How to load data from New York Times to Starburst Galaxy

Learn how to use Airbyte to synchronize your New York Times data into Starburst Galaxy 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 Starburst Galaxy for your extracted New York Times data

Select Starburst Galaxy 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 Starburst Galaxy 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 Starburst Galaxy 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 Starburst Galaxy

Starburst Data is a data access and analytics company that offers a cloud-native, SQL-based query engine called Presto. Their mission is to enable organizations to access and analyze data across various sources efficiently and at scale. Starburst Data provides an enterprise-grade platform that leverages the power of Presto to query data residing in different databases, data lakes, and cloud storage systems, eliminating data silos and accelerating insights. With a focus on performance, security, and ease of use, Starburst Data empowers businesses to unlock the value of their data, enabling faster decision-making and advanced analytics capabilities.

Integrate New York Times with Starburst Galaxy in minutes

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Prerequisites

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

When using Airbyte to move data from New York Times to Starburst Galaxy, it extracts data from New York Times using the source connector, converts it into a format Starburst Galaxy can ingest using the provided schema, and then loads it into Starburst Galaxy via the destination connector. This allows businesses to leverage their New York Times data for advanced analytics and insights within Starburst Galaxy, 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 Starburst Galaxy as a destination connector

1. First, navigate to the connectors page on Airbyte and select the Starburst Galaxy destination connector.
2. Next, enter the required credentials for your Starburst Galaxy account, including the host, port, database name, username, and password.
3. Once you have entered your credentials, click on the "Test Connection" button to ensure that the connection is successful.
4. If the connection is successful, you can then configure the settings for your destination connector, including the table name, schema, and any additional options.
5. After configuring your settings, you can then run a sync to transfer data from your source connector to your Starburst Galaxy destination.
6. You can monitor the progress of your sync and view any errors or warnings that may occur during the transfer process.
7. Once the sync is complete, you can then view your data in your Starburst Galaxy database and use it for analysis or other purposes.

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

Once you've successfully connected New York Times as a data source and Starburst Galaxy 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 Starburst Galaxy 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 Starburst Galaxy. 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 Starburst Galaxy according to your settings.

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

Use Cases to transfer your New York Times data to Starburst Galaxy

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

Advanced Analytics: Starburst Galaxy’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 Starburst Galaxy 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 Starburst Galaxy allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: Starburst Galaxy provides robust data security features. Syncing New York Times data to Starburst Galaxy ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: Starburst Galaxy 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 Starburst Galaxy, 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 Starburst Galaxy, providing more advanced business intelligence options. If you have a New York Times table that needs to be converted to a Starburst Galaxy 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 Starburst Galaxy as a data destination connector.
Create an Airbyte data pipeline that will automatically be moving data directly from New York Times to Starburst Galaxy 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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How to Sync New York Times to Starburst Galaxy Manually

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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.

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 Starburst Galaxy 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 Starburst Galaxy 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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How to load data from New York Times to Starburst Galaxy

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

Try Airbyte Cloud free

Deploy Airbyte Open Source

TL;DR

What is New York Times

What is Starburst Galaxy

Prerequisites

Step 1: Setup New York Times

Step 2: Setup Starburst Galaxy

Step 3: Setup a connection Use Cases Wrapping Up

Example H2

Example H3

Sync data between New York Times and Starburst Galaxy

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 Starburst Galaxy 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 Starburst Galaxy

Integrate New York Times with Starburst Galaxy in minutes

Try for free now

Prerequisites

A New York Times account to transfer your customer data automatically from.
A Starburst Galaxy 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 Starburst Galaxy as a destination connector

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

Once you've successfully connected New York Times as a data source and Starburst Galaxy 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 Starburst Galaxy 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 Starburst Galaxy. 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 Starburst Galaxy according to your settings.

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

Use Cases to transfer your New York Times data to Starburst Galaxy

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

Advanced Analytics: Starburst Galaxy’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 Starburst Galaxy 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 Starburst Galaxy allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: Starburst Galaxy provides robust data security features. Syncing New York Times data to Starburst Galaxy ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: Starburst Galaxy 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 Starburst Galaxy, 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 Starburst Galaxy, providing more advanced business intelligence options. If you have a New York Times table that needs to be converted to a Starburst Galaxy table, Airbyte can do that automatically.