ENTERPRISE PLATFORM TO ACCELERATE THE DATA PIPELINE
Manage the Analytical Data Pipeline Within a Single Platform
Increase Time Efficiency
Dynamic and reusable data integration templates enable users to create transformations on the fly.
Keep Up With Data Growth
Multithreaded data integration engine scales up and out and includes deployment to clustered and cloud environments.
Features include performance monitoring, job rollback and restart, and an operations mart to streamline usage auditing.
BROAD AND ADAPTIVE BIG DATA INTEGRATION
Support Your Teams in This Rapidly Changing Big Data Environment
Manages and processes data in on-premises, hybrid and multicloud environments, insulated from big-data ecosystem changes.
Supports Hadoop, NoSQL, object store and analytics database distributions from a variety of software providers.
Real-Time Data Ingestion
Enables real-time data ingestion from Apache Kafka using Spark streaming and IoT protocols, without any rework.
BOOST YOUR TEAM'S PRODUCTIVITY ACROSS THE DATA PIPELINE
Collaborative Data Prep and Faster Access to Analytics
Support Multiple Engines
Seamlessly switch or combine data-processing engines with in-cluster execution to increase data productivity.
Enable In-Line Analytics
Reduce the time needed to provide data models for business users, improving collaboration between business and IT.
Reduce Development Time
Use data services to virtualize transformed data, making data sets immediately available for reports and applications.
OPERATIONALIZE DATA SCIENCE
Improve Alignment Between Data Engineers and Data Scientists
Prepare and Orchestrate Model Data
Prepare and blend traditional data with big data sources, like sensors and social media, for machine learning models.
Train, Tune, and Test Models
Seamlessly train, tune and test models for languages like R and Python, using libraries like Spark MLlib and Weka.
Deploy and Operationalize Models
Analyze results by easily embedding machine and deep learning models into data pipelines without coding knowledge.
Pentaho Data Integration
Learn how PDI delivers analytics-ready data to end users faster with visual tools that reduce time and complexity.
TDWI Report: Improving Data Prep for Business Analytics
Best practices for implementing the right strategy, processes, and technologies to solve data preparation trials.
READ CUSTOMER STORIES FOR PENTAHO DATA INTEGRATION
To extract millions of data flows and transform them into meaningful information our customers can use to enhance energy delivery processes, you have to do a lot of work. Pentaho makes it easier.
– Dan Hopkinson, Head of Network and EMI Services, ElectraLink
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Blend operational data sources with big-data sources to create an on-demand analytical view of key customer touchpoints.
Optimize the Data Warehouse
Reduce strain on your data warehouse by offloading less frequently used data workloads to Hadoop, without coding.
Streamlined Data Refinery
Streamlined Data Refinery blends, enriches and refines any data source into secure, on-demand analytic data sets.
Pentaho Business Analytics
Users are empowered to access, discover and blend all types and sizes of data, with minimal IT support.
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