How to load data from Postgres to S3 Glue

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

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Set up a Postgres connector in Airbyte

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

Set up S3 Glue for your extracted Postgres data

Select S3 Glue where you want to import data from your Postgres source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Postgres to S3 Glue 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 Postgres as a source connector (using Auth, or usually an API key)
set up S3 Glue 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 Postgres

An object-relational database management system, PostgreSQL is able to handle a wide range of workloads, supports multiple standards, and is cross-platform, running on numerous operating systems including Microsoft Windows, Solaris, Linux, and FreeBSD. It is highly extensible, and supports more than 12 procedural languages, Spatial data support, Gin and GIST Indexes, and more. Many webs, mobile, and analytics applications use PostgreSQL as the primary data warehouse or data store.

What is S3 Glue

S3 Glue is a server less, salable data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning, and application development. It provides all the capabilities required for data integration, so you can get insights and put your data to use in minutes instead of months. With S3 Glue, there is no infrastructure to set up or manage. You can pay only for the resources consumed while your jobs are continuing.

Integrate Postgres with S3 Glue in minutes

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Prerequisites

A Postgres account to transfer your customer data automatically from.
A S3 Glue 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 Postgres and S3 Glue, for seamless data migration.

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

Step 1: Set up Postgres as a source connector

1. Open your PostgreSQL database and create a new user with the necessary permissions to access the data you want to replicate.

2. Obtain the hostname or IP address of your PostgreSQL server and the port number it is listening on.

3. Create a new database in PostgreSQL that will be used to store the replicated data.

4. Obtain the name of the database you just created.

5. In Airbyte, navigate to the PostgreSQL source connector and click on "Create Connection".

6. Enter a name for your connection and fill in the required fields, including the hostname or IP address, port number, database name, username, and password.

7. Test the connection to ensure that Airbyte can successfully connect to your PostgreSQL database.

8. Select the tables or views you want to replicate and configure any necessary settings, such as the replication frequency and the replication method.

9. Save your configuration and start the replication process.

10. Monitor the replication process to ensure that it is running smoothly and troubleshoot any issues that arise.

Step 2: Set up S3 Glue as a destination connector

1. Log in to your Airbyte account and navigate to the "Destinations" tab.
2. Click on "Add Destination" and select "S3 Glue" from the list of available connectors.
3. Enter your AWS access key ID and secret access key in the appropriate fields.
4. Select 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.
6. Choose the format in which you want to store your data (e.g. CSV, JSON, Parquet).
7. Enter the prefix for your data files (e.g. "mydata/").
8. Choose whether you want to compress your data files (e.g. Gzip).
9. Click on "Test Connection" to ensure that Airbyte can connect to your S3 Glue destination.
10. If the connection is successful, click on "Save" to save your S3 Glue destination configuration.

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

Once you've successfully connected Postgres as a data source and S3 Glue 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 Postgres from the dropdown list of your configured sources.
Select your destination: Choose S3 Glue 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 Postgres objects you want to import data from towards S3 Glue. 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 Postgres to S3 Glue according to your settings.

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

Use Cases to transfer your Postgres data to S3 Glue

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

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

Wrapping Up

To summarize, this tutorial has shown you how to:

Configure a Postgres account as an Airbyte data source connector.
Configure S3 Glue as a data destination connector.
Create an Airbyte data pipeline that will automatically be moving data directly from Postgres to S3 Glue 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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Sync with Airbyte

Step 1: Set up Postgres as a source connector

1. Open your PostgreSQL database and create a new user with the necessary permissions to access the data you want to replicate.

2. Obtain the hostname or IP address of your PostgreSQL server and the port number it is listening on.

3. Create a new database in PostgreSQL that will be used to store the replicated data.

4. Obtain the name of the database you just created.

5. In Airbyte, navigate to the PostgreSQL source connector and click on "Create Connection".

6. Enter a name for your connection and fill in the required fields, including the hostname or IP address, port number, database name, username, and password.

7. Test the connection to ensure that Airbyte can successfully connect to your PostgreSQL database.

8. Select the tables or views you want to replicate and configure any necessary settings, such as the replication frequency and the replication method.

9. Save your configuration and start the replication process.

10. Monitor the replication process to ensure that it is running smoothly and troubleshoot any issues that arise.

Step 2: Set up S3 Glue as a destination connector

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

Once you've successfully connected Postgres as a data source and S3 Glue 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 Postgres from the dropdown list of your configured sources.
Select your destination: Choose S3 Glue 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 Postgres objects you want to import data from towards S3 Glue. 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 Postgres to S3 Glue according to your settings.

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

How to Sync Postgres to S3 Glue Manually

Step 1:

Step 2:

Step 3:

Step 4:

Step 5:

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Step 7:

Step 8:

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 Postgres?

What data can you extract from Postgres?

PostgreSQL gives access to a wide range of data types, including:

1. Numeric data types: This includes integers, floating-point numbers, and decimal numbers.

2. Character data types: This includes strings, text, and character arrays.

3. Date and time data types: This includes dates, times, and timestamps.

4. Boolean data types: This includes true/false values.

5. Network address data types: This includes IP addresses and MAC addresses.

6. Geometric data types: This includes points, lines, and polygons.

7. Array data types: This includes arrays of any of the above data types.

8. JSON and JSONB data types: This includes JSON objects and arrays.

9. XML data types: This includes XML documents.

10. Composite data types: This includes user-defined data types that can contain multiple fields of different data types.

Overall, PostgreSQL's API provides access to a wide range of data types, making it a versatile and powerful tool for data management and analysis.

How do I transfer data from Postgres?

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 PostgreSQL to S3 Glue 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 PostgreSQL to S3 Glue 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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Warehouses and Lakes

Databases

How to load data from Postgres to S3 Glue

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

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Deploy Airbyte Open Source

Step 1: Setup Postgres

Step 2: Setup S3 Glue

Step 3: Setup a connection Use Cases Wrapping Up

Example H2

Example H3

Sync data between Postgres and S3 Glue

Get your data syncing in minutes

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TL;DR

set up Postgres as a source connector (using Auth, or usually an API key)
set up S3 Glue 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 Postgres

What is S3 Glue

Integrate Postgres with S3 Glue in minutes

Try for free now

Prerequisites

A Postgres account to transfer your customer data automatically from.
A S3 Glue 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 Postgres as a source connector

1. Open your PostgreSQL database and create a new user with the necessary permissions to access the data you want to replicate.

2. Obtain the hostname or IP address of your PostgreSQL server and the port number it is listening on.

3. Create a new database in PostgreSQL that will be used to store the replicated data.

4. Obtain the name of the database you just created.

5. In Airbyte, navigate to the PostgreSQL source connector and click on "Create Connection".

6. Enter a name for your connection and fill in the required fields, including the hostname or IP address, port number, database name, username, and password.

7. Test the connection to ensure that Airbyte can successfully connect to your PostgreSQL database.

8. Select the tables or views you want to replicate and configure any necessary settings, such as the replication frequency and the replication method.

9. Save your configuration and start the replication process.

10. Monitor the replication process to ensure that it is running smoothly and troubleshoot any issues that arise.

Step 2: Set up S3 Glue as a destination connector

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

Once you've successfully connected Postgres as a data source and S3 Glue 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 Postgres from the dropdown list of your configured sources.
Select your destination: Choose S3 Glue 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 Postgres objects you want to import data from towards S3 Glue. 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 Postgres to S3 Glue according to your settings.

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

Use Cases to transfer your Postgres data to S3 Glue

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

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