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FAQs
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
Oracle DB is a fully scalable integrated cloud application and platform service; it is also referred to as a relational database architecture. It provides management and processing of data for both local and wide and networks. Offering software-as-a-service (SaaS), platform-as-a-service (PaaS), and infrastructure-as-a-service (IaaS), it sells a large variety of enterprise IT solutions that help companies streamline the business process, lower costs, and increase productivity.
Oracle DB provides access to a wide range of data types, including:
• Relational data: This includes tables, views, and indexes that are used to store and organize data in a structured manner.
• Spatial data: This includes data that is related to geographic locations, such as maps, satellite imagery, and GPS coordinates.
• Time-series data: This includes data that is related to time, such as stock prices, weather data, and sensor readings.
• Multimedia data: This includes data that is related to images, videos, and audio files.
• XML data: This includes data that is stored in XML format, such as web pages, documents, and other structured data.
• JSON data: This includes data that is stored in JSON format, such as web APIs, mobile apps, and other data sources.
• Graph data: This includes data that is related to relationships between entities, such as social networks, supply chains, and other complex systems.
Overall, Oracle DB's API provides access to a wide range of data types that can be used for a variety of applications, from business intelligence and analytics to machine learning and artificial intelligence.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
Oracle DB is a fully scalable integrated cloud application and platform service; it is also referred to as a relational database architecture. It provides management and processing of data for both local and wide and networks. Offering software-as-a-service (SaaS), platform-as-a-service (PaaS), and infrastructure-as-a-service (IaaS), it sells a large variety of enterprise IT solutions that help companies streamline the business process, lower costs, and increase productivity.
Teradata is a multi-cloud data platform for enterprise analytics companies that provides solutions for business challenges from beginning to end. With Teradata, you have the ability to manage large and varied data workloads now and in the future. The company offers data platforms, applications, and services for data warehousing and analytics.
1. Open the Airbyte platform and navigate to the "Sources" tab on the left-hand side of the screen.
2. Click on the "Oracle DB" source connector and select "Create new connection".
3. Enter a name for your connection and click "Next".
4. In the "Connection Configuration" section, enter the following information:
- Host: the hostname or IP address of your Oracle DB server
- Port: the port number used to connect to your Oracle DB server
- Database: the name of the database you want to connect to
- Username: your Oracle DB username
- Password: your Oracle DB password
5. Click "Test connection" to ensure that the connection is successful.
6. If the connection is successful, click "Next" to proceed to the "Schema Selection" section.
7. In the "Schema Selection" section, select the schema(s) you want to replicate data from.
8. Click "Create connection" to save your connection settings.
9. You can now create a new Oracle DB source in Airbyte and start replicating data from your Oracle DB database.
1. First, navigate to the Airbyte website and log in to your account.
2. Once you are logged in, click on the "Destinations" tab on the left-hand side of the screen.
3. Scroll down until you find the Teradata destination connector and click on it.
4. You will be prompted to enter your Teradata database credentials, including the host, port, username, and password.
5. Once you have entered your credentials, click on the "Test Connection" button to ensure that Airbyte can successfully connect to your Teradata database.
6. If the connection is successful, click on the "Save" button to save your Teradata destination connector settings.
7. You can now create a new pipeline in Airbyte and select Teradata as your destination connector.
8. Follow the prompts to configure your pipeline and map your source data to your Teradata database.
9. Once your pipeline is configured, you can run it to start transferring data from your source to your Teradata database.
With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.
We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
TL;DR
This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:
- set up Oracle DB as a source connector (using Auth, or usually an API key)
- set up Teradata as a destination connector
- define which data you want to transfer and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.
This tutorial’s purpose is to show you how.
What is Oracle DB
Oracle DB is a fully scalable integrated cloud application and platform service; it is also referred to as a relational database architecture. It provides management and processing of data for both local and wide and networks. Offering software-as-a-service (SaaS), platform-as-a-service (PaaS), and infrastructure-as-a-service (IaaS), it sells a large variety of enterprise IT solutions that help companies streamline the business process, lower costs, and increase productivity.
What is Teradata
Teradata is a multi-cloud data platform for enterprise analytics companies that provides solutions for business challenges from beginning to end. With Teradata, you have the ability to manage large and varied data workloads now and in the future. The company offers data platforms, applications, and services for data warehousing and analytics.
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Prerequisites
- A Oracle DB account to transfer your customer data automatically from.
- A Teradata account.
- An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.
Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including Oracle DB and Teradata, for seamless data migration.
When using Airbyte to move data from Oracle DB to Teradata, it extracts data from Oracle DB using the source connector, converts it into a format Teradata can ingest using the provided schema, and then loads it into Teradata via the destination connector. This allows businesses to leverage their Oracle DB data for advanced analytics and insights within Teradata, simplifying the ETL process and saving significant time and resources.
Methods to Move Data From Oracle db to Teradata
- Method 1: Connecting Oracle db to Teradata using Airbyte.
- Method 2: Connecting Oracle db to Teradata manually.
Method 1: Connecting Oracle db to Teradata using Airbyte
Step 1: Set up Oracle DB as a source connector
1. Open the Airbyte platform and navigate to the "Sources" tab on the left-hand side of the screen.
2. Click on the "Oracle DB" source connector and select "Create new connection".
3. Enter a name for your connection and click "Next".
4. In the "Connection Configuration" section, enter the following information:
- Host: the hostname or IP address of your Oracle DB server
- Port: the port number used to connect to your Oracle DB server
- Database: the name of the database you want to connect to
- Username: your Oracle DB username
- Password: your Oracle DB password
5. Click "Test connection" to ensure that the connection is successful.
6. If the connection is successful, click "Next" to proceed to the "Schema Selection" section.
7. In the "Schema Selection" section, select the schema(s) you want to replicate data from.
8. Click "Create connection" to save your connection settings.
9. You can now create a new Oracle DB source in Airbyte and start replicating data from your Oracle DB database.
Step 2: Set up Teradata as a destination connector
1. First, navigate to the Airbyte website and log in to your account.
2. Once you are logged in, click on the "Destinations" tab on the left-hand side of the screen.
3. Scroll down until you find the Teradata destination connector and click on it.
4. You will be prompted to enter your Teradata database credentials, including the host, port, username, and password.
5. Once you have entered your credentials, click on the "Test Connection" button to ensure that Airbyte can successfully connect to your Teradata database.
6. If the connection is successful, click on the "Save" button to save your Teradata destination connector settings.
7. You can now create a new pipeline in Airbyte and select Teradata as your destination connector.
8. Follow the prompts to configure your pipeline and map your source data to your Teradata database.
9. Once your pipeline is configured, you can run it to start transferring data from your source to your Teradata database.
Step 3: Set up a connection to sync your Oracle DB data to Teradata
Once you've successfully connected Oracle DB as a data source and Teradata as a destination in Airbyte, you can set up a data pipeline between them with the following steps:
- Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
- Choose your source: Select Oracle DB from the dropdown list of your configured sources.
- Select your destination: Choose Teradata from the dropdown list of your configured destinations.
- Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
- Select the data to sync: Choose the specific Oracle DB objects you want to import data from towards Teradata. You can sync all data or select specific tables and fields.
- Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
- Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
- Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Oracle DB to Teradata according to your settings.
Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Teradata data warehouse is always up-to-date with your Oracle DB data.
Method 2: Connecting Oracle db to Teradata manually
Moving data from Oracle to Teradata without using third-party connectors or integrations can be a complex process, but it can be accomplished by exporting data from Oracle into a flat file and then loading that file into Teradata. Here's a step-by-step guide:
Step 1: Prepare Oracle Database for Export
1. Log in to the Oracle database as a user with the necessary permissions to read the data that needs to be exported.
2. Identify the data you wish to move. Determine which tables or subsets of data will be transferred to Teradata.
3. Optimize the database for export by gathering fresh statistics on the tables and indexes to ensure efficient data retrieval.
4. Ensure sufficient space for the export file on the server or on an external storage device.
Step 2: Export Data from Oracle
1. Use Oracle's `exp` utility or `expdp` (Data Pump) if you're using Oracle 10g or later. Data Pump is faster and more flexible.
2. Create a parameter file (optional) to store your export parameters. This can simplify the command you'll need to run.
3. Execute the export command with the appropriate parameters. Here's an example using Data Pump:
```shell
expdp username/password@service_name DIRECTORY=export_dir DUMPFILE=export_file.dmp TABLES=table1,table2 SCHEMAS=schema_name
```
Replace `username`, `password`, `service_name`, `export_dir`, `export_file.dmp`, `table1`, `table2`, and `schema_name` with your actual values.
4. Monitor the export process for any errors or warnings in the log file.
Step 3: Prepare the Data for Teradata
1. Convert the dump file to a flat file if necessary. You might need to use Oracle utilities or write custom scripts to convert the data into a Teradata-compatible format (usually delimited text).
