In this special guest feature, Murthy Mathiprakasam of Informatica discusses the rise of the Data Lake and what it means to the continued evolution of Big Data. Murthy Mathiprakasam is a Principal ...

What if the very foundation of your organization’s data strategy was holding you back? For years, data lakes have promised flexibility and scalability, yet many businesses find themselves grappling ...

The “data lake” concept became popular following the explosion of interest in big data and Hadoop. The data lake was seen as a modern and more efficient alternative to the enterprise data warehouse ...

Traditional data warehouses—once the backbone of business intelligence and reporting—are increasingly misaligned with today’s data demands. The surge in data volume, velocity and variety has exposed ...

Data lake is a newer IT term created for a new category of data store. But just what is a data lake? According to IBM, “a data lake is a storage repository that holds an enormous amount of raw or ...

Handling large amounts of data is a prerequisite of digital transformation, and key to this are the concepts of data lakes and data warehouses, as well as data hubs and data marts. In this article, we ...

When working with various data types at the speed of big data, this method is ideal for integrating and aggregating assorted information for the holistic value it provides The issue of schema—and what ...

Back when Jeff Bezos filled orders in his garage and drove packages to the post office himself, crunching the numbers on costs, tracking inventory and forecasting future demand was relatively simple.

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now What is a data lake solution? 5 must-have ...

In 2025, insurers face a data deluge driven by expanding third-party integrations and partnerships. Many still rely on legacy platforms, such as on-premises warehouses or siloed data systems. These ...