BIG ATA MODELING - Buckeye DAMA · Big Data •Volume Huge Volumes of Data •Velocity Drinking...
Transcript of BIG ATA MODELING - Buckeye DAMA · Big Data •Volume Huge Volumes of Data •Velocity Drinking...
BIG DATA
MODELING
• Big Data1
• Data Modeling2
• Big Data Modeling3
AGENDA
Session Objectives
• Big Data Fundamentals– Components of Big Data– Structure & Schemas– Tools & Architecture
• Data Modeling – Integration & History– Data Warehousing & BI– Conceptual to Physical
• Big Data Modeling– Focus on Meaning
• Ensemble Modeling– The Blended Architecture
BIG DATA
Big Data
“Huge” Data Volumes
n-Structured & Very Complex
Streaming & Shape-Shifting
Typical Data
v v
v v
v v
v v
Typical Data Big Data
A
B
C
Big Data
• VolumeHuge Volumes of Data
• VelocityDrinking from a Fire Hose
• Varietyn-Structured Data
• VeracityQuality, Accuracy, Reliability, Trustworthiness
• ValueBusiness Value and Value Potential
Modeling and Understanding
• Schema on Write
• Schema on Read
• Dismantled Schema on Write
• Schema on Focus
• Schema on Leverage
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LOAD
MODEL APPLYEXPLORE
Modeling and Understanding
• Big Data
Possibilities
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LOADMODEL APPLY
EXPLORE
Inconvenient Truth about BIG DATA
http://community.embarcadero.com/blogs/entry/the-hidden-elephant-in-big-data-modeling
DATA MODELING
Data Modeling
Mans Search for Meaning…
• Conceptual Modeling
• Logical Modeling
• Information Modeling
• Physical Data Modeling
Three Paths for Modeling
Structured / Known
• CBC
• NBR
• Attribution
• Columns
Results in a backbone model with attributes in defined columns
N-Structured / NVP
• CBC
• NBR
• Attribution
Results in a backbone modes with known/expected attribute names/tags
N-Structured / KVP
• CBC
• NBR
Results in a backbone model with capacity to capture unknown attribution either named/tagged or not
CBC: Core Business ConceptsNBR: Natural Business Relationships
APPLYING THE ENSEMBLE
Integration
across
Platforms
Logical business model
• Leveraged for all logical
model needs including
the data warehouse, big
data lake, master data
management (MDM) and
operational integration
initiatives
• Closely aligned to DV
physical model
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Ensemble Logical Form ( )
Customer
Region Store
Sale
Vendor
Product
Sale LI
Employee
Customer
RegionStore
Sale
Vendor
Product
Sale LI
Employee
CustomerRegion
Store
Sale
Vendor
Product
Sale LI
Employee
Summary
Ensemble in the Big Data World
• Conceptual Modeling
• Logical Modeling
• Information Modeling
• Physical Data Modeling
• Integration Platform
+++-+ + +
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About Data Vault Ensemble
Estimated 1400 + Data Vault based Data Warehouses around the world
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Links and Information
CDVDM Training & Certification
www.GeneseeAcademy.com
gohansgo
Book DataVaultBook.blogspot.com
HansHultgren.WordPress.com
HansHultgren
Online video-lesson training
DataVaultAcademy.com
DataVaultAcademy