The reference architecture makes it easy for firms to offload their ETL workloads into Hadoop, boosting performance and freeing up valuabel cycles in the enterprise data warehouse, Syncsort said.

NoSQL and Hadoop-two foundations of the emerging agile data architecture-have been on the scene for several years now, and, industry observers say, adoption continues to accelerate-especially within ...

This article discusses what stream processing is, how it fits into a big data architecture with Hadoop and a data warehouse (DWH), when stream processing makes sense, and what technologies and ...

“Hadoop has crossed over to become an enterprise-viable data platform,” he said during an interview with theCUBE during Hadoop Summit 2015. “The architecture can now address multiple kinds ...

Hadoop is hard. There’s just no way around that. Setting up and running a cluster is hard, and so is developing applications that make sense of, and create value from, big data. What Hadoop really ...

A lot of big data/Hadoop implementations are swimming against the currents of what recent history has taught about large scale computing and the result is a significant amount of waste, says Univa CEO ...

Hortonworks' vision of Apache Hadoop's role in the Modern Data Architecture. Together with its extensive partner ecosystem, Hortonworks is ensuring that Apache Hadoop integrates with, extends and ...

As the Yahoo Search Blog explains, open-source Apache Hadoop is now at the center of Yahoo’s search index: We are now using Hadoop to process the Webmap — the application which produces the ...