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CloudBlaze

Configuration Driven Platform to Manage Data Assets on Cloud

CloudBlaze is Rawcubes’ Data processing platform that facilitates modernization of enterprise data assets to maximize performance, reduce cost and risk of human error.

Cloudblaze brings 4X efficiency in data asset deployment resulting in 60% effort savings and eliminates human error.

Bring 4X performance improvement and more than 60% effort savings

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Configuration GUI

CloudBlaze features a user-friendly GUI that makes it easy to deploy and complete workloads to Cloud. The interface makes it easy to manage the source on boarding, according to the deployment strategy. Cloudblaze also has the ability to manage the strategy by grouping activities on application basis to ensure that all required data sources,parameters, and schemas are deployed and tracked for each application.

Resource Provisioning

Provisioning based deployment of the cloud infrastructure speeds up the migration of on-premise workloads to cloud.

CloudBlaze supports dynamic provisioning of cloud infrastructure that allows the resource lifecycle to become shorter and even become part of the application lifecycle.
  • CloudBlaze data management automates and manages the full lifecycle of the data - whether data lives on-premise or in the cloud.
  • CloudBlaze policy-based automation provides as-is copy of source data by the delta ingestion frequency. CloubBlaze automatically eliminates copy of the data that is no longer needed to optimize storage.

Seamless Schema Automation

Maintenance and upgradation of schema for source systems, especially for large number of sources, becomes challenging to keep target schema in sync with frequently changing schema at source.

CloudBlaze schema management is capable of handling end to end schema changes. The ability to auto collect the source schema decreases the risk of user error and accelerates the migration process. 

Once the schema is collected from source system, the schema is automatically provisioned for the target system. The support for schema transformation from one data source to another data source helps in consolidating the data from different sources onto unified cost-effective storage. 

The custom activity automatically detects the changes at runtime in source schema and updates the target schema accordingly.

Data Transformation

CloudBlaze supports number of data transformation activities to carry out the required transformation before ingesting the data onto target system. Using CloudBlaze configuration GUI, the transformation activities are defined in an intuitive manner.  

CloudBlaze provides an easy way to define transformation activities to be carried out before the data is finally ingested onto target system.Configuration required for transformation activity is defined using config UI and picked up by the automated jobs to do the transformation.

Data Transformation

CloudBlaze supports number of data transformation activities to carry out the required transformation before ingesting the data onto target system. Using CloudBlaze configuration GUI, the transformation activities are defined in an intuitive manner.   

CloudBlaze provides an easy way to define transformation activities to be carried out before the data is finally ingested onto target system.Configuration required for transformation activity is defined using config UI and picked up by the automated jobs to do the transformation.

Deployment Automation

CloudBlaze deployment is fully automated that supports continuous delivery and production deployments backed by deployment pipeline. Everything is version controlled that allows to support multiple releases simultaneously.

Any new feature being introduced quickly moved from Development Environment to Test to UAT environment.

Deployment Automation

CloudBlaze deployment is fully automated that supports Continuous delivery and production deployments backed by deployment pipeline. Everything is version controlled that allows to support multiple releases simultaneously.

Any new feature being introduced quickly moved from Development Environment to Test to UAT environment.

Centralized Reconciliation

All activities right from provisioning,resource deployment, data curation to transformation are tracked and monitored. Any changes made during data ingestion are logged into provenance repository allowing centralized auditing and monitoring of data lineage.

Technology Stack

Database
Management

  • Azure SQL database
  • User Directory – AD
  • Artifactory

DevOps
Tools

  • Version Control: VSTS
  • Build and Deploy: MS Build
  • Test Automation: Selenium
  • CI: VSTS

Data
Processing

  • Azure Data Factory V2
  • Spark
  • PIG

Programming
Languages

  • ASP.NET Core
  • .NET Framework
  • C#