by Denys Skorobagatov

1. AI & BigData Lab
Next Generation of BI
Denis Skorobogatov, Product Owner
IT Weekend, 23 May 2015

2. Agenda
Traditional BI/DWH Architecture
Modern challenges for Business Analytics
Next Generation of Business Intelligence
Next Generation of BI

3. Traditional BI/DWH Architecture

4. Information Flow
BI Queries
& Updates
Real-Time
Operations
Operational
Data
Staging
Layer
Temporary &
Erroneous
Datasets
Data
Cleansing &
Preparation
Foundation
Layer
Historical
Data
Management
Consolidated
& Normalized
Data
Access &
Performance
Layer
Analytical
Data
Management
Dimensional
Data &
Cubes
Data Warehouse
Current,
Real-Time,
“Raw” Data
OLTP: ERP, CRM,
Billing systems
CSV: inter-connect files
Example

5. DWH Logical View
Data Warehouse
3NF Data Model
Operational
Systems
& Data Stores
Billing
*.CSV
pre-CRM
ETL
Analysis
Sandpits
ERP
BI Information Consumers
Data
Virtualization,
Services,
& Delivery
Data Marts
OLAP
CubesStars
Staging
Layer Foundation
Layer
Access & Performance Layer
Operational System Access
Information Updates
Temporary
Loading
Structures
!
Rejected
Data
CRM
Data Quality Management
Example

6. Intelligence
Delivery
Delivery Channels
Presentation Formats Dashboards Reports
Web Mobile Desktop Apps EMail Offline
User-Managed Analysis &
Simulation Data
BI Tools
Simulation &
Forecasting Tools
Ad Hoc
Analysis Tools
Reporting Tools
- OLAP Interaction
- Ad-Hoc Query & Analysis
- Report Publication
- Scenario Modeling
Current & Historical Analysis,
Intelligence Modeling
BI Catalog
Dashboards
Scorecards
Formulas
KPIs
Reports
Analysis
Presentation & Analysis Services
Web Analytics Server
Object Visualization
Hierarchy Navigation
Query Generation
Search
UI & Home Page
Personalization
Scheduling
Information
Provisioning
& Delivery
IT-Managed Analytics,
Historical, & Operational Data
Query
Federation
Engine
Information Services
Information Model
BI Logical View
Example
Intelligence
Analysis

7. AI & BigData Lab
Modern Challenges of
BI

8. By IDC Digital Universe study - “Big Data, Bigger Digital Shadows, and Biggest Growth in the Far
East”
Big Data
5,247 GB per
In 2020
<1% of Data
is Analyzed
50x growth
from the beginning of 2010

9. RDBMS
NoSQL Databases
OLAP
API based/Web Services
Hadoop (HDFS)
Live Sources
Files
Connectivity

10. No ETL

11. AI & BigData Lab
Next Generation of BI

12. Next Generation of BI

13. Zoomdata Architecture

14. # Key Points Short Description Challenge(s) Differentiators
Next Generation Data
Connectors
Hadoop, NoSQL, Search, Solr
Spark etc.
Connectivity 18 pre-built different types of
connectors
Fast Visualizations Sharpen billions of records in
seconds with stream processing
engine.
Big Data Data sharpening/micro
queries
Interactive D3/JS Viz Studio
Data Fusion Trifacta enables Zoomdata users
to more effectively transform raw
data in Hadoop for immediate
visualization and dashboarding
No ETL Integration with Trifacta
Historical & Real Time Time controls seamlessly
transition between time based
data
BigData
Connectivity
Live Sources
Seamless transition between
historical and real time data
Live Source support
Zoomdata - Primary Product Tenets

16. Thank You!
Denis Skorobogatov
denis@zoomdata.com
+380504144065
Contact me Visit us
www.zoomdata.com
Any
Questions?