Hitachi Vantara, a subsidiary of Hitachi Ltd. unveils Pentaho 8.0 with real-time data processing. At its PentahoWorld 2017 user conference, Hitachi Vantara unveiled the next generation of its Pentaho data integration and analytics platform software.
This new software is enhanced and provides support for Spark and Kafka to improve data and stream processing, plus the ability to easily match compute resources with business demand in real time. Pentaho 8.0 is designed to help Hitachi’s customers extract greater value from their data to gain a competitive advantage and accelerate their digital transformation journeys.
Hitachi Vantara aims to prepare customers businesses to address this real-time data deluge by optimizing and modernizing their data analytics pipelines and improving the productivity of their existing teams.
Pentaho 8.0 fully enables stream data ingestion and processing using its native engine or Spark. This adds to existing Spark integration with SQL, MLlib and Pentaho’s adaptive execution layer.
When it comes to publishing or subscribe messaging system Kafka is the most preferred as it handles large data volumes that are common in today’s big data and IoT environments. This upgraded version, Pentaho 8.0 now enables real-time processing with specialized steps that connect Pentaho Data Integration (PDI) to Kafka.
Building on its existing enterprise-level security for Cloudera and Hortonworks, Pentaho 8.0 now adds support for the Knox Gateway used for authenticating users to Hadoop services.
This will also allow IT managers to easily bring up additional nodes and spread simultaneous workloads across all available computation resources to match capacity with demand. This matching provides elasticity and portability between cloud and on-premises environments resulting in faster and more efficient processing for end users.
Pentaho 8.0 helps to read and write popular big data file formats and process with Spark using Pentaho’s visual editing tools. It is also having granular filters for preparing data, improved repository usability and easier application auditing.
