Abhinav's enduring impact stems from his ability to envision and execute on a future-forward data engineering paradigm one ...

The SNP xPressfeed Market Intelligence Data Integration project, under Suresh Palli's capable leadership, has not only enhanced immediate risk assessment capabilities but also established a robust ...

Like most areas, AI poses unique opportunities for an ETL-powered data fabric. Allowing the incorporation of unstructured data, detecting anomalies, as well as being able to use natural language to ...

Here's a closer look at how monitoring and alerting can act within an ETL system: • A continuous health assessment keeps a real-time check on the health of the ETL pipeline. This involves ...

Expert data engineer Arjun Mantri, who has worked for major corporations like Expedia, offers insightful advice on making this crucial decision and expert data pipeline design.

Atlassian recently introduced Lithium, an in-house ETL platform designed to meet the requirements of dynamic data movement. Lithium streamlines tasks such as cloud migrations, scheduled backups, and i ...

Machine Learning Integration: The AI-driven pipeline not only improves ETL processes but also enhances the accuracy of machine learning models trained on the processed data, with a 5–6% ...

Staging tables that are dynamically created by ETL tools may not be optimized for transformations to be run on them. This could be the reason behind all those slow pipeline runtimes. Knowledge about ...