Support
  • BDB Support
    • Standard Platform Support SLA
      • Scope of Support Services
      • Incident Submission and Resolution
      • Support Policy
    • BDB Support for E2E Service built on Platform
      • Services
      • Services and Activities in Scope
      • Problem Management
      • Performance Management
      • Monitoring Management
      • Transition Services
      • Out of Scope Services
      • SOW Change Methodology
      • Application Service Levels
      • Steady State Governance
      • Communication /Reporting
      • Escalation Matrix
  • BDB Training Packages
    • Objective of Training
    • Training Courses1-Freshers-3 Month Plan
    • Training Schedule
    • 9 Weeks Training Program for New joiners
    • Data Analyst Training (Dashboard Creation)
    • Data Science Usage Training in BDB DS Lab
    • Data Engineering Training in BDB
    • Pricing
    • BDB Skills
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  1. BDB Training Packages

9 Weeks Training Program for New joiners

Week 1

  • Induction, Platform philosophy, Have your cloud thought process.

  • Webinar/Demo Video of the Platform.

  • Sessions on how this platform can help to build a solution in an optimized way.

  • Set up the expectation in the training period.

Week 2

  • End-to-End platform session by Solution Arch, relate the videos and webinar flows.

  • Hands-on Data Center

  • Hands-on BS.

  • They should try their hands on self-service, and we should collect feedback on usage of the same.

Week 3

  • Session on Data Centre & Business story by Solution Arch (for clarification and set the right approach)

  • Dashboard Designer Session by Mentors

  • Hands-on Dashboard Designer

Week 4

  • Dashboard Designer Session by Solution Arch

  • Continue Hands on Dashboard Designer

  • Advances Dashboard Designer Session by Mentors

  • Hands-on Advances Dashboard Designer

  • The task to be given by mentors

Week 5

Review of the Dashboard Task

Doubts clarification by Mentors

Data Preparation session by Mentors

Data Pipeline session by Solution Arch

The task to be given on Workflows by Mentors

Week 6

  • Review of the Pipeline Workflows

  • Doubt clarification on the Pipeline

  • Session on how a pipeline can be used in real-time project scenarios.

  • DS Lab Session by a Data Scientist

Week 7

  • DS lab session

  • The task to be given on DS Lab

  • DS lab integration with Pipeline

  • Model as API

  • Model as API to consume in Dashboards

Week 8

  • Ingestion Pipelines

  • Real-time pipelines

  • Pipelines with DS Lab Model & Script runner and Data preparation component

  • Explanation on how to write custom python components in Pipeline.

  • Do’s & Don’t of each module in Platform.

  • Solution Design on Platform.

Week 9

  • Overall session by Solution Arch

  • Error Handling on the BDB Data Platform

  • Monitoring methods in Platform

  • The task to be given from ingestion to visualization on the BDB Platform (Project Starting Point)

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Last updated 2 years ago