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Home > Information Technology > Data Extraction from Oracle to AWS Datalake

Data Extraction from Oracle to AWS Datalake

Preparation

Identify the data to be extracted from Oracle database

Determine the required data extraction frequency

Plan and allocate appropriate resources for the extraction process

Ensure the Oracle database has the necessary permissions for extraction

Set up an AWS Datalake environment for data storage

Oracle Database Setup

Verify the Oracle database connectivity and accessibility

Check the compatibility of the Oracle version with the extraction tools

Ensure the necessary Oracle drivers are installed

Validate the database schema and tables to extract

Confirm the availability of required database credentials

AWS Datalake Setup

Create an AWS S3 bucket to store the extracted data

Set appropriate permissions and access control for the bucket

Ensure the necessary AWS credentials are available

Verify the connectivity and accessibility of the AWS Datalake environment

Extraction Tools and Approach

Select an appropriate data extraction tool for Oracle to AWS Datalake extraction

Install and configure the extraction tool on the extraction server

Test the connectivity between the extraction server and Oracle database

Determine the extraction approach (full, incremental, or delta)

Define the extraction logic and filters for data selection

Data Extraction Process

Set up the necessary extraction scripts or queries

Execute the extraction process to fetch the data from Oracle

Monitor the extraction progress and log any errors or issues

Validate the extracted data for accuracy and completeness

Handle any data transformation or cleansing requirements during extraction

Error Handling and Retry Mechanism

Define error handling and retry mechanisms for failed extractions

Set up appropriate logging and error notification mechanisms

Implement retry logic for failed extraction attempts

Monitor and resolve any recurring extraction errors

Data Transfer to AWS Datalake

Establish a secure connection between the extraction server and AWS Datalake

Transform the extracted data into the desired format (if required)

Transfer the extracted data to the designated AWS S3 bucket

Validate the transferred data in the AWS Datalake for accuracy

Schedule and Automation

Define a schedule for regular data extraction based on requirements

Automate the extraction process using scheduling or orchestration tools

Test the automated extraction process to ensure reliability

Monitor the extraction schedule and make adjustments as necessary

Documentation and Maintenance

Document the extraction process, tools, and configurations

Update the documentation with any changes or enhancements

Train relevant personnel on the extraction process and tools

Regularly review and maintain the extraction scripts and configurations

Validation and Testing

Perform thorough testing of the extraction process and tools

Validate the extracted data against the source Oracle database

Compare the extracted data with expected results

Conduct performance testing to ensure optimal extraction speed

Security and Compliance

Ensure data security during the extraction process

Comply with any relevant data protection regulations

Apply appropriate encryption for data in transit and at rest

Securely manage the access controls and credentials used in extraction

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