Other Hadoop-related projects at Apache include: Ambari™: A web-based tool for provisioning, managing, and monitoring Apache Hadoop clusters which includes support for Hadoop HDFS, Hadoop MapReduce, Hive, HCatalog, HBase, ZooKeeper, Oozie, Pig and Sqoop. Ambari also provides a dashboard for viewing cluster health such as heatmaps and ability.
Developer(s) | Apache Software Foundation | ||||||||||
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Initial release | March 28, 2008; 11 years ago | ||||||||||
Stable release |
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Repository | HBase Repository | ||||||||||
Written in | Java | ||||||||||
Operating system | Cross-platform | ||||||||||
Type | Distributed database | ||||||||||
License | Apache License 2.0 | ||||||||||
Website | hbase.apache.org |
Apache Kylin no longer provides the download for pre-built ODBC driver binary package. You can compile it from the source code (in the “odbc” sub-folder), or get from a vendor. Read this announcement. Apache HBase is a non-relational distributed database that enables quick real time access to up to petabytes of data. Learn more about how HBase works, the benefits, and how your business can begin using HBase. HBase is an open-source non-relational distributed database modeled after Google's Bigtable and written in Java.It is developed as part of Apache Software Foundation's Apache Hadoop project and runs on top of HDFS (Hadoop Distributed File System) or Alluxio, providing Bigtable-like capabilities for Hadoop.
HBase is an open-sourcenon-relationaldistributed database modeled after Google'sBigtable and written in Java. It is developed as part of Apache Software Foundation's Apache Hadoop project and runs on top of HDFS (Hadoop Distributed File System) or Alluxio, providing Bigtable-like capabilities for Hadoop. That is, it provides a fault-tolerant way of storing large quantities of sparse data (small amounts of information caught within a large collection of empty or unimportant data, such as finding the 50 largest items in a group of 2 billion records, or finding the non-zero items representing less than 0.1% of a huge collection).
HBase features compression, in-memory operation, and Bloom filters on a per-column basis as outlined in the original Bigtable paper.[2] Tables in HBase can serve as the input and output for MapReduce jobs run in Hadoop, and may be accessed through the Java API but also through REST, Avro or Thrift gateway APIs. HBase is a column-oriented key-value data store and has been widely adopted because of its lineage with Hadoop and HDFS. HBase runs on top of HDFS and is well-suited for faster read and write operations on large datasets with high throughput and low input/output latency.
HBase is not a direct replacement for a classic SQLdatabase, however Apache Phoenix project provides a SQL layer for HBase as well as JDBC driver that can be integrated with various analytics and business intelligence applications. The Apache Trafodion project provides a SQL query engine with ODBC and JDBC drivers and distributed ACID transaction protection across multiple statements, tables and rows that use HBase as a storage engine.
- Now we are all set to run HBase, to start HBase execute the command below from the bin folder. Open Command Prompt and cd to Hbase’ bin directory Run start-hbase.cmd.
- HBase on Azure: Import/Export snapshots from/to ADLS. By Apekshit Sharma, HBase Committer. Azure Data Lake Store (ADLS) is Microsoft’s cloud alternative for Apache HDFS. In this blog, we’ll see how to use it as backup for storing snapshots of Apache HBase tables.
HBase is now serving several. Retrieved 7 September 2019.
Apache Hbase Download Archive
Bibliography[edit]
- Dimiduk, Nick; Khurana, Amandeep (28 November 2012). HBase in Action (1st ed.). Manning Publications. p. 350. ISBN978-1617290527.
- George, Lars (20 September 2011). HBase: The Definitive Guide (1st ed.). O'Reilly Media. p. 556. ISBN978-1449396107.
- Jiang, Yifeng (16 August 2012). HBase Administration Cookbook (1st ed.). Packt Publishing. p. 332. ISBN978-1849517140.
External links[edit]
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