The efficiency of ETL integration can make or break the rest of your data management workflow. Want to get the most from your ETL processes? Keep reading for high-performance ETL best practices. 8...

Key Takeaways: Data integration is vital for real-time data delivery across diverse cloud models and applications, and for leveraging technologies like generative AI. Successful data integration...

The concept of streaming data was born of necessity. Today’s hypercompetitive global business environment calls for agility and intelligence. More than ever, advanced analytics, ML, and AI are...

When it comes to data processing, there are more ways to do it than ever. Your choices include real-time, near real-time, and batch processing. How you do it and the tools you choose depend largely...

Can your current data architecture handle the massive influx of data that is coming into the enterprise every day? If not, it’s time to think about modernizing your data architecture to ensure you...

Data integration technology and practices have come a long way in recent decades. Organizations have moved away from the rudimentary batch-mode integration that transmits entire data sets back and...

It is a challenge for insurance companies to increase organizational agility in the face of rapidly evolving business conditions and a changing regulatory environment. High inflation and an increase...

Data is one of the most valuable assets in most modern organizations. Whether you’re a financial services company using data to combat financial crime, a transportation company seeking to minimize...

This article on avoiding cloud vendor lock-in was originally published in Enterprise Tech Journal. Accelerating paces of digital business and technology innovations have created massive amounts of...