2. Transfer the flat file to the Teradata server or to a location accessible by the Teradata server.
Step 4: Prepare Teradata for Data Loading
1. Log in to the Teradata system as a user with the necessary permissions to create tables and load data.
2. Create the target tables in Teradata with the same structure as the Oracle tables. Make sure the data types are compatible.
3. Define the primary index for performance optimization.
Step 5: Load Data into Teradata
1. Use Teradata's `BTEQ` utility for batch processing or `FastLoad` for larger datasets.
2. Write a control file for the loading utility, specifying the file format, error handling, and other options.
3. Execute the loading command. Here's an example using `BTEQ`:
```shell
bteq < load_script.btq
```
And an example `load_script.btq` might look like this:
```sql
.LOGON td_server/username,password;
DATABASE target_database;
.IMPORT VARTEXT ',' FILE=flat_file_path;
.REPEAT * USING (col1 VARCHAR(100), col2 INTEGER, ...)
INSERT INTO target_table (col1, col2, ...);
.LOGOFF;
```
Replace `td_server`, `username`, `password`, `target_database`, `flat_file_path`, `target_table`, and the column definitions with your actual values.
4. Monitor the load process for any errors or warnings in the output.
Step 6: Verify Data Integrity
1. Perform counts and sample data checks on both Oracle and Teradata to ensure the data was loaded correctly.
2. Check for any discrepancies or data loss during the transfer.
Step 7: Perform Cleanup
1. Remove the flat file from the Teradata server if it is no longer needed.
2. Drop any temporary structures or files created during the export or import process.
Notes:
- The steps above assume that you have the necessary permissions and access to both Oracle and Teradata systems.
- The exact commands and syntax may vary depending on the versions of Oracle and Teradata you are using, as well as your operating system.
- Always test the process with a small subset of data before attempting to move large volumes.
- Consider the impact of character set differences and ensure proper conversion between Oracle and Teradata.
- Plan for downtime or a maintenance window if the data transfer affects production systems.
This guide provides a high-level overview. You may need to consult Oracle and Teradata documentation for specific commands and syntax tailored to your environment and data requirements.
Use Cases to transfer your Oracle DB data to Teradata
Integrating data from Oracle DB to Teradata provides several benefits. Here are a few use cases:
- Advanced Analytics: Teradata’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Oracle DB data, extracting insights that wouldn't be possible within Oracle DB alone.
- Data Consolidation: If you're using multiple other sources along with Oracle DB, syncing to Teradata allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
- Historical Data Analysis: Oracle DB has limits on historical data. Syncing data to Teradata allows for long-term data retention and analysis of historical trends over time.
- Data Security and Compliance: Teradata provides robust data security features. Syncing Oracle DB data to Teradata ensures your data is secured and allows for advanced data governance and compliance management.
- Scalability: Teradata can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Oracle DB data.
- Data Science and Machine Learning: By having Oracle DB data in Teradata, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
- Reporting and Visualization: While Oracle DB provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Teradata, providing more advanced business intelligence options. If you have a Oracle DB table that needs to be converted to a Teradata table, Airbyte can do that automatically.
Wrapping Up
To summarize, this tutorial has shown you how to:
- Configure a Oracle DB account as an Airbyte data source connector.
- Configure Teradata as a data destination connector.
- Create an Airbyte data pipeline that will automatically be moving data directly from Oracle DB to Teradata after you set a schedule
With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.
We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
Ready to get started?
Frequently Asked Questions
Oracle DB provides access to a wide range of data types, including:
• Relational data: This includes tables, views, and indexes that are used to store and organize data in a structured manner.
• Spatial data: This includes data that is related to geographic locations, such as maps, satellite imagery, and GPS coordinates.
• Time-series data: This includes data that is related to time, such as stock prices, weather data, and sensor readings.
• Multimedia data: This includes data that is related to images, videos, and audio files.
• XML data: This includes data that is stored in XML format, such as web pages, documents, and other structured data.
• JSON data: This includes data that is stored in JSON format, such as web APIs, mobile apps, and other data sources.
• Graph data: This includes data that is related to relationships between entities, such as social networks, supply chains, and other complex systems.
Overall, Oracle DB's API provides access to a wide range of data types that can be used for a variety of applications, from business intelligence and analytics to machine learning and artificial intelligence.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey: