# 6th August 2025

This update introduces powerful architectural capabilities and helpful documentation designed to support modern, cloud-native data workloads across environments.

#### Feature Previews & Documentation Updates

[**Hybrid Data Lakehouse (Preview)**](/product-documentation/introduction-to-e6data/architecture/hybrid-data-lakehouse.md)

**Summary:**\
Introducing *Hybrid Data Lakehouse*, a powerful architecture enabling federated query execution across multiple clouds, regions, and on-premise environments—without needing to move or replicate data.

**What’s New:**

* Unified query interface across AWS, Azure, GCP, and on-prem systems
* Hybrid cluster setup with Main + Ancillary Clusters
* Federated SQL engine ensures compliance and reduces data movement
* Support for both centralized and federated metastores

{% hint style="info" %}
**Note***:* **This feature is currently in active development and only available to users on request.**
{% endhint %}

[**GCS Access for Serverless Compute (GCP)**](/product-documentation/setup/gcp-setup/configure-gcs-access-for-serverless-compute-gcp.md)

A new guide is now available to help users configure Google Cloud Storage (GCS) access for **e6data’s serverless compute on GCP**.

**Highlights:**

* Required permissions
* IAM roles
* Trust configuration steps

This is essential for enabling external table access in serverless mode.


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Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.e6data.com/product-documentation/release-notes-and-updates/6th-august-2025.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.