Amazon Connect Data Tables: More Data, Less Engineering

Business users can now adjust contact center configurations in real time without engineering tickets.

What changed

• Data tables within Amazon Connect now support up to 20,000 values per table.
• New capabilities include exporting tables, editing bulk records, and moving tables between instances.
• Reference data can be loaded from external sources like Excel and DynamoDB.

Why it matters

This update directly addresses a common pain point for contact center operations: the dependency on engineering teams for even minor configuration changes. By allowing business users to manage up to 20,000 values in data tables, Amazon Connect enables real-time adjustments to critical elements like operating hours, escalation rules, and queue assignments. This reduces operational friction and improves the agility of contact center configurations, which is crucial for adapting to rapidly changing business conditions without incurring additional engineering overhead.

The catch

While 20,000 values per table is a significant increase, it is still a limit. For extremely large or dynamic datasets, this may not fully replace the need for more robust data management solutions. Furthermore, the announcement does not specify performance implications for tables approaching this limit, nor does it detail the exact schema limitations for importing data from sources like DynamoDB.

Ship it

If your team currently relies on engineering to update contact center configurations like agent prompts or operating hours, evaluate using Amazon Connect data tables. Pairs with: DynamoDB for external data loading and management. Consider this for workloads requiring frequent, non-technical configuration adjustments in any of the 23 AWS commercial or AWS GovCloud (US-West) regions where Amazon Connect is offered.

Bottom line: Business users can now manage more contact center configuration data directly, reducing engineering bottlenecks.