How to load data from PyPI to Starburst Galaxy

Learn how to use Airbyte to synchronize your PyPI data into Starburst Galaxy within minutes.

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Set up a PyPI connector in Airbyte

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

Set up Starburst Galaxy for your extracted PyPI data

Select Starburst Galaxy where you want to import data from your PyPI source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the PyPI 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 PyPI 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 PyPI

The Python Package Index (PyPI) is a storehouse of software for the Python programming language. The Python Package Index abbreviated as PyPI and also non as the Cheese Shop is the official third-party software repository for Python. PyPI assists the users to search and install software that has been developed and shared by the Python community. PyPI, typically pronounced pie-pee-eye, is a repository containing several hundred thousand packages. The ability to provision PyPI packages from Artifact to the pip command line tool from all repository types.

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 PyPI with Starburst Galaxy in minutes

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Prerequisites

A PyPI 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 PyPI and Starburst Galaxy, for seamless data migration.

When using Airbyte to move data from PyPI to Starburst Galaxy, it extracts data from PyPI 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 PyPI data for advanced analytics and insights within Starburst Galaxy, simplifying the ETL process and saving significant time and resources.

Step 1: Set up PyPI as a source connector

1. First, you need to create an API token in PyPI. To do this, go to your PyPI account settings and click on "API Tokens" in the left-hand menu. Then, click on "Add API Token" and give it a name. Copy the token that is generated.
2. In Airbyte, go to the "Sources" tab and click on "Create a new Source". Select "PyPI" from the list of available connectors.
3. In the PyPI source configuration page, enter a name for your source and paste the API token you copied in step 1 into the "API Token" field.
4. In the "Package Name" field, enter the name of the package you want to sync data from.
5. In the "Start Date" field, enter the date from which you want to start syncing data. This is optional, and if you leave it blank, Airbyte will start syncing data from the beginning.
6. Click on "Test Connection" to make sure that your credentials are correct and that Airbyte can connect to your PyPI account.
7. If the test is successful, click on "Create Source" to save your PyPI source configuration.
8. You can now create a new destination to sync your PyPI data to, or you can add this source to an existing pipeline.

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 PyPI data to Starburst Galaxy

Once you've successfully connected PyPI 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 PyPI 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 PyPI 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 PyPI 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 PyPI data.

Use Cases to transfer your PyPI data to Starburst Galaxy

Integrating data from PyPI 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 PyPI data, extracting insights that wouldn't be possible within PyPI alone.
Data Consolidation: If you're using multiple other sources along with PyPI, 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: PyPI 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 PyPI 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 PyPI data.
Data Science and Machine Learning: By having PyPI data in Starburst Galaxy, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While PyPI 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 PyPI 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 PyPI 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 PyPI 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 PyPI 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 PyPI?

What data can you extract from PyPI?

PyPI's API provides access to a wide range of data related to Python packages and their metadata. The following are the categories of data that can be accessed through PyPI's API:

1. Package information: This includes data related to the package name, version, description, author, license, and other metadata.
2. Release information: This includes data related to the release date, download URL, and other information about each release of a package.
3. Project information: This includes data related to the project's homepage, bug tracker, and other project-related information.
4. User information: This includes data related to the user's account, such as their username, email address, and other profile information.
5. Search results: This includes data related to the search results for a particular query, including package names, descriptions, and other metadata.
6. Download statistics: This includes data related to the number of downloads for a particular package or release.

Overall, PyPI's API provides a comprehensive set of data related to Python packages and their metadata, making it a valuable resource for developers and researchers.

How do I transfer data from PyPI?

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 PyPI 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 PyPI 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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Databases

Engineering Analytics

How to load data from PyPI to Starburst Galaxy

Learn how to use Airbyte to synchronize your PyPI data into Starburst Galaxy within minutes.

Try Airbyte Cloud free

Deploy Airbyte Open Source

TL;DR

What is PyPI

What is Starburst Galaxy

Prerequisites

Step 1: Setup PyPI

Step 2: Setup Starburst Galaxy

Step 3: Setup a connection Use Cases Wrapping Up

Example H2

Example H3

Sync data between PyPI and Starburst Galaxy

Get your data syncing in minutes

Try Airbyte free

TL;DR

set up PyPI 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 PyPI

What is Starburst Galaxy

Integrate PyPI with Starburst Galaxy in minutes

Try for free now

Prerequisites

A PyPI 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 PyPI as a source connector

Step 2: Set up Starburst Galaxy as a destination connector

Step 3: Set up a connection to sync your PyPI data to Starburst Galaxy

Once you've successfully connected PyPI 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 PyPI 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 PyPI 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 PyPI 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 PyPI data.

Use Cases to transfer your PyPI data to Starburst Galaxy

Integrating data from PyPI 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 PyPI data, extracting insights that wouldn't be possible within PyPI alone.
Data Consolidation: If you're using multiple other sources along with PyPI, 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: PyPI 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 PyPI 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 PyPI data.
Data Science and Machine Learning: By having PyPI data in Starburst Galaxy, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While PyPI 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 PyPI table that needs to be converted to a Starburst Galaxy table, Airbyte can do that automatically.