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Data Vault Mastery: Modernizing Data Warehousing

سرفصل های دوره

Modernizing Data Warehousing with Data Vault 2.0 Methodology


1 - Introduction
  • 1 - Introduction
  • 2 - Course Outline and Key Learning Outcomes
  • 3 - Get the Matterials.html
  • 3 - SQL-Commands.zip
  • 3 - SSAS.zip
  • 3 - SSIS.zip
  • 3 - Slide-Master-Data-Vault-Mastery-Modernizing-Data-Warehousing-for-Advanced-Analytics.pdf

  • 2 - Data warehouse Introduction
  • 4 - Enterprise data warehouse environment
  • 5 - Introduction to Data Vault
  • 6 - Data warehouse architecture

  • 3 - Flexible scalable data warehouse architecture
  • 7 - Struggling of data warehouse with changes
  • 8 - Data vault 20 architecture
  • 9 - Business rules application
  • 10 - Staging area layer
  • 11 - Data warehouse layer
  • 12 - Information mart layer
  • 13 - Extension of data vault 20 architecture Metrics Vault
  • 14 - Business Vault
  • 15 - Operational Vault

  • 4 - The data vault 20 methodology
  • 16 - Project planning
  • 17 - Project planning Roles Duties
  • 18 - Project planning Communication
  • 19 - Project planning CMMI maturity model
  • 20 - Project planning SCRUM
  • 21 - Project planning Estimation of the project
  • 22 - Project execution
  • 23 - Project execution Implementation steps under agile Scrum methodology

  • 5 - The data vault modelling
  • 24 - The data vault modelling
  • 25 - Data vault 10 use case requirement database diagram table structure
  • 26 - Data vault 10 modelling
  • 27 - Data vault 10 hub link satellite ETL load
  • 28 - Data vault 20 definition
  • 29 - Data vault 20 application hub application
  • 30 - Link application Link on Link
  • 31 - Link application Same as Link
  • 32 - Link application Hierarchical Link
  • 33 - Link application Computed Aggregate Link
  • 34 - Link application Exploration Link
  • 35 - Satellite application Overloaded Satellites
  • 36 - Satellite application Multiactive Satellites
  • 37 - Satellite application Status tracking Satellites
  • 38 - Satellite application Effectively Satellites
  • 39 - Satellite application Computed Satellites
  • 40 - Advanced data vault modeling PointInTime tables
  • 41 - Advanced data vault modeling Bridge tables
  • 42 - Data vault 20 flexibility

  • 6 - The data vault implementation
  • 43 - Data vault 20 introduction use case implementation
  • 44 - Data vault 20 load patterns hub link satellite ETL load
  • 45 - Data vault 20 load patterns hash key parallel

  • 7 - Dimensional modeling
  • 46 - Dimensional modeling star schemas multidimension schemas dimension design

  • 8 - Master data management MDM
  • 47 - Master data management MDM architecture implementation steps

  • 9 - Meta data management
  • 48 - Meta data type
  • 49 - Metadata capturing Source system
  • 50 - Metadata capturing Staging
  • 51 - Metadata capturing Metadata for loading hub entities
  • 52 - Metadata capturing Metadata for loading link entities
  • 53 - Metadata capturing Metadata for loading satellite entities on hubs
  • 54 - Metadata capturing Metadata for loading satellite entities on links
  • 55 - Metadata capturing Metadata for loading data vault to Datamart

  • 10 - Multidimensional database MOLAP cube
  • 56 - Multidimensional database

  • 11 - Data warehouse platform
  • 57 - Data warehouse data lake platform updates IBM AWS data platform

  • 12 - Handson practices
  • 58 - SSIS load source to Datavault to Datamart to OLAP cube

  • 13 - Summary session
  • 59 - Data Vault Mastery Modernizing Data Warehousing for Advanced Analytics
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