By Technology
Data Migration
Data migration is the process of moving data from one or multiple systems to a different system. It can be a complex and challenging task, especially when dealing with large volumes of data, diverse data sources, and different data formats. Some of the common challenges of data migration from a data engineering perspective are:
Challenges with Data Migration
- Data quality: Ensuring that the data is accurate, complete, consistent, and relevant in the new system.
- Data compatibility: Dealing with potential issues such as data type mismatches, schema differences, encoding formats, and data standards between the source and target systems.
- Data security: Protecting the data from unauthorized access, modification, or leakage during and after the migration.
- Data performance: Minimizing the impact of data migration on the source and target systems, as well as the network bandwidth and latency.
- Data governance: Managing the metadata, policies, and procedures related to the data migration.
Advantages with Ask On Data
- Quick migration of data with simple chat interface
- Ensuring data quality using various chat based operations like data cleansing, data transformation and data testing
- Ensuring data compatibility with various casting and other kind of transformations
- Fast speed of development
- NO dependence on tech developers
- Data governance with automatic documentation and other features