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.

The Hadoop Summit of 2010 included presentations from a number of large scale users of Hadoop and related technologies. Notably, Facebook presented a keynote and details information about their ...

Apache Hadoop has been the driving force behind the growth of the big data industry. You'll hear it mentioned often, along with associated technologies such as Hive and Pig. But what does it do ...

Commodity hardware is making waves as big data technology like Hadoop, Hive, Mahout, HBase and Cassandra make solving big data problems easier and simpler.

The Hive effort spearheaded by Thusoo and a small team inside Facebook grew quickly, and development of Hive continued well after he left with the company in 2011, along with another Facebook data ...

Once you've created a Hadoop cluster within Amazon Web Services, you can process data using a hive script.

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 ...

Being based on Hadoop from the beginning has made a big difference to our ability to innovate, says Spotify's Josh Baer Spotify is a company that does things differently. Josh Baer, Hadoop product ...