How to load data from Exchange Rates Api to MongoDB

Learn how to use Airbyte to synchronize your Exchange Rates Api data into MongoDB within minutes.

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Set up a Exchange Rates Api connector in Airbyte

Connect to Exchange Rates Api or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up MongoDB for your extracted Exchange Rates Api data

Connect to Exchange Rates Api or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Configure the Exchange Rates Api to MongoDB 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

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 Exchange Rates Api as a source connector (using Auth, or usually an API key)
set up MongoDB 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 Exchange Rates Api

Used by tens of thousands of developers, Exchange Rates API provides accurate and reliable currency data instantly through its free, simple-to-use API interface. With more than 10 years of exceptional API uptime and support, developers trust Exchange Rates API to provide fast and accurate conversion rates for 160 different currencies as well as essential stock market data in JSON format. They have worked hard to achieve their mission of building a remarkably hardware efficient and reliable currency converter API.

What is MongoDB

MongoDB is a database that powers crucial applications and systems for global businesses. Designed for developers and specializing in the areas of open source, software development, and databases, it offers functionality such as horizontal scaling, automatic failover, and the capability to assign data to a location.

Integrate Exchange Rates Api with MongoDB in minutes

Try for free now

Prerequisites

A Exchange Rates Api account to transfer your customer data automatically from.
A MongoDB 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 Exchange Rates Api and MongoDB, for seamless data migration.

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

Step 1: Set up Exchange Rates Api as a source connector

1. Go to the Airbyte dashboard and click on "Sources" on the left-hand side of the screen.
2. Click on the "Create a new source" button and select "Exchange Rates API" from the list of available connectors.
3. Enter a name for your source and click on "Next".
4. Enter your Exchange Rates API access key in the "API Key" field.
5. Select the base currency you want to use for your exchange rates in the "Base Currency" field.
6. Choose the frequency at which you want to update your exchange rates in the "Sync Frequency" field.
7. Click on "Test" to ensure that your credentials are correct and that the connection is successful.
8. If the test is successful, click on "Create" to save your source and start syncing your exchange rates data.

Note: You can also customize your source settings by selecting the tables you want to sync, setting up incremental sync, and adding filters to your data.

Step 2: Set up MongoDB as a destination connector

Step 3: Set up a connection to sync your Exchange Rates Api data to MongoDB

Once you've successfully connected Exchange Rates Api as a data source and MongoDB 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 Exchange Rates Api from the dropdown list of your configured sources.
Select your destination: Choose MongoDB 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 Exchange Rates Api objects you want to import data from towards MongoDB. 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 Exchange Rates Api to MongoDB according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your MongoDB data warehouse is always up-to-date with your Exchange Rates Api data.

Use Cases to transfer your Exchange Rates Api data to MongoDB

Integrating data from Exchange Rates Api to MongoDB provides several benefits. Here are a few use cases:

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

Wrapping Up

To summarize, this tutorial has shown you how to:

Configure a Exchange Rates Api account as an Airbyte data source connector.
Configure MongoDB as a data destination connector.
Create an Airbyte data pipeline that will automatically be moving data directly from Exchange Rates Api to MongoDB 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 Exchange Rates Api to MongoDB Manually

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Databases

Finance & Ops Analytics

How to load data from Exchange Rates Api to MongoDB

Learn how to use Airbyte to synchronize your Exchange Rates Api data into MongoDB within minutes.

Try Airbyte Cloud free

Deploy Airbyte Open Source

TL;DR

What is Exchange Rates Api

What is MongoDB

Prerequisites

Step 1: Setup Exchange Rates Api

Step 2: Setup MongoDB

Step 3: Setup a connection Use Cases Wrapping Up

Example H2

Example H3

Sync data between Exchange Rates Api and MongoDB

Get your data syncing in minutes

Try Airbyte free

TL;DR

set up Exchange Rates Api as a source connector (using Auth, or usually an API key)
set up MongoDB 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 Exchange Rates Api

What is MongoDB

Integrate Exchange Rates Api with MongoDB in minutes

Try for free now

Prerequisites

A Exchange Rates Api account to transfer your customer data automatically from.
A MongoDB 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 Exchange Rates Api as a source connector

Note: You can also customize your source settings by selecting the tables you want to sync, setting up incremental sync, and adding filters to your data.

Step 2: Set up MongoDB as a destination connector

Step 3: Set up a connection to sync your Exchange Rates Api data to MongoDB

Once you've successfully connected Exchange Rates Api as a data source and MongoDB 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 Exchange Rates Api from the dropdown list of your configured sources.
Select your destination: Choose MongoDB 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 Exchange Rates Api objects you want to import data from towards MongoDB. 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 Exchange Rates Api to MongoDB according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your MongoDB data warehouse is always up-to-date with your Exchange Rates Api data.

Use Cases to transfer your Exchange Rates Api data to MongoDB

Integrating data from Exchange Rates Api to MongoDB provides several benefits. Here are a few use cases:

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