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Applies to: Image Removed Kyvos Enterprise   Image Removed Kyvos Cloud (Managed Services on AWS)     Image Removed Kyvos Azure Marketplace

Image Removed Kyvos AWS Marketplace   Image Removed Kyvos Applies to: Kyvos Enterprise  Kyvos Cloud (SaaS on AWS) Kyvos AWS Marketplace

Kyvos Azure Marketplace Kyvos GCP Marketplace Kyvos Single Node Installation (Kyvos SNI)    Image Removed Kyvos Free ( Limited offering for AWS)

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The following figure shows a high-level workflow of everyday user tasks and how data flows through Kyvos. 

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Kyvos user roles and workflows

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A person may have more than one of these roles. 

Administrator

• Creates connections to data and Query Engines

• Registers sources such as Hadoop, SQL, other files or tables for use with Kyvos

• Manages users and Roles, security, and permissions

• Monitors Kyvos performance

• Imports and exports Kyvos data 

• May apply some transformation logic to the data

 Designer

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• Uses formulas, filters, and other transformation tools to

  do precalculations

  do precalculations on that data–to speed up subsequent analysis and highlight the important data

• Optionally, creates relationships within the data and between different data sources. For example, defining a relationship between a field in one file with an associated field in another file

• Designs and builds semantic models for multidimensional analysis

Business User

• Creates workbooks and worksheets

• Creates

  interactive dashboards

  Dashboards, charts, filters data

• Slices and dices into the data to develop insights

• Exports

  chart

  Charts data to share with others

• Uses Kyvos data with external analysis tools

Why create transformation and semantic models

Why do I need to create transformation and semantic models?

Big data often comes from a variety of sources, and you need to organize it in some way so you can work with it effectively.

Semantic models allow you to quickly and efficiently work with big data. Datasets enable you to transform the data before you use it. For example, you can group and filter data, pre-calculate aggregations of data, and hide data that is part of the source file but that you are not going to use during data analysis. Create relationships between data from different sources so that you can use them together for analysis. You can even specify how data is formatted, such as dates and currency.

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