Ashish Thusoo and Namit Jain explain how Facebook manages to deal with 12 TB of compressed new data everyday with Hive’s help. Hive is an open source data warehousing framework built on Hadoop ...

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 ...

Hortonworks yesterday announced a new version of Apache Hive, the open source data warehouse software running on top of Hadoop, with new SQL query features and performance improvements.

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 ...

Hive can open up Hadoop systems to traditional data analysts and traditional Business Intelligence tools. But as a revolutionary technology, Hadoop and big data are more about breaking with existing ...

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 ...

Hadoop introduced a new way to simplify the analysis of large data sets, and in a very short time reshaped the big data market.

“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 ...