Overview: MongoDB continues to power modern applications, but analytics requires structured, reliable pipelines.ETL tools ...

Maria Anurag Reddy Basani, a seasoned expert in data engineering and analytics, has made significant strides in the field over the past decade. With experience spanning industries such as insurance, ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

In this special guest feature, Monte Zweben of Splice Machine outlines how traditional ETL processes are bursting at the seams with the volume of Big Data and ways to streamline the ETL pipeline.

Data Integration vs ETL: What Are the Differences? Your email has been sent If you're considering using a data integration platform to build your ETL process, you may be confused by the terms data ...

LAS VEGAS--(BUSINESS WIRE)--At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced new integrations that enable customers to quickly and easily ...

As a data engineering leader with over 15 years of experience designing and deploying large-scale data architectures across industries, I’ve seen countless AI projects stumble, not because of flawed ...

Data is at the heart of artificial intelligence, but it’s also emerging as one of its biggest bottlenecks. Without sufficient quantities of good, clean data to feed into models, companies simply can’t ...