
3. Use spark to clean and convert log data to generate formatted data;
4. Hive demand development;
(1) Form fact tables according to order themes, product themes, store themes, and user themes;
(2) Implement zipper tables for order business data;
(3) Count various indicators according to requirements.
5. Generate topic wide tables with presto in-memory statistics;
6. FineBI data visualization;
7. Later Hive optimization work.