Kettle中各个版本比较大的变化

Kettle(现在已经更名为PDI，Pentaho Data Integration)中各个版本比较大的变化

版本 新增功能
kettle 8.1 待补充
kettle7.1 Smarter Data Processing using the Adaptive Execution Layer (AEL) 、2. Drill-down Deeper on Your Data In-Flight 、 3. Azure HDInsight Cluster Configuration Now Supported、 4. Expanded Big Data Security 、 5. Improved Monitoring of System Performance with DI Operations Mart
kettle7.0 Inspect Your Data, Anywhere in the Pipeline(检查通道中的数据), 2. Improved Big Data Security(提高大数据安全)， 3. Easier Installation and Configuration with the Single Pentaho Server(pentaho单服务更容易安装和配置)， 4. Enhanced Spark Support(增强大对spark的支持)， 5. Expanded Metadata Injection Support(扩展元数据注入支持)， 6. Improved Repository Management(提高对Repository的管理) 7. Agile BI Plugin（敏捷BI插件）
kettle6.1 Metadata Injection Improvements 、 2. Hide a Calculated Measure in the Data Model、 3. Publish a Data Model with Hidden Attributes、4. Edit Calculated Measures in Analyzer、 5. Show and Hide Available Fields 、6. Pentaho Data Service as a Build Model Source、 7. Added Parameter Pushdown Optimization for Data Services 、8. Improved JSON Input Performance、 9. DI Repository on DI Server Renamed to Pentaho Repository、 10. Driver Download for Data Services in Pentaho Data Integration、 11. New Run Options Window 、12.
kettle6.0 Pentaho Data Services、 2. SNMP Monitoring 、 3. Inline Model Editing SDR Updates、 4. Data Lineage Analysis、 5. Big Data Improvements、6. Spoon Enhancements、 7. SAP HANA Bulk Loader Step
kettle5.4 Spark Support 、2. Support for SAP HANA 、 3. New Hadoop Configurations Supported、 4. YARN Improvements 、 5. Call BA Platform Endpoints in your Transformations 6. Named Hadoop Cluster Configuration Improvements 、 7. Sqoop Improvements、 8. PDI API Improvements、 9. Scheduling APIs for PDI、 10. New Carte APIs - POST Calls、 11. New PDI Look and Feel
kettle5.3 Manage Cluster Configuration with the Hadoop Clusters Feature、 2. New Developer Documentation、 3. New Cloudera and MapR Big Data Hadoop Distribution Support、 4. Better Support for High Load Environments and Large Deployments with Carte 、 5. Manually Migrating Big Data Cluster Configurations Stored in Hadoop Steps and Entries 、 6. Interactive Reports Performance Improvements
kettle5.2 New Streamlined Data Refinery Feature、 2. R Script Executor Step Improvements、 3.New DI Server Administration Features、 4.Kerberos Security Support for CDH 5.1 and HDP 2.1、 5.New Marketplace Plugins、 6.Improved Upgrade Experience
kettle5.1 Data Science Pack with Weka and R、 2. YARN Hadoop Distribution Support(hadoop分布式中的yarn的支持)、 3. Cloudera and MapR Hadoop Distribution Support(Cloudera和mapreduce的hadoop分布式支持)、 4. YARN for Carte Kettle Clusters、 5. Security Enhancements(增强的安全性)、 6. AES Password Support(AES密码支持)、 7. New Execute Permission、 8. Kerberos Security Support(Kerberos安全支持) 、 9. Impersonation Support、 10. Teradata and Vertica Bulkloaders 、 11. JBoss Platform Support、 12. New Marketplace Plugins、 13. Documentation Changes、