- Bugfix: DateTime now parses string formats
- Bugfix: Permission issues running Sparkta service
- Bugfix: Minor errors in user interface
- Hotfix: User interface was not showing up
- Upgrade Spark version to 1.4.1
- User Interface to help create your cubes
- Automatic deployment in Mesos cluster
- Policy status lifecycle
- New WebSocket input
- Elasticsearch output updated to version 1.7
- New EntityCount and TotalEntityCount operators
- Filters in operators
- Added compatibility with Apache Spark 1.4.x
- Released a specific distribution for Apache Spark 1.3.x
- Support for fragment composition in policies.
- Policy refactor. Improved semantic of the JSON.
- Parquet and CSV outputs.
- Improved Twitter input. Possibility to filter tweets by hashtag.
- Fixed important bug in Elasticsearch output. Fields are mapped according to their type.
- SandBox Stratio Sparkta
- Integration with Spark 1.3.1
- Auto create time series in outputs if not exist time dimension
- Full integration in Outputs with Spark DataFrames
- Auto create "Id" in DataFrames with dimensions
- Save Raw data in Parquet files
- Auto detection schema with policies
- Reflexions for native plugins
- Interactive documentation
- Client SDK generation and discoverability
- Compatibility with multiple oputputs
- Output Cassandra:
- Auto tables creation
- Auto primary key and column families detection
- Auto index creation
- Output ElasticSearch:
- Options in mapping date types
- Auto index type with time fields
- Output Redis
- Input Kafka Direct Streaming integrated in Spark 1.3.0
- Input RabbitMq
- Full-Text operator
- Accumulator operator
- Last Value operator