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 ...

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 ...

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 ...

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

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 ...

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 ...

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 ...

Hapyrus Co-Founder Koichi Fujikawa says their service, a big data router, makes Redshift even more effective and an alternative to Hadoop and Hive, the most widely recognized combination used for ...

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 ...