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Implement a data warehouse in a modern
way with a tailored DWH Training program

Objectives

This course provides a comprehensive introduction to the design and construction of data warehouses. Learners will be equipped with the knowledge, practical skills, and confidence to apply modern data warehouse principles in a professional setting. Through hands-on activities, you'll have the opportunity to build a complete data warehouse from the ground up.

Course Outcome

Design Data Modelling, Schema and Archiving life cycle
Plan EDW with data collection, ETL and ELT pipeline architectures
Formulate Data Transformation procedures

Why Mazenet?


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    Expert Faculty

    Our Faculty comprises of 300+ SMEs with many years of experience. All our trainers possess a minimum of 8+ years of experience.

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    Proven Track Record

    We have served over 200+ global corporate clients, consistently maintaining a 99% success rate in meeting training objectives for 300+ technologies with quick turnaround time.

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    Blended Learning

    We provide course content over any platform that our clients prefer. You can choose an exclusive platform or a combination of ILT, VILT, and DLP.

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    Learning Paths

    The learning paths are very defined with clear benchmarks. Quantitative assessments at regular intervals measure the success of the learning program.

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    Case Study

    We have amassed over 10,000 case studies to support training delivery. Candidates will be trained to work on any real-time business vertical immediately after the training.

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    24*7 Global Availability

    We are equipped to conduct training on any day, date or time. We have delivered training pan India, Singapore, North America, Hong Kong, Egypt and Australia.

Delivery Highlights

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    Customized Training Modules

    Training programs are highly flexible with module customizations to suit the requirements of the business units.

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    Certification

    The training can be supplemented with appropriate certifications that are recognized across the industry.

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    Multi-language Support

    Course content can be delivered in English, Spanish, Japanese, Korean or any other language upon request.

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    Personalized Training Reports

    Candidates are assessed individually at regular intervals and are provided unique learning suggestions to suit their learning calibre.

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    Industry-Oriented Training

    Industry-oriented training, completing which, candidates can be immediately deployed for billable projects.

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    Diverse Training Platforms

    Choose from Instructor-Led Training, Virtual Instructor-Led Training, Digital Learning Platform and Blended Training platforms

Course Preview

  • What is a Data warehouse (DWH)?
  • What is Data warehousing?
  • Why do we need the Datawarehouse?
  • Difference between OLTP And DWH
  • Dimension and Fact tables
  • Types of Dimensions and Facts

  • What is ODS?
  • Benefits of ODS?
  • ODS vs DWH

  • What is dimensional modelling?
  • Schemas in Dimensional Modelling
  • Star Shema
  • Snowflake Schema

  • Monitor Overview
  • Workflow Monitor Views
  • Running and Monitoring Workflows
  • Scheduling
  • Workflow and Session Logs
  • Monitor Configuration

  • Top Down
  • Bottom up
  • Worklets

  • What is Data Marts
  • Types of Data Marts
  • Data Mart vs DWH

ETL Fundamentals

  • Data Mart vs DWH
  • What is ETL?
  • ETL in Data Integration
  • ETL tools in Data Integration

  • ETL Architecture
  • ETL Standards
  • Data Extraction Process
  • Techniques of Data extraction process
  • Data Transformations
  • Types of Data Transformations
  • Data Loading
  • Techniques of Data Loading process

  • Introduction to Data Engineering
  • Introduction to Data Analytics
  • Introduction to Data Storage models
  • Introduction to Data As a Service model
  • Architecture and Life Cycle of Data Engineering
  • Architecture, Models and Life Cycle of Data Analytics
  • Architecture and models of Data Storage
  • Methodologies and Activities involved in Data Transformation