Data Engineering for Corporates without a Data Strategy

Exploring data engineering without a data strategy!


2 Days


Basic Level

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As per your team needs

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The program is focused on understanding basics of BI Architecture, Data warehousing, and ETL concepts.

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This program is designed for students who aspire for Data Engineers roles.

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  • What is a Data Driven Organization?
  • How can this be enabled in an Organization?
  • Factors to consider
  • Roles and Responsibilities of Key Stakeholders
  • Enterprise Architecture of a Data Driven Company
  • Minimal Tools/Technologies
  • Summary
  • Terms & Concepts
    • Facts
    • Dimensions
    • Data Sources
    • Data Warehouse
    • Data Marts
    • Cubes
    • Operational Data Stores (ODS)
    • Data Staging
    • Best Practices & Best Fit Considerations
  • ETL using DataFusion
  • What is ETL?
  • How is it different from ELT?
  • What are the key tools involved in extraction, loading and transformation?
  • Why is Data Preparation important?
  • How to prepare Data?
  • Who prepares it?
  • What is Data Governance?
  • Why is it important to the success of an organization?
  • Who is responsible for it?
  • What is Data Quality?
  • How to ensure DQ?
  • Key Tools available
  • Role of Metadata
  • Demo
  • DataFusion Hands-on
  • Summary
  • Online Transaction Processing Systems
  • Online Analytical Processing Systems
  • OLTP vs OLAP
  • Key Data Storage Options
  • Which one to choose when?
  • Approaches of Data Modeling
  • Logical Model, Physical Model
  • Entity-Relationship & Dimensional Modeling
  • Thinking like a Data Modeler
  • Types of Star vs Snowflake
  • Normalized vs Denormalized
  • Google Cloud Storage
  • NoSQL Databases
  • Data Formats
  • Which one to choose when?
  • Demo
  • Hands-on
  • Summary
  • What is Business Intelligence?
  • Importance of Data in BI Tools
  • Dashboard Reporting Concepts
  • Effective use of BI Tools
  • Connect to Data In DataStudio
  • Creating Datasets from Data Models and Data Files
  • Getting Started with DataStudio
  • Using Quick Insights to Explore a Dataset
  • Viewing Reports
  • Summary
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Participants should preferably have basic knowledge of any programming language constructs.


we'd love to have your feedback on your experience so far