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Data Migration
With the expansion of the mobile Internet has come explosive growth in data. Data forms and data processing requirements have also undergone profound changes. In addition, application silos and data silos have become the biggest obstacles to enterprises' digital transformation. The main reasons for data silos include:
- The information channels of different departments generate different data storage formats.
- Departments define data based on their own business. As a result, there is no standardized definition of data and the same data may be given different meanings.
In data governance, we may face challenges such as scattered resources, data unavailability, and siloed applications.
The following are the most urgent issues that enterprises need to address:
- Quickly integrating new and historical data to avoid information silos
- Processing and analyzing various types of data with different value densities in a cost-effective, efficient, and real-time manner to meet business requirements
- Turning data into assets and paving the way for data-driven innovation to stimulate business growth
data-management-and-analytics-platform.rst typical-data-lake.rst big-data-migration.rst