A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

For some time Microsoft didn’t offer a solution for processing big data in cloud environments. SQL Server is good for storage, but its ability to analyze terabytes of data is limited. Hadoop, which ...

Hive's SQL-like query language and vastly improved speed on huge data sets make it the perfect partner for an enterprise data warehouse Apache Hive is a tool built on top of Hadoop for analyzing large ...

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 ...

In a recent article, I wrote about how you could create a Hadoop cluster within the Amazon Web Services (AWS) cloud. After completing that article, it occurred to me that it might be useful for to ...

SQL is, arguably, the biggest workload many organizations run on their Hadoop clusters. And there’s good reason why: The combination of a familiar interface (SQL) along with a modern computing ...