Apache Hive (Hive) is a data warehouse system for the open source Apache Hadoop project. Hive features a SQL-like HiveQL language that facilitates data analysis and summarization for large datasets stored in Hadoop-compatible file systems.
Hive originated as a Facebook initiative before becoming a sub-project of Hadoop. Hive is currently an open source volunteer top-level project under the Apache Software Foundation.
Top 5 Hadoop Related Questions
1. What is Apache Hadoop?
2. What is Hadoop MapReduce?
3. What is HortonWorks?
4. What is Hadoop Distributed File System?
5. What is unstructured data?
- a Private Cloud Project
Companies initiate private cloud projects to enable their IT infrastructure to become more capable of quickly adapting to continually evolving business needs and requirements. Private cloud projects can also be connected to public clouds to create hybrid clouds. Unlike a public cloud, a private cloud project remains within the corporate firewall and under the control […]
An enterprise software firm that specializes in open source Apache Hadoop development and support. HortonWorks was launched in 2011 by Yahoo and Benchmark Capital, and its flagship product is Hortonworks Data Platform, which is powered by Apache Hadoop. Hortonworks Data Platform is designed as an open source platform that facilitates integrating Apache Hadoop with an […]
- Hadoop MapReduce
Hadoop MapReduce (Hadoop Map/Reduce) is a software framework for distributed processing of large data sets on compute clusters of commodity hardware. It is a sub-project of the Apache Hadoop project. The framework takes care of scheduling tasks, monitoring them and re-executing any failed tasks. According to The Apache Software Foundation, the primary objective of Map/Reduce […]
- Hadoop Distributed File System (HDFS) -
The Hadoop Distributed File System (HDFS) is a sub-project of the Apache Hadoop project. This Apache Software Foundation project is designed to provide a fault-tolerant file system designed to run on commodity hardware. According to The Apache Software Foundation, the primary objective of HDFS is to store data reliably even in the presence of failures […]
- Commodity Cluster Computing
Refers to using a large number of low-cost, low-performance commodity computers working in parallel instead of using fewer high-performance and high-cost computers.