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Hitachi Vantara Launches Pentaho 8.0 With Real-Time Data Processing

By   /  October 31, 2017  /  No Comments

by Angela Guess

According to a recent press release, “Hitachi Vantara, a wholly-owned subsidiary of Hitachi Ltd., today unveiled the next generation of its Pentaho data integration and analytics platform software. Pentaho 8.0 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. The new release is designed to help Hitachi’s customers extract greater value from their data to gain a competitive advantage and accelerate their digital transformation journeys. According to independent research firm IDC, the global datasphere will grow to 163 zetabytes by 2025 – 10 times faster than the amount of data generated in 2016. The firm also forecasts that more than a quarter of that data will be real-time in nature, with IoT data making up more than 95-percent of it.”

The release goes on, “With its Pentaho 8.0 release, Hitachi Vantara helps customers to better prepare their businesses to address this real-time data deluge by optimizing and modernizing their data analytics pipelines and improving the productivity of their existing teams. New enhancements to the Pentaho 8.0 platform allow users to… Improve Connectivity to Streaming Data Sources: With data moving faster, it’s critical to process it as it happens and react immediately if necessary. New capabilities in Pentaho 8.0 include: (1) Stream processing with Spark: Pentaho 8.0 now 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. (2) Connect to Kafka Streams: Kafka is a very popular publish/subscribe messaging system that handles large data volumes that are common in today’s big data and IoT environments. Pentaho 8.0 now enables real-time processing with specialized steps that connect Pentaho Data Integration (PDI) to Kafka.”

Read more at Globe Newswire.

Photo credit: Hitachi Vantara

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