The invention relates to a method and a
system for storing and backing up
electric power data of a data-in-data
station based on use popularity, and belongs to the technical field of data-in-data stations, and the method comprises the following steps: classifying
electric power business data into hot data, temperature data and cold data based on preset
access frequency, time window and data volume index; according to a
classification result and a business importance degree, storing hot data in an SSD cloud disk or a memory
database, storing temperature data in a distributed
column database, and compressing cold data and then archiving the cold data to an
object storage or a
tape library; dynamically configuring differentiated
backup strategies for different types of data; automatic scheduling of storage and
backup is realized through a cloud platform component, and hot switching of master and slave databases, OSS archived
data recovery by a DataWorks tool and a remote multi-copy
recovery mechanism are supported; and migrating data in advance in combination with a historical access prediction popularity trend, and triggering cold
data compression and archiving when storage resources exceed 80%. The method is suitable for power industry scenes, the storage cost is optimized, and the data calling efficiency is improved.