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1. Necto Training
Module 2:
BI Model Fundamentals

2. Objectives
 By the end of this lesson you will be able to describe:
 Modeling Structure
 Modeling Concept
 Modeling Objectives

3. Typical BI architectures and Model
concepts

4. Necto Model - Business purpose
Location
Product
Time
Atlanta
Denver
Detroit
Q4Q1 Q2 Q3
Grapes
Apples
Melons
Cherries
Pears

5. Model Database Components
 Measure
 Represents factual data related to
a specific business process
 Examples: sales, cost, profit
 Dimension
 Identifies and categorizes
measures
 Example: Location, Product, and
Time

6. Model Components
 Hierarchy:
 A logical structure that groups dimension
members for the purpose of aggregating
data
 Example: Product Categories>Sub
Categories>Products
 Level
 A position in the hierarchy
 Example: Category, Subcategory
 Members
 Distinct Values in a Level
 Example: PCs, Laptops, Monitors
 Attributes
 Descriptive information about the dimension
members
 Examples: Color, Size, Weight
Product
Subcategory
Category
All Products
LEVELS
Total Product
Hardware
PCs
Model1 Model 2
Laptops
Software
Server Client
Word Excel

7. Necto Modeling Concept
 The Necto Model is a platform to connect data from one
or more data sources, and apply analysis upon it
 Once a Model is Processed– authorized users can access
it from within Necto WorkBoards
 The Model is used for dynamic analysis, while achieving
high security level
 The Model Infrastructure is the SQL2012 Tabular platform,
a sophisticated In-Memory engine

8. Necto Modeling Objectives
 Fast and scalable move to action: from a business request
to data modeling and live analytics
 Giving administrators the ability to easily create
sophisticated in-memory BI solutions
 Giving Power Users and End Users the ability to easily
create small – scale BI solutions
 Building a simple Model is done with little help from the IT
department, mainly around guidance and training
 Fast browsing of aggregated and row-level data

9. Xvelocity – the Model Engine
 Necto uses the Tabular Xvelocity in memory engine, that
comes with SQL 2012.
 The engine has 3 main concepts:
 In-memory column store… typical 10x compression
 Brute force memory scans… high performance without
tuning…
 Basic paging … data volume mostly fits in physical memory

10. Necto Installation, Xvelocity Embedded
 Necto installation can include Xvelocity, with the BI Ed.
or Enterprise Ed.
 These editions supports the Xvelocity Engine
 It is a silent Installation.
 Necto can also use an existing Tabular Instance for
modeling

11. Necto 14 Architecture
SQL OLAP
APIs &
Web
Services
PowerPivot
SQL In
Memory
SQL
Reporting
Services
Necto Modeling
and In-Memory
Engine (xVelocity)
Social BI
Engaging platform allowing users
to work and share data for
collaborative decision making
Contextual Discovery
Intelligent BI recommendation engine
that automatically pushes relevant
insights and information
Advanced Analytics
Easy-to-use analytics for business
users and advanced analytical
capabilities for power users
Client
Applications
Necto Application
Server
Necto
Database
SQL SQL
PDW
Teradata Informix IBM
DB2
Access
Oracle
Sybase Excel Active
Directory
Necto
Intelligence
Layer
Necto Servers
Data Sources

12. Thank you
Any Questions?