Pentaho Business Analytics
for Big Data
Pentaho accelerates the realization of value from big data with the most complete solution for big data analytics. Pentaho provides:
- Full continuity from data access to decisions – complete data integration and business analytics platform for any big data store
- Faster development, faster runtime – visual development and distributed execution
- Instant and interactive analysis – no coding and no ETL required
Visit the Pentaho Big Data Analytics Center to learn more about Pentaho and big data, access technical how-to articles, and keep up on industry news and trends.
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Instaview
To meet the specific needs of big data analysts, Pentaho introduced Instaview, the first instant and interactive application for big data. Instaview takes users from data to analytics in three simple steps to dramatically reduce the time to discover, visualize and explore large volumes of complex and diverse data.
Visit the Big Data Analytics Center to learn more about Instaview.
Pentaho Makes Analytics with Hadoop Easy
Using Pentaho Business Analytics with Hadoop enables high productivity visual development coupled with speed-of-thought analysis and data visualization:
- Complete Hadoop analytics platform – visual development for Hadoop data ingestion, preparation, integration and orchestration, and interactive visualization, exploration, prediction
- IT team efficiency by using existing skill sets – easily usable by IT, business analysts and data scientists without special training
- Insulation from risk – works with all of the leading Hadoop distributions, as well as NoSQL databases and traditional data stores, connecting Hadoop to the rest of the enterprise
- Productivity and performance – as much as 15x development productivity and runtime performance gains compared to hand coded MapReduce by using the only ETL engine that runs natively as a MapReduce task across the Hadoop cluster
Visit the Pentaho Big Data Analytics Center to learn more about Hadoop analytics.
NoSQL Analytics and Visualization
With deep native support for the most popular NoSQL databases, including Apache Cassandra/DataStax, HBase, MongoDB/10gen, and HPCC Systems, Pentaho provides:
- Complete Hadoop analytics platform – visual development for NoSQL data ingestion, preparation, integration and orchestration, and interactive visualization, exploration, prediction
- Reporting and analysis on growing amounts of user- and machine-generated data, including web content, documents, social media and log files
- IT team efficiency by using existing skill sets – easily usable by IT, business analysts and data scientists without special training
- Insulation from risk – works with all of the leading NoSQL databases, as well as Hadoop and traditional data stores, connecting NoSQL databases to the rest of the enterprise
- Productivity and performance – as much as 15x development productivity and runtime performance gains compared to hand-coded development for NoSQL databases
Visit the Pentaho Big Data Analytics Center to learn more about NoSQL analytics.
Using Relational Analytic Databases with Pentaho
Analytic databases are a rapidly growing category of relational database management systems designed for high scalability and performance, providing very fast query performance when used as data stores for query-intensive applications such as business intelligence. Pentaho provides performance optimized native support for the leading analytic databases, and enables performance-optimized data analysis, reporting and data integration, through:
- Deep integration with native SQL dialects
- Support for high performance parallel bulk data loader utilities
Visit the Pentaho Big Data Analytics Center to learn more about Analytic Databases.
