2024-11-22 - History layer - joins for late arriving records¶

Release¶

AgileData.io Release: Improved Data Consistency for Complex Joins

This release focuses on enhancing data consistency when joining tables with potentially out-of-order timestamps. This is particularly relevant for customers using relational databases where updates can occur in any sequence.

The Problem:

Imagine a scenario where a customer subscription is created before the customer record itself exists. This can happen when data updates arrive in an unpredictable order. When joining these tables, traditional methods might fail to accurately link related records due to inconsistent timestamps.

The Solution:

We’ve implemented a new approach to joining tables that ensures consistent data relationships, even when timestamps don’t perfectly align. This involves:

Primary Key Matching: We first join tables based on their primary keys, ensuring a strong initial connection.
Timestamp Sequencing: We then apply a sophisticated algorithm to sequence timestamps, guaranteeing that related records are correctly linked, regardless of their arrival order.

The Impact:

This update provides you with:

More Accurate Data Insights: You can now confidently join tables, even when data arrives out of order, ensuring accurate analysis and reporting.
Improved Data Quality: This solution eliminates inconsistencies caused by timestamp discrepancies, leading to cleaner and more reliable data.
Enhanced Data Integration: You can seamlessly integrate data from various sources, regardless of their update order, for a more comprehensive view of your business.

This release is a testament to our commitment to providing you with the most robust and reliable data analysis platform. We are continuously working to improve our platform and deliver solutions that address your specific needs.

Last Refreshed¶

Doc Refreshed: 2025-01-15