Repository: gora Updated Branches: refs/heads/master e8e58a425 -> a39cfe48e
GORA-333 - Move README to markdown for better rendering on Github Project: http://git-wip-us.apache.org/repos/asf/gora/repo Commit: http://git-wip-us.apache.org/repos/asf/gora/commit/a39cfe48 Tree: http://git-wip-us.apache.org/repos/asf/gora/tree/a39cfe48 Diff: http://git-wip-us.apache.org/repos/asf/gora/diff/a39cfe48 Branch: refs/heads/master Commit: a39cfe48e29aca35e2c0c9d1a7e1a63688b123c4 Parents: e8e58a4 Author: Lewis John McGibbney <[email protected]> Authored: Wed Jun 4 08:55:14 2014 -0700 Committer: Lewis John McGibbney <[email protected]> Committed: Wed Jun 4 08:55:14 2014 -0700 ---------------------------------------------------------------------- README.md | 71 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++ README.txt | 72 --------------------------------------------------------- 2 files changed, 71 insertions(+), 72 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/gora/blob/a39cfe48/README.md ---------------------------------------------------------------------- diff --git a/README.md b/README.md new file mode 100644 index 0000000..e9021b3 --- /dev/null +++ b/README.md @@ -0,0 +1,71 @@ +#Apache Gora Project + +<img src="http://gora.apache.org/resources/img/powered-by-gora.png"; align="right" width="300" /> + +The Apache Gora open source framework provides an in-memory data model +and persistence for big data. Gora supports persisting to column stores, +key value stores, document stores and RDBMSs, and analyzing the data +with extensive Apache Hadoop MapReduce support. + +##Why Gora? + +Although there are various excellent ORM frameworks for relational +databases, data modeling in NoSQL data stores differ profoundly +from their relational cousins. Moreover, data-model agnostic +frameworks such as JDO are not sufficient for use cases, where one +needs to use the full power of the data models in column stores. +Gora fills this gap by giving the user an easy-to-use ORM framework +with data store specific mappings and built in Apache Hadoop support. + +The overall goal for Gora is to become the standard data representation +and persistence framework for big data. The roadmap of Gora can be +grouped as follows. + +* Data Persistence : Persisting objects to Column stores such as + HBase, Cassandra, Hypertable; key-value stores such as Voldermort, + Redis, etc; SQL databases, such as MySQL, HSQLDB, flat files in local + file system or Hadoop HDFS. + +* Data Access : An easy to use Java-friendly common API for accessing + the data regardless of its location. + +* Indexing : Persisting objects to Lucene and Solr indexes, + accessing/querying the data with Gora API. + +* Analysis : Accesing the data and making analysis through adapters for + Apache Pig, Apache Hive and Cascading + +* MapReduce support : Out-of-the-box and extensive MapReduce (Apache + Hadoop) support for data in the data store. + +#Background + +ORM stands for Object Relation Mapping. It is a technology which +abstacts the persistency layer (mostly Relational Databases) so +that plain domain level objects can be used, without the cumbersome +effort to save/load the data to and from the database. Gora differs +from current solutions in that: + +* Gora is specially focussed at NoSQL data stores, but also has limited + support for SQL databases. + +* The main use case for Gora is to access/analyze big data using Hadoop. + +* Gora uses Avro for bean definition, not byte code enhancement or annotations. + +* Object-to-data store mappings are backend specific, so that full data + model can be utilized. + +* Gora is simple since it ignores complex SQL mappings. + +* Gora will support persistence, indexing and anaysis of data, using Pig, + Lucene, Hive, etc. + + + For the latest information about Gora, please visit our website at: + + http://gora.apache.org + +#License + +Gora is provided under Apache License version 2.0. See LICENSE.txt for more details. http://git-wip-us.apache.org/repos/asf/gora/blob/a39cfe48/README.txt ---------------------------------------------------------------------- diff --git a/README.txt b/README.txt deleted file mode 100644 index 3601089..0000000 --- a/README.txt +++ /dev/null @@ -1,72 +0,0 @@ -Apache Gora Project -=================== - -The Apache Gora open source framework provides an in-memory data model -and persistence for big data. Gora supports persisting to column stores, -key value stores, document stores and RDBMSs, and analyzing the data -with extensive Apache Hadoop MapReduce support. - -Why Gora? ---------- - -Although there are various excellent ORM frameworks for relational -databases, data modeling in NoSQL data stores differ profoundly -from their relational cousins. Moreover, data-model agnostic -frameworks such as JDO are not sufficient for use cases, where one -needs to use the full power of the data models in column stores. -Gora fills this gap by giving the user an easy-to-use ORM framework -with data store specific mappings and built in Apache Hadoop support. - -The overall goal for Gora is to become the standard data representation -and persistence framework for big data. The roadmap of Gora can be -grouped as follows. - -* Data Persistence : Persisting objects to Column stores such as - HBase, Cassandra, Hypertable; key-value stores such as Voldermort, - Redis, etc; SQL databases, such as MySQL, HSQLDB, flat files in local - file system or Hadoop HDFS. - -* Data Access : An easy to use Java-friendly common API for accessing - the data regardless of its location. - -* Indexing : Persisting objects to Lucene and Solr indexes, - accessing/querying the data with Gora API. - -* Analysis : Accesing the data and making analysis through adapters for - Apache Pig, Apache Hive and Cascading - -* MapReduce support : Out-of-the-box and extensive MapReduce (Apache - Hadoop) support for data in the data store. - -Background ----------- - -ORM stands for Object Relation Mapping. It is a technology which -abstacts the persistency layer (mostly Relational Databases) so -that plain domain level objects can be used, without the cumbersome -effort to save/load the data to and from the database. Gora differs -from current solutions in that: - -* Gora is specially focussed at NoSQL data stores, but also has limited - support for SQL databases. - -* The main use case for Gora is to access/analyze big data using Hadoop. - -* Gora uses Avro for bean definition, not byte code enhancement or annotations. - -* Object-to-data store mappings are backend specific, so that full data - model can be utilized. - -* Gora is simple since it ignores complex SQL mappings. - -* Gora will support persistence, indexing and anaysis of data, using Pig, - Lucene, Hive, etc. - - - For the latest information about Gora, please visit our website at: - - http://gora.apache.org - -License -------- -Gora is provided under Apache License version 2.0. See LICENSE.txt for more details.
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