Systems | Development | Analytics | API | Testing

If your BI and analytics tool isn’t powered by Agentic RAG AI, you’re missing out on advanced AI capabilities that enhance efficiency and visibility into data. Whereas agentic AI can work autonomously and without human intervention, RAGI AI combines the best information retrieval methods available with the power of AI. The result is deep knowledge of organizational data that improves over time.

Partition skew ratio is a critical metric for measuring data distribution imbalance across partitions in ETL (Extract, Transform, Load) pipelines. It represents the ratio of the maximum bytes scanned per partition to the average bytes scanned per partition. When this ratio is high, it indicates significant partition skew challenges in data engineering workflows, which can drastically reduce performance.

Schema-drift incidents create significant challenges for data engineers managing ETL pipelines. Tracking these incidents helps organizations maintain data quality and prevent downstream failures when source data structures unexpectedly change.

In today's data-driven world, organizations must efficiently manage and transform their data to gain valuable insights. Data orchestration and ETL (Extract, Transform, Load) are two popular approaches to data management, each with distinct capabilities and purposes. Data orchestration manages the entire workflow of data processes across an enterprise, while ETL focuses specifically on extracting data from sources, transforming it, and loading it into destination systems.

At Qlik Connect 2025, Qlik unveiled their much-anticipated write back functionality, a welcome addition to their analytics platform, promising real-time collaboration and a streamlined data-entry experience. While this announcement marks Qlik’s entry into the world of write back capabilities, it’s clear their newly introduced functionality is designed for basic use cases.

The advancement and widespread availability of new artificial intelligence (AI) capabilities—through platforms like the Databricks Data Intelligence Platform and Mosaic AI—has completely reset expectations for engineering teams across every industry. Business now moves at a new pace, demanding rapid delivery of intelligent, real-time applications—instead of slowly stitched-together systems solving problems defined and scoped months prior.