Data Lake-as-a-Service provides big data processing in the cloud for business outcomes in a cost effective way. InfoQ spoke with Lovan Chetty & Hannah Smalltree from Cazena about these solutions work.

Real-time data processing is more important than ever for making fast, critical business decisions. Here are some ways to achieve that.

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 ...

Get your data from everywhere you can, anytime you can, they said, so you did. Now, you have a series of data points through time (a time series) in your hands, and you don't know what to do with ...

Traditional data centers can’t keep pace with the demands of modern AI. From GPUs and liquid cooling to specialized storage, ...

Big data is data that exceeds the processing capacity of conventional database systems. The data is too big, moves too fast, or doesn't fit the strictures of your database architectures. To gain ...

Founded in 2007 with a registered capital of 4 million RMB, Yikangxin is based in Hangzhou and focuses on software and ...

The core of big data models lies in the synergy of algorithm innovation, computational power support, and data governance to ...