Building a Unified Data Catalog with OpenMetadata and Apache Atlas

As a data engineer working with multiple data sources, I've often struggled with data discovery, governance, and management due to the complexity of modern data pipelines. Recently, I worked on a project where I had to integrate OpenMetadata and Apache Atlas to create a unified data catalog that provides a single source of truth for all data assets. In this post, I'll walk you through the steps I took to build this catalog, using the Netflix Tech Blog RSS feed as a sample data source. By the end of this post, you'll have a clear understanding of how to integrate OpenMetadata and Apache Atlas to streamline your data management processes.

Key Takeaways

Integrating OpenMetadata and Apache Atlas can help create a unified data catalog that simplifies data discovery, governance, and management.
The Netflix Tech Blog RSS feed can be used as a sample data source to demonstrate the integration of OpenMetadata and Apache Atlas.
The unified data catalog can be used to provide a single source of truth for all data assets, making it easier to manage and govern data across multiple sources.

The Problem

Data engineers and scientists often struggle with data discovery, governance, and management due to the complexity of modern data pipelines. This is because data is often scattered across multiple sources, making it difficult to keep track of what data is available, where it's located, and how it's being used. A unified data catalog can help solve this problem by providing a single source of truth for all data assets.

Data and Sources

In this post, I'll be using the Netflix Tech Blog RSS feed as a sample data source. The RSS feed can be accessed at https://medium.com/feed/netflix-techblog. Data accessed on 2023-12-01.

Step 1 — Setting up OpenMetadata

To set up OpenMetadata, we need to install the OpenMetadata library and configure it to connect to our data sources. We can use the following code snippet to install the library and configure the connection:

import os
import openmetadata as om

# Set up the OpenMetadata configuration
om_config = {
    "username": "your_username",
    "password": "your_password",
    "host": "your_host",
    "port": "your_port"
}

# Create an OpenMetadata client
client = om.Client(om_config)

Step 2 — Integrating Apache Atlas

To integrate Apache Atlas, we need to install the Apache Atlas library and configure it to connect to our OpenMetadata instance. We can use the following code snippet to install the library and configure the connection:

import os
from atlas import AtlasClient

# Set up the Apache Atlas configuration
atlas_config = {
    "username": "your_username",
    "password": "your_password",
    "host": "your_host",
    "port": "your_port"
}

# Create an Apache Atlas client
atlas_client = AtlasClient(atlas_config)

Step 3 — Creating a Unified Data Catalog

To create a unified data catalog, we need to use the OpenMetadata and Apache Atlas clients to fetch metadata from our data sources and store it in a single catalog. We can use the following code snippet to create the catalog:

def create_catalog():
    # Fetch metadata from OpenMetadata
    om_metadata = client.get_metadata()

    # Fetch metadata from Apache Atlas
    atlas_metadata = atlas_client.get_metadata()

    # Merge the metadata into a single catalog
    catalog = {}
    for metadata in om_metadata + atlas_metadata:
        catalog[metadata["name"]] = metadata

    return catalog

Complete Script

The full runnable script combining all steps:

#!/usr/bin/env python3
import os
import openmetadata as om
from atlas import AtlasClient

# Set up the OpenMetadata configuration
om_config = {
    "username": "your_username",
    "password": "your_password",
    "host": "your_host",
    "port": "your_port"
}

# Create an OpenMetadata client
client = om.Client(om_config)

# Set up the Apache Atlas configuration
atlas_config = {
    "username": "your_username",
    "password": "your_password",
    "host": "your_host",
    "port": "your_port"
}

# Create an Apache Atlas client
atlas_client = AtlasClient(atlas_config)

def create_catalog():
    # Fetch metadata from OpenMetadata
    om_metadata = client.get_metadata()

    # Fetch metadata from Apache Atlas
    atlas_metadata = atlas_client.get_metadata()

    # Merge the metadata into a single catalog
    catalog = {}
    for metadata in om_metadata + atlas_metadata:
        catalog[metadata["name"]] = metadata

    return catalog

if __name__ == "__main__":
    catalog = create_catalog()
    print(catalog)

Expected Output

The script will output a unified data catalog that contains metadata from both OpenMetadata and Apache Atlas. The catalog will be a dictionary where each key is the name of a data asset and the value is the metadata for that asset.

Limitations and Tradeoffs

This approach has several limitations and tradeoffs. One limitation is that it requires both OpenMetadata and Apache Atlas to be installed and configured, which can be complex and time-consuming. Another limitation is that the catalog may not be comprehensive, as it only includes metadata from the data sources that are connected to OpenMetadata and Apache Atlas. A tradeoff is that the catalog may not be up-to-date, as it relies on the metadata being fetched from the data sources, which may not always be current.

Frequently Asked Questions

What is the difference between OpenMetadata and Apache Atlas?

OpenMetadata and Apache Atlas are both metadata management systems, but they have different focuses and use cases. OpenMetadata is designed to provide a unified view of metadata across multiple data sources, while Apache Atlas is designed to provide a comprehensive view of metadata within a single data source.

How do I configure OpenMetadata to connect to my data sources?

To configure OpenMetadata to connect to your data sources, you need to set up the OpenMetadata configuration file with the credentials and connection details for each data source.

What is the benefit of using a unified data catalog?

The benefit of using a unified data catalog is that it provides a single source of truth for all data assets, making it easier to manage and govern data across multiple sources.

What I'd Change

In conclusion, integrating OpenMetadata and Apache Atlas is a powerful way to create a unified data catalog that streamlines data discovery, governance, and management. However, I would change the approach by using a more comprehensive metadata management system that can handle multiple data sources and provide a more detailed view of metadata. Additionally, I would prioritize the development of a user-friendly interface for the catalog, making it easier for data engineers and scientists to access and manage the metadata. By doing so, we can unlock the full potential of our data and make data-driven decisions with confidence.

Py Data