The terms ‘Big Data’ and ‘Hadoop’ have come ... of elastic capacity and cost models in the cloud to further optimize costs. Reduce complexity by adopting a two-stage, rather than three-stage data lake ...

The industry hype around Hadoop and the concept of the Enterprise Data Lake has generated enormous expectations reaching all the way to the executive suite. Yet, when trying to establish a Modern Data ...

I write about AI, big data and data science. In 2013, I spent a lot of time talking about Hadoop's ... The data lake dream is of a place with data-centered architecture, where silos are minimized ...

Businesses are continuously seeking innovative ways to manage and utilize their data efficiently. One such solution that has gained significant traction is the data lake architecture. This modern ...

However, two clear strategies have emerged to help organizations transition into the post-Hadoop era. For a long time, the Hadoop data lake was the ... memory processing model have yielded ...

As modern applications continue to grow in size and complexity, the traditional approach of using a single, general-purpose ...

Cloudera chose the event to announce enhancements to the Cloudera Data Platform One (CDP One), which I reviewed recently. CDP One recently added an open lake ... with new hybrid work models ...

What's the difference between a data lake and a data swamp? A data lake is built on top of cost efficient infrastructure. More often than not these days this is Hadoop, leveraging two of it most ...

Cloudera Data Platform (CDP) is launching today. It's a watershed release and brings existential changes to Hadoop and Big Data overall. It's the culmination of several developments, including ...

titled "Modern Data Platforms & Application Architecture," Florida Blue's Padmesh Kankipati covered key considerations for scaling a Hadoop data lake. “Hadoop has four node types: Master, Worker, ...