How to load data from New York Times to Oracle

Learn how to use Airbyte to synchronize your New York Times data into Oracle within minutes.

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Set up a New York Times connector in Airbyte

Connect to New York Times or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up Oracle for your extracted New York Times data

Select Oracle where you want to import data from your New York Times source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the New York Times to Oracle in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

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TL;DR

set up New York Times as a source connector (using Auth, or usually an API key)
set up Oracle 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 New York Times

The Times Developer Network is our API clearinghouse and community. You need to read the API documentation and browse the application gallery to get the latest news about the New York Times API. If you do not agree to any of the terms below or the NYT Terms of Service, NYT does not grant you a license to use the NYT API. In the event of any inconsistency between these Terms of Use and the Terms of Service, these Terms of Use control.

What is Oracle

An integrated cloud application and platform service, Oracle offers an array of enterprise information technology solutions. Other company offerings include software-as-a-service (SaaS), platform-as-a-service (PaaS, and infrastructure-as-a-service (IaaS). The Oracle Cloud Infrastructure provides companies the convenience of the public cloud combined with the security and control of on-premises infrastructure. Oracle Cloud Applications help companies streamline their business processes, increase productivity and reduce costs with software applications such as Project Portfolio Management, ERP Financials, Procurement, and more.

Integrate New York Times with Oracle in minutes

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Prerequisites

A New York Times account to transfer your customer data automatically from.
A Oracle 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 New York Times and Oracle, for seamless data migration.

When using Airbyte to move data from New York Times to Oracle, it extracts data from New York Times using the source connector, converts it into a format Oracle can ingest using the provided schema, and then loads it into Oracle via the destination connector. This allows businesses to leverage their New York Times data for advanced analytics and insights within Oracle, simplifying the ETL process and saving significant time and resources.

Step 1: Set up New York Times as a source connector

1. First, navigate to the New York Times source connector page on Airbyte's website.
2. Click on the "Setup New York Times Source" button.
3. Enter your New York Times API key in the "API Key" field. If you do not have an API key, you can obtain one by following the instructions on the New York Times API website.
4. Enter the start date and end date for the data you want to retrieve in the "Start Date" and "End Date" fields, respectively.
5. Choose the data you want to retrieve by selecting the appropriate checkboxes under "Streams." You can choose from articles, comments, and tags.
6. Click on the "Test Connection" button to ensure that your credentials are correct and that Airbyte can connect to the New York Times API.
7. If the test is successful, click on the "Create Connection" button to save your settings and start syncing data from the New York Times API to your destination.

Step 2: Set up Oracle as a destination connector

1. First, ensure that you have the necessary credentials to access your Oracle DB. This includes the hostname, port number, database name, username, and password.
2. Open the Airbyte platform and navigate to the "Destinations" tab on the left-hand side of the screen.
3. Scroll down until you find the "Oracle DB" destination connector and click on it.
4. Click on the "Create new connection" button to begin setting up your Oracle DB destination.
5. Enter a name for your connection and fill in the required fields with your Oracle DB credentials.
6. Test the connection to ensure that Airbyte can successfully connect to your Oracle DB.
7. Once the connection is successful, you can configure the settings for your Oracle DB destination. This includes selecting the tables you want to sync, setting up any transformations or mappings, and scheduling the sync frequency.
8. Save your settings and start the sync process. Airbyte will begin pulling data from your source and pushing it to your Oracle DB destination.
9. Monitor the sync process to ensure that it is running smoothly and troubleshoot any issues that may arise.
10. Once the sync is complete, you can access your data in your Oracle DB and use it for analysis, reporting, or any other purposes.

Step 3: Set up a connection to sync your New York Times data to Oracle

Once you've successfully connected New York Times as a data source and Oracle 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 New York Times from the dropdown list of your configured sources.
Select your destination: Choose Oracle 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 New York Times objects you want to import data from towards Oracle. 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 New York Times to Oracle according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Oracle data warehouse is always up-to-date with your New York Times data.

