With a proven record of working in changing data processes, Katta's expertise in SSIS packages and ETL (Extract, Transform, Load) processes has resulted in efficiency gains across diverse industries.

If you're considering using a data integration platform to build your ETL process, you may be confused by the terms data integration and ETL. Here's what you need to know about these two processes.

The AI-driven ETL pipeline dynamically adjusts data extraction, transformation, and loading processes, resulting in significant improvements in data integration performance.

Databricks today announced the general availability (GA) of Delta Live Tables (DLT), a new offering designed to simplify the building and maintenance of data pipelines for extract, transform, and load ...

A financial services (Investment) company is looking for a dynamic MS SSIS ETL Developer who will be responsible for the scripts required to extract, transform, clean, and move data and metadata so ...

In industries relying on up-to-the-minute insights, interruptions disrupt crucial processes, hindering timely responses to market changes and the accuracy of analytical outcomes.

When developing a seamless cloud migration strategy, people often overlook ETL migration or treat it as an afterthought. This is where you unintentionally invite problems with performance and costs.

Reverse ETL tools focus on customer data and are best used when combining data across websites, digital products, and cloud applications.