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Oracle To Snowflake

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Oracle To Snowflake

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  1. Guide to Migrating Oracle Database to Snowflake

  2. There are several reasons why organizations today opt for migrating Oracle database to cloud-based solution Snowflake. But first, a look at the two in isolation will be in order.  Oracle Oracle is a Relational Database Management System (RDMS) offering several platforms such as the Standard, Personal, Enterprise, and Express editions. Businesses can choose one depending on their specific needs. Users can scale up or down in the usage of storage facilities through the Real Application and Clustering Feature. There is also no break in data computing facilities in the event of an outage and hence there is no downtime and stoppage of work. Most importantly, Oracle provides high levels of data security with mechanisms to track data access and usage.

  3. With these high-end features, why do businesses want to migrate databases from Oracle to Snowflake? Snowflake Snowflake is a recently-introduced, cloud-based data warehousing solution with multiple cutting-edge features. One of the critical ones is assisting users to scale up and down in data storage, paying only for the quantum of resources used. Since Snowflake runs on the cloud, it has unlimited computing and storage facilities and users can utilize and pay according to the level of usage. This data warehouse platform has excellent computational abilities. There is no lag or drop in performance even when multiple users simultaneously execute intricate queries. 

  4. But most critically, Snowflake ensures business continuity and zero downtime in case of an outage. When the primary database fails during a disaster, secondary databases in another location or region in the cloud are automatically triggered and work goes on as usual. When the outage is resolved, the primary databases are automatically updated with the changes made in that period.  Migrating Database from Oracle to Snowflake The process of migrating a database from Oracle to Snowflake can be completed in four steps.  · Start with extracting data from the Oracle database and put it in a CSV file with the SQL Plus query tool available in the database server using the “Spool” command. The extraction process will continue till the command is switched off.  · The extracted data has to be processed and formatted so that it matches the type that is supported by the Snowflake architecture. This is critical in Oracle to Snowflake migration. Currently, Snowflake supports Big5, UTF-16, EUC-KR, UTF-8, and ISO-8859-1 to 9. If this is not possible, an exclusive format has to be created with the “File Format” option and the date and time marked on it.  · The formatted data cannot be loaded directly into Snowflake but has to be kept in an internal or external staging area. · Finally, the files have to be copied from the staging area to Snowflake. For small databases, the Data Loading Overview tool of Snowflake is used while the COPY INTO command copies large databases.     This completes the Oracle to Snowflake database migration process which is mostly automated.  

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