Virtual Cubes
A new vision for creating and supporting complex OLAP environments, but without the headache of cube proliferation
:: Are you struggling with cube proliferation across your business?
:: Would you like to analyze more data, faster by creating virtual cubes instead?
:: Would you like to run true train-of-thought analyses on large volumes of data?
:: Use Microsoft Excel as your de facto BI application front-end tool?
:: Enable more users to get to the underlying data, reducing your costs, time and resources?
If any of these ideas has resonated with you and the challenges you currently face with OLAP cubes, then it’s time to take a look at Kognitio's latest extension to its Analytical Platform. Intended for use by organizations that have made a major commitment to OLAP-based analysis, it dispenses with the logistical headaches of physical cube creation and population, and creates virtual cubes instead. Consequently, using Microsoft Excel (TM) as a front-end BI application, more users can access larger data sets more quickly, with 100% drill-down capabilities, and ultimately conduct more ad-hoc train-of-thought analyses on their data.
Watch virtual cubes in action
Click on the video below to watch a short demonstration of how you can build and publish virtual cubes.
Key features of the MDX extension layer to Kognitio
Replacing physical OLAP cubes with virtual ones offers the following advantages:
:: Holistic view of your data - users with an OLAP view of 100% of their data volumes, whether small or large
:: Zero latency - large virtual cubes can be created, deployed and re-populated within just seconds
:: Reduced operating costs - Deploying Pablo means that Microsoft Excel can become the de facto BI application layer for WX2. Advanced users can continue to use other tools such as IBM Cognos and SAP Business Objects
:: Single version of the truth - instead of having to contend with multiple physical cubes that represent data snapshots that age as soon as they are created, Pablo gives all users access to the same underlying data volume
:: Agile data exploration - unlike physical cubes, Pablo does not extract, aggregate or sample data. Instead, users can run analyses against multi-TB data volumes
:: Focus on analysis, not overhead - cut down the work needed with cube creation, front-end analysts can get on with analyzing their data, instead of getting it ready to analyze
:: Flexible licensing model - as an extension to the Kognitio Analytical Platform - adding virtual cubes to your environment is easily done via software that runs on industry-standard servers, or as an Analytical Appliance or on-demand as part of Kognitio Cloud.
Interested in learning more?
Webinar
:: View a recorded webinar in Virtual Circle's Briefing Room on virtual cube advantages from Kognitio
Engage with Kognitio
:: Request a meeting with Kognitio
:: Register for a free trial download
Collaterals
:: Read the Virtual Cubes brochure
:: Read the Virtual Cubes techical white paper
:: Read the Virtual Cubes - Changing the game in analytics white paper
