Fabricator: Unified Workbench for Microsoft Fabric

Tech Mahindra Limited

TechM Fabricator, designed to simplify the journey from data collection to consumption through an intuitive orchestration pipeline and metadata driven automation.

TechM Fabricator empowers businesses with a cutting-edge framework that seamlessly integrates TechM IPs and Microsoft Fabric solutions, streamlining end-to-end pipelines and enabling efficient data collection, processing, and visualization through an intuitive user-friendly workflow. This comprehensive system boosts productivity, enhances performance, and drives business growth.

Industry Challenges:

  • Delay in analytical solution & Data duplication
  • Manual orchestration & Business process silo
  • Multiple integration touch point
  • Fixed & Individual infrastructures for overall solution.
  • Lack of self-serving capability

Our Solution:

  • TechM Fabricator is a combination of TechM IP's & Microsoft Fabric. It's a framework which helps to orchestrate end-to-end pipeline all the way from data collection to data consumption using simple workflow pipeline.
  • TechM Fabricator, designed to simplify the journey from data collection to consumption through an intuitive and simple workflow pipeline.

Pre-Assessment & Migration:

  • InfoWise: One shop catalog for application assets, audits, end to end data lineage, modernization recommendation service along with Report assets audits,
  • Sprinter: Metadata driven migration accelerator helps to migrated data assets like DDL, DML, Scripts, Data into cloud eco system

Unified Workbench

  • CDIF: A versatile Metadata-Driven Ingestion Framework for diverse cloud environments and dataset Integration
  • MDQOS: Modular Data Quality Orchestration Service. Enabling centralizes rules governance, consistent rules across platform and standardize rules delivery.
  • iDecisions: iDecisions bring Logical data model with Industry standard data model with standard compliance, KPIs, templates, mapping for quick jump starting for EDW implementation.
  • Rationalization & recommendation service
  • Data Mesh: Decentralizing data ownership, increasing agility and collaboration by publishing data products using standard methods for internal consumption.
  • VaaS: VaaS framework enable the enhanced insights, user experience, automation, decision-making and self-service capabilities with NLQ.
  • Nexus.AI: Collection of AI/ML, Gen AI, Automation Augmentation in Data Value Chain

Data Observability

  • VuData: VuData bring the ability of an organization to fully understand the health of the data in their system as well as system health. Also bring AI enabled, proactive monitoring and self-healing capabilities

Desired Outcome:

  • Easy to build & operate analytical services
  • Less data movement (Data not copied outside One Lake)
  • Process orchestration & automation using metadata
  • Self-serving capability across layer
  • Flexible infrastructure based on workload
  • Flexible infrastructure based on workload
  • Single touch point for Integration

The price listed is an indicative number. For finalizing the commercials, please contact us.

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