Google Analytics 4 to Databricks: 2 Easy Steps to Replicate Data

Easily move your data from GA4 To Databricks to enhance your analytics capabilities. With Hevo’s intuitive pipeline setup, data flows in real-time—check out our 1-minute demo below to see the seamless integration in action!

A natively integrated Google Analytics 4 lacks comprehensive tooling support outside of the Google Cloud Platform and needs autoscaling capabilities to deal with drastic data growth. By duplicating data from Google Analytics 4 to Databricks and enabling advanced analytics and machine learning, you will get one source of truth for the traffic and engagement data.
Following the instructions in this blog, you can easily link Google Analytics 4 with Databricks through Hevo.

What is Google Analytics 4?

The newer version of Google’s web analytics platform is GA4 or Google Analytics 4. It is designed to deliver much deeper insight than ever before into user behavior across websites and apps. The platform is much more flexible and powers tracking analysis.

Key Features 

1. Event-Driven Data Model: GA4 focuses on events rather than sessions, allowing it to analyze and track user interactions more precisely and accurately.
2. Cross-Platform Tracking: GA4 tracks websites, apps, and devices perfectly, offering a one-view solution to track the journeys of the user.
3. Improved privacy controls: GA4 has features such as cookieless tracking and improved data granules that work with international privacy rules.

What is Databricks?

Databricks is a cloud-native platform for efficiently addressing big data and machine learning workloads. It’s a unified analytics environment based on Apache Spark that enables collaboration among data engineers, scientists, and analysts to process large-scale datasets and develop strong AI models.

Key Features

1. Scalability: The system automatically scales computing resources. Neither big datasets nor complicated computations delay the system’s performance with a growing quantity of data.
2. Shared Notebooks: Using the interactive notebooks offered by Databricks enables developers to write and execute the code and allows a visualized way of showing data so that insights gained can be shared in real-time with the intention of better collaboration.

Replicate data from Google Analytics 4 to Databricks Using Hevo

With Hevo, the process of replicating data from Google Analytics 4 to Databricks can be seamless.

Step 1: Configure Google Analytics 4 as your Source

Configure Google Analytics 4 as the source.

Note: You can select from the “Historical Sync Duration” according to your requirements, where the default duration is six months. You can enable the “Pivot Report” option if you want to create an aggregated report based on the dimensions and metrics selected.

Step 2: Configure Databricks as your Destination

Now, you need to configure Databricks as the destination.

All Done to Setup Your ETL Pipeline!

Benefits of Replicating Data From Google Analytics 4 to Databricks

• Multiple Cloud Support: Native use of BigQuery with Google Analytics 4 allows for free data transfer to Google BigQuery. But again, that works only in the context of Google Cloud. Google Analytics 4 to Databricks allows you to migrate data on multiple cloud stacks, such as AWS, Azure, and Google Cloud, with seamless integration and eliminates rebuilding processes on different platforms.
• Support for Autoscaling: BigQuery has some limitations on data scaling and controlled slot allocation; this slows down the query-processing speed. Autoscaling would aid Databricks in automatically resizing the clusters according to the workload demands to increase the speed of query execution with the growing workloads.
• Build Machine Learning Models: Databricks provides broad support for a range of ML tools, including Apache Spark, Python, and scikit-learn. This capability gives you a much higher-level, customizable, and more powerful predictive analytics, which really elevates your data analytics capabilities.
• Get more insights into Customer Journeys: Including Google Analytics 4 data sources in other sources within Databricks gives a much more complete view of customer journeys. You would be able to combine ad revenue income with CRM data for more comprehensive KPI analysis.
• Get a Clear View of the Attribution Model: You will be able to measure and then tune how the best model affects your customer touchpoints through your Google Analytics 4 data sitting inside of Databricks. 

Why Use Hevo?

Here’s what makes Hevo stand out from the crowd:

• Fully Managed: You don’t need to dedicate any time to building your pipelines. With Hevo’s dashboard, you can monitor all the processes in your pipeline, thus giving you complete control over it.
• Data Transformation: Hevo provides a simple interface to cleanse, modify and transform your data through drag-and-drop features and Python scripts. It can accommodate multiple use cases with its pre-load and post-load transformation capabilities.
• Faster Insight Generation: Hevo offers near real-time data replication, so you have access to real-time insight generation and faster decision-making. 
• Schema Management: With Hevo’s auto schema mapping feature, all your mappings will be automatically detected and managed to the destination schema.
• Scalable Infrastructure: With the increase in the number of sources and volume of data, Hevo can automatically scale horizontally, handling millions of records per minute with minimal latency.
• Transparent pricing: You can select your pricing plan based on your requirements. Different plans are clearly put together on its website, along with all the features it supports. You can also adjust your credit limits and spend notifications for any data flow increases.
• Live Support: The support team is available round the clock to extend exceptional support to its customers through chat, email, and support calls.

Winding up With Final Words

This article has provided a simple solution for replicating data from Google Analytics 4 to Databricks. Following that, we explored some advantages of integrating the above-mentioned tools.
The clusters’ size in Databricks will automatically resize based on workflow demand. As a result, your query processing time is now optimized with support from ML-powered predictive analytics tools.
Google Analytics 4 to Databricks integration will complement your decision-making capabilities with the much-needed finesse.

Hevo offers a 14-day free trial. Check out this video to know how Hevo works.

Hevo, being fully automated along with 150+ plug-and-play sources, can accommodate a variety of your use cases.

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