1. Kyvos Insights Releases Big Data Analytical Processing Solution for Hadoop
7/5/2015 10:05:56 AM
Kyvos Insights Releases Big Data Analytical Processing Solution for Hadoop
Apache Hadoop,Cloudera,Hortonworks,MapR,Big Data,Analytics
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App Developer Magazine

Kyvos Insights Releases Big Data Analytical Processing Solution for Hadoop



Stuart Parkerson Stuart Parkerson in Enterprise Sunday, July 5, 2015
7,654

Kyvos Insights, a new player in the big data analytics industry, has announced the general availability of its first product providing an online analytical processing (OLAP) solution for Hadoop.

The Kyvos platform offers a “cubes on Hadoop” platform technology that allows users to visualize, explore and analyze big data interactively, working directly on Hadoop with a tool that supports OLAP-based dimensional analytics, big data and Hadoop all at the same time.

The Kyvos platform enables businesses to convert raw data into insights and supports all major Hadoop distributions including Apache Hadoop, Cloudera, Hortonworks and MapR.

The new Kyvos platform provides the ability to:

- Develop insights from all data, both structured and unstructured, regardless of size and granularity with a simple, drag and drop interface.

- Develop insights from all data, both structured and unstructured, regardless of size and granularity with a simple, drag and drop interface.

- Empower users to do self-service analytics.

- Work visually, with no programming required, using Kyvos, Microsoft Excel or other visualization tools such as Tableau.

- Drill down and examine all aspects of data.

- Interact with data without waiting for reports.

- Get query results in just seconds

Developer centric benefits of the platform include:

- Build cubes directly on Hadoop at any scale for multi-dimensional analytics.

- Deal with rapid data ingestion with incremental cube builds.

- Avoid moving data to a separate data mart for analysis.

- Transform data visually with no programming required.



Read more: http://www.kyvosinsights.com/

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