How to load data from Coin API to Apache Iceberg

Learn how to use Airbyte to synchronize your Coin API data into Apache Iceberg within minutes.

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Set up a Coin API connector in Airbyte

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

Set up Apache Iceberg for your extracted Coin API data

Select Apache Iceberg where you want to import data from your Coin API source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Coin API to Apache Iceberg 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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How to Sync Coin API to Apache Iceberg Manually

How to Sync Coin API to Apache Iceberg Manually - Method 2

FAQs

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.

CoinAPI is a platform which provides fast, reliable and unified data APIs to cryptocurrency markets. CoinAPI is a well known marketplace where you can find the most advanced free crypto API. CoinAPI empowers users to gain the most from cryptocurrency. CoinAPI is a service provider that is solely highlighted on supplying price and market data. CoinAPI is a cryptocurrency exchange API with more than 250 exchanges available and CoinAPI has data on more than 9,000 assets.

Coin API's API provides access to a wide range of cryptocurrency data, including:  

1. Market data: This includes real-time and historical pricing data for various cryptocurrencies, as well as trading volume and market capitalization.  
2. Blockchain data: This includes information about transactions, blocks, and addresses on various blockchain networks.  
3. Exchange data: This includes data on trading pairs, order books, and trading history on various cryptocurrency exchanges.  
4. News data: This includes news articles and social media posts related to cryptocurrencies and blockchain technology.  
5. Wallet data: This includes information about cryptocurrency wallets, including balances, transaction history, and addresses.  
6. Analytics data: This includes various metrics and indicators used to analyze cryptocurrency markets, such as volatility, correlation, and sentiment.  
7. Historical data: This includes historical pricing, trading, and blockchain data for various cryptocurrencies.


Overall, Coin API's API provides a comprehensive set of data for anyone looking to build applications or conduct research related to cryptocurrencies and blockchain technology.

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 Coin API to Apache Iceberg 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 Coin API to Apache Iceberg and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud. 

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.

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.

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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Connectors Used

Coin API
Apache Iceberg

Related Syncs with Coin API

Coin API to Apache Iceberg
Coin API to ClickHouse
Coin API to DuckDB
Coin API to DynamoDB
Coin API to Elasticsearch
Coin API to Kafka
Coin API to MSSQL - SQL Server
Coin API to MongoDB
Coin API to MySQL
Coin API to PostgreSQL
Coin API to Starburst Galaxy
Coin API to TiDB

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How to load data from Coin API to Apache Iceberg

Learn how to use Airbyte to synchronize your Coin API data into Apache Iceberg within minutes.

TL;DR
What is Coin API
What is Apache Iceberg
Prerequisites
Step 1: Setup Coin API
Step 2: Setup Apache Iceberg
Step 3: Setup a connectionUse CasesWrapping Up
Example H2
Example H3

Sync data between Coin API and Apache Iceberg

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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:

  1. set up Coin API as a source connector (using Auth, or usually an API key)
  2. set up Apache Iceberg 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 Coin API

CoinAPI is a platform which provides fast, reliable and unified data APIs to cryptocurrency markets. CoinAPI is a well known marketplace where you can find the most advanced free crypto API. CoinAPI empowers users to gain the most from cryptocurrency. CoinAPI is a service provider that is solely highlighted on supplying price and market data. CoinAPI is a cryptocurrency exchange API with more than 250 exchanges available and CoinAPI has data on more than 9,000 assets.

What is Apache Iceberg

For huge analytical tables, Apache Iceberg is a high-performance format. Using Apache Iceberg, engines such as Spark, Trino, Flink, Presto, Hive and Impala can safely work with the same tables, at the same time, providing the reliability and simplicity of SQL tables to big data. With Apache Iceberg, you can merge new data, update existing rows, and delete specific rows. Data files can be eagerly rewritten or deleted deltas can be used to make updates faster.

Integrate Coin API with Apache Iceberg in minutes

Try for free now

Prerequisites

  1. A Coin API account to transfer your customer data automatically from.
  2. A Apache Iceberg 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 Coin API and Apache Iceberg, for seamless data migration.

