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Olap on hadoop - IS OLAP DEAD IN THE AGE OF BIG DATA?

Kyvos Solutions for Big data analytics with OLAP on Hadoop Technology.

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Olap on hadoop - IS OLAP DEAD IN THE AGE OF BIG DATA?

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  1. Kyvos is a comprehensive online analytical processing (OLAP) solution specifically designed for Big Data, delivering unprecedented scalability and eliminating the limitations of traditional solutions. Kyvos provides a solution that enables business users to get productive right away without needing programming or Hadoop expertise. WHY KYVOS OLAP ON HADOOP OLAP at unprecedented scale. Build cubes for multi-dimensional analytics directly on Hadoop with linear scalability as data size increases. Transform data and build cubes with no programming. Easy to use interface to define data relationships, design, and build cubes. No overhead of moving data out of Hadoop. Automatic generation of Map Reduce jobs to build the cube. Support for incremental cube builds. Fast, interactive queries on multi- dimensional data. Analytical processing is done on the Hadoop cluster, eliminating the overhead of moving data to an external data mart or analytics platform. Browse graphically with interactive charts and dashboards. Linearly scalable query server architecture delivers interactive query response times. Visualize from Kyvos, Tableau or Excel. Process data at any scale or complexity, allowing detailed analysis of empirical data at any granularity. EXTERNAL VISUALIZATION TOOLS KYVOS CLIENT TABLEAU EXCEL ??? KYVOS SERVER ZOOKEEPER QUERY SERVERS HADOOP CUBES DATA

  2. Key Features Description/Function Data transformation with no Workflow model to process and transform data on Hadoop. programming Rich set of functions including joins, unions, filters, data manipulation and aggregation functions and formulae. Support for custom functions. Preview sample results at each step. Eliminate information silos Organizations are bringing in data from diverse data sources and formats, structured and unstructured, into Hadoop. Kyvos enables you to combine and process this data, and do multi-dimensional analysis on a complete view of all your datasets. Simple and powerful cube design Define relationships between datasets with simple drag and drop. Support for dimension hierarchies and attributes. Specify dimensions and measures, and schedule the cube to be built at a specified time. Build and store cubes on Hadoop. Schedule incremental cube builds Support for incremental cube builds as new data is ingested. Specify schedule for incremental cube builds. Multi-dimensional OLAP viewer Interactive multi-dimensional analytics on Hadoop. Slice and dice, drill down and explore data through interactive charts and dashboards. Linearly scalable query engine delivers response in under two seconds. Access through Tableau or Excel Use your tool of choice, Tableau or Excel, to visualize and explore data, and build charts, dashboards and reports. This brings the power and scalability of “Cubes on Hadoop” to Tableau and Excel. Security framework Support for role based access control. Granular access control at the object level provides the ability to set user and group permissions for charts, worksheets, datasets, cubes etc. Support for leading Hadoop Support for latest releases of Cloudera, Hortonworks, MapR and Pivotal, as well as Apache Hadoop. distributions Easy to deploy and manage Automated deployment, monitoring and management of all Kyvos components. Product names, logos, brands and other trademarks referred to within this document are the property of their respective trademark holders.

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