---
title: "Xponent Journey Hub June 2023 (23.1) Release Notes"
slug: "xponent-journey-hub-june-2023-231-release-notes"
updated: 2024-01-04T19:35:54Z
published: 2024-01-04T19:35:54Z
canonical: "help.csgi.com/xponent-journey-hub-june-2023-231-release-notes"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://help.csgi.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Xponent Journey Hub June 2023 (23.1) Release Notes

## Overview:

Introducing an enhanced Batch Processing capability to Xponent with a new [Connector](/v1/docs/batch-connection) and [Listener](/v1/docs/batch-listener). This new feature streamlines data integration, enabling faster time to market with batch data. Users can quickly ingest data into their workflows, making it immediately actionable within their customer journeys.

[**Batch Listener**](/v1/docs/batch-listener) enables the seamless integration of data from batch sources into graphs, which provides enhanced data accessibility. When combined with the Batch Listener and Connector, the following capabilities can be leveraged:

- Connect to AWS S3 and efficiently trigger graphs with a defined frequency.
- Process files in various [File Formats](/v1/docs/data-format), including **Parquet**, **Delimited** (CSV, TSV, etc.), and **JSON**, ensuring compatibility with diverse data sources.
- Effectively handle encrypted and/or compressed files, ensuring data security and integrity throughout the processing pipeline.
- Configure the interval at which the source location is monitored for new data, allowing for precise and timely updates. The minimum interval for monitoring is set at 10 minutes, enabling efficient data synchronization.

With **Batch Listener** and **Connector**, you can harness the power of batch data sources and integrate them into your graphs, empowering you to unlock valuable insights and drive data-informed decision-making.

## Bug Fixes

KIT-10507 – Fixed the Project Version creation issue, which fails if Project does not contain Kafka connector(s).