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Oracle To S3

Ready-to-use data delivered to Amazon S3, Amazon Redshift, and Snowflake at lightning speeds with BryteFlow data management tool. This automated tool is completely self-service, low on maintenance and requires no coding. It can integrate data from any API and legacy databases like SAP, Oracle, SQL Server, and MSQL.

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Oracle To S3

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  1. Migrating Oracle Database to Amazon S3 – Process and Tools Organizations all over the world are strengthening their data management requirements. Old systems are being replaced by the latest technologically advanced platforms.  Many businesses today are migrating their data from Oracle to S3. This is required if the current server is inadequate for executing intricate analytical queries or data from multiple databases have to be combined. Further by shifting to S3 which is fully cloud-based, there is no need to invest in additional hardware or software for scaling up data processing. 

  2. Further, S3 offers a high degree of data performance, security, and scalability that can be used to backup, restore, and archive enterprise applications, IoT devices, and big data analytics. Data durability of S3 is an amazing 99.999999999 (11 9s) with the capability to store unlimited applications. 

  3. Migrating Oracle Database to Amazon S3 Cloud Two methods for migrating data Oracle to S3 -  Importing Data, Oracle Data Pump, and Amazon S3 bucket – Oracle source data is exported through the Oracle DBMS_DATAPUMP package. This file is then loaded to an Amazon S3 Bucket and downloaded to the DATA_PUMP_DIR directory on the RDS Oracle DB instance. Finally, data from the loaded file is imported and copied to the Amazon RDS Oracle DB instance using the DBMS_DATAPUMP package. 

  4. Importing Data, Oracle Data Pump, and a Database Link – Here, the Oracle Data Pump along with the Oracle DBMS_FILE_TRANSFER package is used to connect to a source Oracle instance. This can be either an Amazon RDS for Oracle database instance or an Amazon EC2 instance. The Oracle database is exported to a dump file through a DBMS_DATAPUMP package and then copied to the Amazon RDS Oracle DB instance using a linked database link. Lastly, the data is imported through the DBMS_DATAPUMP package.  Both these processes can be done efficiently provided the right tools to migrate data from Oracle to S3are chosen. 

  5. Effective Tools to Migrate Oracle Database to Amazon S3 Why is it critical to choose the best and most optimized tools to migrate an Oracle database to Amazon S3? The most critical reason is that with below-par tools, writing a script or a combination of them can be a long-drawn-out and tedious process. Also, the incremental load can be difficult to code and execute without facing data loss or data inconsistencies. With most businesses today requiring real-time data output and analytics more than once in 24 hours, only the most efficient tools should be used.  What then should the attributes be of the most optimized tools? The most critical is that it should complete the migration process in three easy steps.  · Connect to and configure the Oracle database · In the replication mode, use an SQL query to select the database tables to be moved via load data · Configure the Amazon S3 Data Warehouse for data load. Once these three steps are completed, the migration process is through. 

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