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How to load data from Secoda to S3

Learn how to use Airbyte to synchronize your Secoda data into S3 within minutes.

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:

  1. set up Secoda as a source connector (using Auth, or usually an API key)
  2. set up S3 as a destination connector
  3. 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 Secoda

Seconda stands for searchable company data and its mission is to make the experience of exploring, understanding, and using data.Secoda is the first workspace built for data teams. Secoda combines data dictionary, data catalog, data requests, data docs search, and data management compliance in a delightful experience, always connected to your data stack. Secoda has made it way easier to understand what data we have and how to best make use of it. It's a game-changer.

What is S3

Amazon S3 (Simple Storage Service) is a cloud-based object storage service provided by Amazon Web Services (AWS). It is designed to store and retrieve any amount of data from anywhere on the web. S3 is highly scalable, secure, and durable, making it an ideal solution for businesses of all sizes. S3 allows users to store and retrieve data in the form of objects, which can be up to 5 terabytes in size. These objects can be accessed through a web interface or through APIs, making it easy to integrate with other AWS services or third-party applications. S3 also offers a range of features, including versioning, lifecycle policies, and access control, which allow users to manage their data effectively. It also provides high availability and durability, ensuring that data is always accessible and protected against data loss. Overall, S3 is a powerful and flexible tool that enables businesses to store and manage their data in a secure and scalable way, making it an essential component of many cloud-based applications and services.

Integrate Secoda with S3 in minutes

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Prerequisites

  1. A Secoda account to transfer your customer data automatically from.
  2. A S3 account.
  3. 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 Secoda and S3, for seamless data migration.

When using Airbyte to move data from Secoda to S3, it extracts data from Secoda using the source connector, converts it into a format S3 can ingest using the provided schema, and then loads it into S3 via the destination connector. This allows businesses to leverage their Secoda data for advanced analytics and insights within S3, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Secoda as a source connector

1. First, navigate to the Airbyte dashboard and click on "Sources" in the left-hand menu.
2. Click on the "New Source" button in the top right corner of the screen.
3. In the search bar, type "Secoda" and select the Secoda source connector from the list of available connectors.
4. Enter a name for your Secoda source connector and click "Next".
5. In the "Connection Configuration" section, enter your Secoda API key and API secret. These can be found in your Secoda account settings.
6. Click "Test Connection" to ensure that your credentials are correct and that Airbyte can connect to your Secoda account.
7. Once the connection is successful, click "Next" to proceed to the "Schema Selection" section.
8. Select the tables or views that you want to replicate from your Secoda account.
9. Click "Create Source" to save your Secoda source connector and begin replicating data to your destination.

Step 2: Set up S3 as a destination connector

1. Log in to your Airbyte account and navigate to the "Destinations" tab on the left-hand side of the screen.

2. Click on the "Add Destination" button and select "S3" from the list of available connectors.

3. Enter your AWS access key ID and secret access key in the appropriate fields. If you don't have these credentials, you can generate them in the AWS console.

4. Choose the AWS region where you want to store your data.

5. Enter the name of the S3 bucket where you want to store your data. If the bucket doesn't exist yet, you can create it in the AWS console.

6. Choose the format in which you want to store your data (e.g. CSV, JSON, Parquet).

7. Configure any additional settings, such as compression or encryption, if desired.

8. Test the connection to ensure that Airbyte can successfully connect to your S3 bucket.

9. Save your settings and start syncing data from your source connectors to your S3 destination.

Step 3: Set up a connection to sync your Secoda data to S3

Once you've successfully connected Secoda as a data source and S3 as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

  1. Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
  2. Choose your source: Select Secoda from the dropdown list of your configured sources.
  3. Select your destination: Choose S3 from the dropdown list of your configured destinations.
  4. 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.
  5. Select the data to sync: Choose the specific Secoda objects you want to import data from towards S3. You can sync all data or select specific tables and fields.
  6. 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.
  7. Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
  8. Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Secoda to S3 according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your S3 data warehouse is always up-to-date with your Secoda data.

Use Cases to transfer your Secoda data to S3

Integrating data from Secoda to S3 provides several benefits. Here are a few use cases:

  1. Advanced Analytics: S3’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Secoda data, extracting insights that wouldn't be possible within Secoda alone.
  2. Data Consolidation: If you're using multiple other sources along with Secoda, syncing to S3 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.
  3. Historical Data Analysis: Secoda has limits on historical data. Syncing data to S3 allows for long-term data retention and analysis of historical trends over time.
  4. Data Security and Compliance: S3 provides robust data security features. Syncing Secoda data to S3 ensures your data is secured and allows for advanced data governance and compliance management.
  5. Scalability: S3 can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Secoda data.
  6. Data Science and Machine Learning: By having Secoda data in S3, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
  7. Reporting and Visualization: While Secoda provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to S3, providing more advanced business intelligence options. If you have a Secoda table that needs to be converted to a S3 table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a Secoda account as an Airbyte data source connector.
  2. Configure S3 as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from Secoda to S3 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:

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Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
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Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
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Connectors Used

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
high five icon
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
stars sparkling
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter

Connectors Used

Frequently Asked Questions

What data can you extract from Secoda?

Secoda's API provides access to a wide range of data types, including:  
1. Research papers and publications: The API allows users to search and access research papers and publications from various sources.  
2. Data sets: The API provides access to a vast collection of data sets from different domains, including finance, healthcare, and social media.  
3. News articles: The API enables users to search and access news articles from various sources, including newspapers, magazines, and online news portals.  
4. Patents: The API provides access to patent data from various sources, including the United States Patent and Trademark Office (USPTO) and the European Patent Office (EPO).  
5. Company information: The API allows users to search and access information about companies, including financial data, news articles, and company profiles.  
6. Social media data: The API provides access to social media data from various platforms, including Twitter, Facebook, and LinkedIn.  
7. Government data: The API enables users to search and access government data from various sources, including the United States Census Bureau and the World Bank.  

Overall, Secoda's API provides a comprehensive set of data types that can be used for various applications, including research, analysis, and decision-making.

What data can you transfer to S3?

You can transfer a wide variety of data to S3. This usually includes structured, semi-structured, and unstructured data like transaction records, log files, JSON data, CSV files, and more, allowing robust, scalable data integration and analysis.

What are top ETL tools to transfer data from Secoda to S3?

The most prominent ETL tools to transfer data from Secoda to S3 include:

  • Airbyte
  • Fivetran
  • Stitch
  • Matillion
  • Talend Data Integration

These tools help in extracting data from Secoda and various sources (APIs, databases, and more), transforming it efficiently, and loading it into S3 and other databases, data warehouses and data lakes, enhancing data management capabilities.