Next, I will start with the ETL process and application scenarios to explain why companies are willing to invest resources in ...

Learn how to work with streaming data using Microsoft Fabric, KQL, and Real-Time Intelligence in this full-day Live! 360 ...

According to internet information statistics, the amount of data generated globally is expected to exceed 175ZB this year, ...

To ensure security, scalability and agility, many organizations are migrating to the cloud to unify data, reduce costs and ...

The rise of AI-ready private clouds represents a fundamental shift in how enterprises approach infrastructure. The objective ...

Aon's new tech startup approach uses GPU-powered actuarial modeling to redefine life insurance within a global corporate.

Peeyush Patel is a seasoned Data and Analytics Engineer with 9 years of experience, based in Nashville, Tennessee. With a strong educational foundation, including a Master of Science in Management ...

Using cloud infrastructure has enabled some economies of scale, but there are still high hopes that AI can deliver even greater savings and innovations. AI relies on having huge amounts of data, which ...

Prateek Panigrahy is a senior data analytics leader based in Westlake, Texas, with over 16 years of experience in the Business Intelligence domain. With a solid educational foundation including a ...

Many retail myths around product launches still persist—from overstocking safety stock to over-relying on historical data.

Over the past decade, data engineering has grown far beyond building ETL pipelines and managing data warehouses. Today, it ...

For finance teams, drill-through solves the age-old challenge of getting from a variance to its root cause—fast,” said Joe Cooper, VP of Alliances at Incorta. “Instead of pulling reports, chasing down ...