Pentaho Data Integration

Product Overview

"Pentaho Data Integration (PDI) manages data at scale for rapid business innovation, ease of use, self-service automation and orchestration of your data workflowsCOMPONENTS INCLUDED:Native connectivity and bulk-loading to most common data sources, including Amazon Redshift and SnowflakeData services to virtualize transformations without staging, making data sets immediately available to reports and applicationsProcess streaming data in real time.Native Containerization to support multi-cloud deploymentsKEY FEATURES:Code-free data transformation design that empowers 15x faster productivity versus hand-coding and executes in-cluster for high performanceTemplate-based approach to rapidly onboard data sources into Hadoop via metadata injection feature setAbility to seamlessly switch between execution engines, such as Spark and the Pentaho native engine, to fit data volume and transformation complexitySupport for advanced analytics models from R, Python, Scala and Weka to operationalize predictive intelligence while reducing data prep timeRobust Dataflow Orchestration of pipelineSupport both structured and unstructured dataTOP BENEFITS:50% Faster Implementation Time - seamlessly integrate a multitude of diverse on-premises, cloud, and edge data sources with speed and efficiency using modern data integration.3x Improve Pipeline Quality - No-code functionality versus hand-coding data pipelines using an easy drag and drop interface for on-premises and cloud Hadoop data lake integration.50% Faster Data Delivery - Produce stellar reports with intuitive processes and seamless integration that enhances the user experience, reduce data management costs, and create business valueTOP USE CASES:Onboard, prepare, filter data pipelines at scale combining data from both on-premises and cloud-based data sourcesCloud Data migration across hybrid cloud environmentsModernize and process large data sets in a data lake and data warehouseIntelligent cloud automation for rapid value creation"
Version: 9.5.2.0.273

By: Hitachi Vantara LLC
Categories: ELT/ETL
Data Integration
Data Preparation

Operating System
Linux/Unix, Ubuntu Ubuntu Server 20.04 LTS
Delivery Methods
Amazon Machine Image

Highlights: Code-free data transformation design that empowers 15x faster productivity versus hand-coding and executes in-cluster for high performance - Template-based approach to rapidly onboard data sources into Hadoop via metadata injection feature set. Ability to seamlessly switch between execution engines, such as Spark and the Pentaho native engine, to fit data volume and transformation complexity - Support for advanced analytics models from R, Python, Scala and Weka to operationalize predictive intelligence while reducing data prep time. Robust Dataflow Orchestration of pipeline - Support both structured and unstructured data.

Category: Infrastructure Software

Delivery Method: Amazon Machine Image