Pre Sales
  • BDB Pre Sales
  • Manufacturing Use Case
    • Introduction
    • How is BDB different than Azure, AWS, or GCP?
    • Project Definition and Requirements
      • Functional Requirements
      • Technical Requirements
      • Non-Functional Requirements
      • Project Deliverables
    • Functional Requirements from Manufacturing
    • Technical Requirements
      • Data Ingestion
      • Data Processing (Batch Data)
      • Data Processing (Real-Time Data)
      • Data Preparation
      • Data Store(Data Lake)
      • Data Store (Enterprise Datawarehouse)
      • Query Engine
      • Data Visualization
      • BDB Search
      • Advanced Analytics and Data Science
    • Data Services
    • Security Requirements
    • Networking Requirements
    • Operational Requirement
    • Non-Functional Requirements
      • Scalability
      • Availability
    • Data Platform Benchmarking
    • Hardware Sizing Requirements
  • Data Platform Evaluation Criteria
    • Data Preparation
    • Data Platform Evaluation Highlights
    • Data Pipeline
    • Ingestion Connector
      • Seamless Handling of Data ops and ML ops
    • Ingestion Process
      • Building a path from ingestion to analytics
    • Data Preparation
      • Processing Modern Data Pipeline
  • BDB POC Approach
  • BDB Vertical Analytics
  • Technical FAQs
    • Data Platform
    • Administration
    • Data Security & Privacy
    • Analytics
    • Data Preparation
    • Data Pipeline
    • Dashboard Designer
    • Business Story
    • Performance & Scalability
    • Global and Embeddable
    • Deployability
    • User Experience
    • Support & Licensing
    • AI
    • Change Management
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  • Customers have a concept of non-prod and prod environments. What method is used to promote the changes from a non-prod environment to a prod environment?
  • Can the workflows & custom modules be managed within a source control like GitHub/Azure Git and then deployed via GitHub Actions/Azure DevOps pipelines?
  • During upgrades how does the BDB Platform ensure that the customizations developed for our bespoke requirements are supported?
  1. Technical FAQs

Change Management

Customers have a concept of non-prod and prod environments. What method is used to promote the changes from a non-prod environment to a prod environment?

On the BDB Platform, we have a promotion/migration tool to move contents from one environment to another environment.

To ensure proper version control and facilitate migrations, we utilize both GitHub and GitLab.

Can the workflows & custom modules be managed within a source control like GitHub/Azure Git and then deployed via GitHub Actions/Azure DevOps pipelines?

Yes, the BDB Platform supports GitHub action/Gitlab pipelines and CI/CD deployment will happen seamlessly.

During upgrades how does the BDB Platform ensure that the customizations developed for our bespoke requirements are supported?

At the BDB Platform, we utilize standardized templates during custom development projects. Custom code is maintained outside the application and containerized separately.

BDB always ensures backward compatibility during platform upgrades to ensure seamless and efficient upgrades.

PreviousAI

Last updated 2 years ago