The Design of a Wildlife Video Data Storage System Based on Hbase

Wildlife is a valuable natural resource and an important component of biodiversity and natural ecosystems. This design focuses on wildlife video data and proposes an automated deployment tool for the HBase database environment, quickly establishing a data foundation for training models. The design primarily includes using Shell scripts to automate the deployment of Hadoop and HBase clusters, simplifying the deployment process and improving efficiency. It also involves using Python to serialize wildlife videos and store them in the created or selected HBase tables. After performing data cleansing and serialization on the video data, it is stored in the corresponding table. This design introduces automated deployment and storage technology in the context of wildlife conservation, enhancing the efficiency of environment setup, reducing manual intervention errors, and improving reliability.