Migrating Oracle Database to Snowflake

 

Oracle database was launched commercially in 1991 and since then has been the leader in the data landscape of organizations. Oracle enables fast retrieval and storage of data and runs on various hardware and software operating systems. Oracle was one of the first databases to have supported GNU/LINUX.



Given all these features, why do businesses migrate database Oracle to Snowflake?

Snowflake is a cloud-based data warehousing solution. It is independent of any “big data” software or existing database as it operates completely on the cloud. Rather, Snowflake uses a new SQL database engine with advanced technology that is way ahead when measured against other traditional databases.

There are four steps in migrating a database from Oracle to Snowflake.

The first is extracting data from the Oracle database to a CSV file by using the SQL Plus query tool. For mining incremental data, the SQL tool has to be run under specific conditions.

The mined data has to be processed and formatted now. This is because the Snowflake architecture supports certain data types and the extracted data has to match one of them. However, data sets like ISO-8859-1 to 9, Big5, EUC-KR, UTF-8, UTF-16 need not be processed.

The processed and formatted data during Oracle to Snowflake cannot be directly migratedbut has to be stored in a temporary location called the staging area. In an internal location, tables are auto-directed to a stage that is assigned a name with the correct file and time format. For the external stage, Snowflake currently supports Microsoft Azure and Amazon S3.

The final step in migrating the database Oracle to Snowflake is copying the files from the staging location to Snowflake.

Most of these processes are fully automated.

 

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