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

Step 1: Set up Coin API as a source connector

1. First, navigate to the Coin API website and create an account if you haven't already done so.
2. Once you have an account, log in and navigate to the API section of the website.
3. Generate an API key by clicking on the ""Generate API Key"" button.
4. Copy the API key to your clipboard.
5. Open Airbyte and navigate to the ""Sources"" tab.
6. Click on the ""Add Source"" button and select ""Coin API"" from the list of available connectors.
7. Enter a name for your source and paste the API key you copied earlier into the ""API Key"" field.
8. Select the data you want to sync from Coin API by choosing the appropriate options from the dropdown menus.
9. Click on the ""Test"" button to ensure that your credentials are correct and that Airbyte can connect to Coin API.
10. If the test is successful, click on the ""Create"" button to save your source and start syncing data from Coin API."

Step 2: Set up Apache Iceberg as a destination connector

1. Open the Airbyte platform and navigate to the "Destinations" tab on the left-hand side of the screen.
2. Click on the "Apache Iceberg" destination connector and select "Create new connection."
3. Enter a name for your connection and provide the necessary credentials for your Apache Iceberg database, including the host, port, database name, username, and password.
4. Test the connection to ensure that it is successful. 5. Select the tables or data sources that you want to replicate to your Apache Iceberg database.
6. Configure any additional settings or options for your connection, such as the frequency of data replication or any transformations that you want to apply to your data.
7. Save your connection and start the replication process.
8. Monitor the progress of your data replication and troubleshoot any issues that may arise.
9. Once the replication process is complete, verify that your data has been successfully replicated to your Apache Iceberg database.
10. Use your Apache Iceberg database to analyze and query your data as needed.

Step 3: Set up a connection to sync your Coin API data to Apache Iceberg

Once you've successfully connected Coin API as a data source and Apache Iceberg 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 Coin API from the dropdown list of your configured sources.
  3. Select your destination: Choose Apache Iceberg 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 Coin API objects you want to import data from towards Apache Iceberg. 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 Coin API to Apache Iceberg according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Apache Iceberg data warehouse is always up-to-date with your Coin API data.

Use Cases to transfer your Coin API data to Apache Iceberg

Integrating data from Coin API to Apache Iceberg provides several benefits. Here are a few use cases:

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

Wrapping Up

To summarize, this tutorial has shown you how to:

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

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

Coin API
Apache Iceberg

Related Syncs with Coin API

Tags

APIs

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

Coin API
Apache Iceberg

Related Syncs with Coin API

Coin API to Apache Iceberg
Coin API to ClickHouse
Coin API to DuckDB
Coin API to DynamoDB
Coin API to Elasticsearch
Coin API to Kafka
Coin API to MSSQL - SQL Server
Coin API to MongoDB
Coin API to MySQL
Coin API to PostgreSQL
Coin API to Starburst Galaxy
Coin API to TiDB

Tags

APIs

Ready to get started?

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Frequently Asked Questions

What data can you extract from Coin API?

Coin API's API provides access to a wide range of cryptocurrency data, including:  

1. Market data: This includes real-time and historical pricing data for various cryptocurrencies, as well as trading volume and market capitalization.  
2. Blockchain data: This includes information about transactions, blocks, and addresses on various blockchain networks.  
3. Exchange data: This includes data on trading pairs, order books, and trading history on various cryptocurrency exchanges.  
4. News data: This includes news articles and social media posts related to cryptocurrencies and blockchain technology.  
5. Wallet data: This includes information about cryptocurrency wallets, including balances, transaction history, and addresses.  
6. Analytics data: This includes various metrics and indicators used to analyze cryptocurrency markets, such as volatility, correlation, and sentiment.  
7. Historical data: This includes historical pricing, trading, and blockchain data for various cryptocurrencies.


Overall, Coin API's API provides a comprehensive set of data for anyone looking to build applications or conduct research related to cryptocurrencies and blockchain technology.

What data can you transfer to Apache Iceberg?

You can transfer a wide variety of data to Apache Iceberg. 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 Coin API to Apache Iceberg?

The most prominent ETL tools to transfer data from Coin API to Apache Iceberg include:

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

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