At this moment I do not have a personal relationship with a computer.
– Janet Reno
Designing a data pipeline to bring data from on-premises Oracle to AWS involves several steps.
Highlights
- Source Data Connection
- Data Extraction
- Data Transformaton and Cleaning
- Loading Data to AWS
- Orchestration of Pipeline
- Monitoring the pipeline
Key terms
- Data Ingestion
- Source systems
- Data Extraction
- Data Cleansing
- Orchestration
- Scheduling
- Cloudwatch
- Debugging
Here is a high-level overview of the process:
- Connect to the on-premises Oracle database: You will need to establish a connection to the Oracle database running on-premises. You can use a JDBC driver to connect to the Oracle database and extract data.
- Extract data from the Oracle database: Once you have established a connection, you can extract the data using SQL queries or other database tools. It is important to consider the volume of data that needs to be extracted and any performance limitations.
- Transform and clean the data: The extracted data may need to be transformed and cleaned to ensure it meets the requirements of the AWS services you plan to use. You may need to perform data mapping, filtering, aggregation, or other transformations.
- Load the data into AWS: After the data is transformed and cleaned, you can load it into AWS using a suitable data storage service. You can choose from a variety of services such as Amazon S3, Amazon RDS, or Amazon Redshift.
- Schedule the pipeline: Once the pipeline is set up, you can schedule it to run at regular intervals to ensure that the data is updated in real-time. You can use tools such as AWS Data Pipeline or AWS Glue to automate the process.
- Monitor the pipeline: You should monitor the pipeline to ensure that it is running smoothly and that any issues are resolved quickly. You can use AWS CloudWatch to monitor the pipeline and set up alerts for any issues.
Overall, designing a data pipeline to bring data from on-premises Oracle to AWS requires careful planning and attention to detail. It is important to ensure that the pipeline is secure, reliable, and scalable to meet the changing needs of your business.