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Data extraction is the act or process of retrieving data out of data sources for further data processing or data storage. The import into the intermediate extracting system is thus usually followed by data transformation and possibly the addition of metadata prior to export to another stage in the data workflow.
In computing, data transformation is the process of converting data from one format or structure into another format or structure. It is a fundamental aspect of most data integration and data management tasks such as data wrangling, data warehousing, data integration and application integration.
The load phase loads the data into the end target, which can be any data store including a simple delimited flat file or a data warehouse. Depending on the requirements of the organization, this process varies widely. Some data warehouses may overwrite existing information with cumulative information; updating extracted data is frequently done on a daily, weekly, or monthly basis.
Data warehouse migration is the process of moving an existing data warehouse to a new environment, whether it's on-premise, hybrid, or cloud-based. This involves data restructuring, performance optimization, and ensuring minimal downtime.
ETL (Extract, Transform, Load) migration to the cloud involves shifting traditional ETL processes from on-premise infrastructure to cloud-based platforms. This enhances scalability, reduces costs, and improves data processing efficiency.
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Anjane Technologies helps businesses harness the power of Data Analytics to unlock valuable insights from their data. We offer a range of services, including data extraction, transforming, and loading to create a unified view of your data from different sources in a single place.
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