Use Cases to transfer your New York Times data to Oracle

Integrating data from New York Times to Oracle provides several benefits. Here are a few use cases:

Advanced Analytics: Oracle’s powerful data processing capabilities enable you to perform complex queries and data analysis on your New York Times data, extracting insights that wouldn't be possible within New York Times alone.
Data Consolidation: If you're using multiple other sources along with New York Times, syncing to Oracle 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: New York Times has limits on historical data. Syncing data to Oracle allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: Oracle provides robust data security features. Syncing New York Times data to Oracle ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: Oracle can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding New York Times data.
Data Science and Machine Learning: By having New York Times data in Oracle, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While New York Times provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Oracle, providing more advanced business intelligence options. If you have a New York Times table that needs to be converted to a Oracle table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

Configure a New York Times account as an Airbyte data source connector.
Configure Oracle as a data destination connector.
Create an Airbyte data pipeline that will automatically be moving data directly from New York Times to Oracle 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!

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Sync with Airbyte

Step 1: Set up New York Times as a source connector

Step 2: Set up Oracle as a destination connector

Step 3: Set up a connection to sync your New York Times data to Oracle

Once you've successfully connected New York Times as a data source and Oracle 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 New York Times from the dropdown list of your configured sources.
Select your destination: Choose Oracle 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 New York Times objects you want to import data from towards Oracle. 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 New York Times to Oracle according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Oracle data warehouse is always up-to-date with your New York Times data.

How to Sync New York Times to Oracle Manually

Step 1:

Step 2:

Step 3:

Step 4:

Step 5:

Step 6:

Step 7:

Step 8:

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.

What is New York Times?

What data can you extract from New York Times?

The New York Times API provides access to a wide range of data categories, including:

1. Articles: Full-text articles from the New York Times, including news, opinion, and feature pieces.
2. Multimedia: Images, videos, and other multimedia content from the New York Times.
3. Best Sellers: Lists of best-selling books, both fiction and non-fiction, as compiled by the New York Times.
4. Movie Reviews: Reviews of movies from the New York Times, including ratings and summaries.
5. TimesTags: A comprehensive list of tags used by the New York Times to categorize articles and other content.
6. Times Newswire: A real-time feed of breaking news stories from the New York Times.
7. Top Stories: A list of the most popular articles on the New York Times website, updated in real-time.
8. Archive: Access to the New York Times archive, including articles dating back to 1851.
9. Times Insider: Exclusive content from the New York Times, including behind-the-scenes stories and interviews with journalists.

Overall, the New York Times API provides a wealth of data for developers and researchers interested in exploring the content and history of one of the world's most respected news organizations.

How do I transfer data from New York Times?

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:
1. Set up New York Times to Oracle DB as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from New York Times to Oracle DB and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

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.

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Databases

Others

How to load data from New York Times to Oracle

Learn how to use Airbyte to synchronize your New York Times data into Oracle within minutes.

Try Airbyte Cloud free

Deploy Airbyte Open Source

TL;DR

What is New York Times

What is Oracle

Prerequisites

Step 1: Setup New York Times

Step 2: Setup Oracle

Step 3: Setup a connection Use Cases Wrapping Up

Example H2

Example H3

Sync data between New York Times and Oracle

Get your data syncing in minutes

Try Airbyte free

TL;DR

set up New York Times as a source connector (using Auth, or usually an API key)
set up Oracle 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 New York Times

What is Oracle

Integrate New York Times with Oracle in minutes

Try for free now

Prerequisites

A New York Times account to transfer your customer data automatically from.
A Oracle 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.

Step 1: Set up New York Times as a source connector

Step 2: Set up Oracle as a destination connector

Step 3: Set up a connection to sync your New York Times data to Oracle

Once you've successfully connected New York Times as a data source and Oracle 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 New York Times from the dropdown list of your configured sources.
Select your destination: Choose Oracle 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 New York Times objects you want to import data from towards Oracle. 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 New York Times to Oracle according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Oracle data warehouse is always up-to-date with your New York Times data.

Use Cases to transfer your New York Times data to Oracle

Integrating data from New York Times to Oracle provides several benefits. Here are a few use cases:

Advanced Analytics: Oracle’s powerful data processing capabilities enable you to perform complex queries and data analysis on your New York Times data, extracting insights that wouldn't be possible within New York Times alone.
Data Consolidation: If you're using multiple other sources along with New York Times, syncing to Oracle 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: New York Times has limits on historical data. Syncing data to Oracle allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: Oracle provides robust data security features. Syncing New York Times data to Oracle ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: Oracle can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding New York Times data.
Data Science and Machine Learning: By having New York Times data in Oracle, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While New York Times provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Oracle, providing more advanced business intelligence options. If you have a New York Times table that needs to be converted to a Oracle table, Airbyte can do that automatically.