Developer Programs
Vendor Integration Program (VIP)
Direct access to Jack Henry's technical integration resources.
Technical Account Manager (TAM)
Get technical integration help from a single point of contact.
Developer Account
Create a developer acccount to access resources that help you integrate with Jack Henry.
Learn
Shared Responsibility
Learn about shared roles and responsibilities of customers and Jack Henry in open banking.
Developer Use Cases
Find a use case that fits your development needs.
Developer Video Gallery
Watch the latest demos, webinars, and more.
Developer Conference
Connect with industry leaders, gain insights from expert speakers, and explore our latest innovations.
Docs
Admin API
Create solutions for an institution's back office support tools.
Authentication Framework
Map customer identities to your existing system IDs.
Consumer API
Access financial data for user accounts, transactions, and more.
Data Broker
Get deeper access to financial institution data.
Enterprise Event System
Respond to events in real-time using this powerful pub/sub-based solution.
jXchange - REST API
Translate business information between Jack Henry and third-party applications using a REST-based API.
jXchange - SOAP API
Translate business information between Jack Henry and third-party applications using a SOAP-based API.
Operational Data Integration (ODI)
Get customized queries for bulk data needs.
Payments
Embed check deposits, ACH, bill pay, cards, and real-time payments.
Plugin Framework
Embed the best of the fintech world directly into your user's dashboard.
SymXchange
Query Symitar core member accounts, post transactions, run PowerOn scripts, and more.
Xperience
Modern UI that provides consistent visual integration across Jack Henry products.

DIGITAL - Conversations (Banno)

Pipelined Data Sets > DIGITAL - Conversations (Banno)

Introduction

The goal of this pipeline is to make the Conversations dataset available in Google Big Query where it can be queried using the SQL interface for business purposes and to drive downstream business processes.

Pipelines

The Banno Conversations pipeline utilizes Dataflow jobs to push Conversations data directly from Kafka into the BigQuery dataset / tables. The pipeline source consists of:

  • The original data source is Kafka; specifically, records in our conversations.events.v4c topic.
  • The Dataflow job is implemented using the Apache Beam Java API, which we use from Scala. The job fetches new records from the Kafka topic, transforms them into BigQuery rows, then writes those rows to BigQuery using the Google’s Java API.

Topics in this section

Have a Question?
Have a how-to question? Seeing a weird error? Get help on StackOverflow.
Register for the Digital Toolkit Meetup where we answer technical Q&A from the audience.
Last updated Tue Feb 4 2025