2. What’s New with Oracle Exalytics In-Memory Machine?
Vasu Murthy
Senior Director, Product Management
Praveen Deshpande
Principal Product Manager

3. The following is intended to outline our general product direction
The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.

4. First Full Year for Exalytics
Rapid Adoption
Worldwide Adoption
Across Industries

5. First Full Year for Exalytics
Typically 2 or more
Clustered
Great attach to Exadata
BI, BI Apps, EPM, Endeca
Repeat purchases

6. Companies Around the Globe Choose Exalytics

7. In-Memory Platform for
Oracle Exalytics
Hardware and Software Engineered Together
In-Memory Platform for
Reporting & Analysis
Modeling & Planning
Unstructured Analytics
Planning, ERP, CRM, Profitability, Vertical-specific
80+ Pre-packaged
In-memory Analytic Applications
BI Foundation Suite
Exalytics In-Memory Software
Endeca TimesTen Essbase
Unstructured ROLAP MOLAP
In-Memory Analytic Engines
Exalytics Hardware for In-Memory Analytics
Oracle’s strategic platform for Analytic applications

8. Oracle In-Memory Analytics1
Speed Of Thought Analytics 2
Better Planning 3
Lower Cost, More Users
Engineered In-Memory Machine

9. Speed of Thought Analysis
Available with Exalytics
Responsiveness independent of analytic complexity
Intelligently cache ‘hot’ data into In-Memory Database
Depth of analytic capability in memory – relational, multidimensional
Rich and Intuitive Visualizations
Data dense, intuitive visualizations
All reports available on mobile
Relevant data – Structured and Unstructured
Authoritative single source of truth from logical model
Full analytic capability on unstructured data

10. Better Planning With Exalytics
Available with Exalytics
Sales/Product Managers
Cost Center Managers
LOB Execs.
Finance
Expand Planning Across Enterprise
Get LOBs involved in Planning – get the wisdom beyond Finance
Scale across the enterprise unhindered by capacity
Compress Planning Cycles and Plan Smarter
Faster cycles – more iterations
More granular details
Deliver Business Visibility to All LOB Executives
Provide immediate forecast visibility to LOB Executives
Enable LOB Planning for departments, for example, SKU forecasting
ACTUALS
BUDGET

11. Exalytics Delivers Lower Cost of Ownership
COMPLEX
SIMPLE
Multiple Platforms & Many Servers
High Cost of Administration
One Platform & One Server
Lower Cost of Administration

12. Exalytics Management with Enterprise Manager
Hardware and Software Lifecycle Management
Performance Monitoring & Diagnostics
Hardware & Software Lifecycle Management
Service Level Management
Production
Test
Development
Essbase
OBIEE

13. Enterprise Manager Support

14. Lower TCO With Exalytics
Customer Quotes
“In moving to Exalytics, we saved on annual license maintenance and were able to support 40 percent more users for the same price as our old architecture.”
“I would have to spend about twice as much upfront to get the same performance in a traditional environment.”
“Before we spent a lot of time trying to tune the dashboard and the database itself. Now we have just one DBA focused on tuning.”
“With Exalytics, every quarter someone comes in and patches it up to the latest and greatest. Oracle manages it, and all the maintenance is taken care of by Oracle.”
From Examining the value of Oracle Exalytics, Nucleus Research, May, 2013

15. Exadata, Exalytics, and Big Data Appliance
In-Memory Analytics
InfiniBand Fabric
Exadata
OLTP
Data Warehousing
Big Data Appliance
High Performance
Hadoop Engine

16. Exalytics For Real Time Reporting Albert Dudley BI Manager SAVVIS

17. SAVVIS Exalytics, GoldenGate & Times Ten Use Case
Oracle Open World September 2013

18. Al Dudley - Manager BI Systems Analysts
8.5 years with Savvis
Manage a team of ~10 BI Systems Analysts, and BI Contractors/Consultants
Guest Speaker at Oracle Technology Days 2011 in St. Louis and Kansas City – focus on why Savvis selected OBIEE 11g and implementation strategy
Savvis, A CenturyLink Company
575 Maryville Centre Drive, Ste. 400 St. Louis, MO

19. Savvis Overview A CenturyLink Company
Provides comprehensive managed IT infrastructure solutions that solve complex client needs such as Cloud and Managed Hosting
More than $1B Pro forma revenue
More than 50 Global Data Centers
2 Million square feet of raised floor space
Infrastructure extends to 42 countries
~3000 Savvis Employees ~ 40,000 CenturyLink Employees

20. “Dedicated Support”

21. Savvis Selects OBIEE 11g in 2010
Project Initiation
Holistic Business Intelligence review conducted with partner Sense Corp & 60+ Savvis business Leaders across the org
Legacy enterprise reporting platform included Hyperion Interactive Reporting, SAP BW, custom SQL ETL
Project Goals
Establish self service reporting
Reorganize, reposition and market the BI Team
Reduce/eliminate shadow reporting

22. SAVVIS Enterprise Reporting Pre-OBIEE 11g

23. SAVVIS Enterprise Reporting – Goal OBIEE Rebranded “SAGE” (Savvis Analytical Global Environment)

24. Remedy Project 2013 Dedicated Support
Replace Legacy ITSM system (Vantive) with Remedy
Eliminate Vantive Replication (refreshed hourly) into “Behemoth” .
Behemoth used by 400+ business users as source for data marts in MS Excel, SQL, and MS Access
No oversight of metrics created, wild west
Metrics do not reconcile across Savvis
Dedicated Support
Need near real-time operational reporting to support our customers
Reporting from Remedy not as robust as desired
Remedy licensing cost prohibitive

25. Remedy Project – BI Landscape Impact

26. Why Exalytics? – Remedy Use Case
Need near real-time reporting to support our customers
Exalytics, GoldenGate, Times Ten are engineered for this
Reporting from Remedy not as robust as desired
Business users are happy with OBIEE reporting visualizations
Remedy licensing cost prohibitive
OBIEE Enterprise licensed
Why not?

27. Implementation Plan Savvis solution:
Implement two Exalytics environments
Migrate existing OBIEE QA and Production Environments onto Exalytics
Replicate Remedy tables to Times Ten DB using GoldenGate
Model necessary Remedy tables (10) into the RPD
Reproduce existing user built near real-time Dashboard in OBIEE
Deploy OBIEE for both Analytical and Operation Reporting
Team with Oracle for Exalytics Implementation
Team with Rittman Mead for Golden Gate, Times Ten, RPD modeling, and Reporting

28. Implementation Challenges
Remedy tables are not DBA friendly, Table Name “T2071”, Column “C01”
Solution: GoldenGate parameter file mapping
No traditional ETL, data pump from source into Times Ten DB
Solution: Creative RPD modeling, Ex: date time dimension
GoldenGate Client version different for SQL Server and Times Ten
Solution: Format release of target environment in GoldenGate parameter file
RPD -Times Ten ODBC 3.5 import tables issue
Solution: use ODBC 3.5 connection pool to import then switch back to Times Ten ODBC 3.5

29. Implementation Benefits
Faster Replication
Legacy replication scheduled hourly, GoldenGate is ~2 seconds
Move 400+ users from SQL, MS Access and MS Excel into OBIEE
Eliminate Legacy System Replication for reporting purposes
IT Supported Reporting platform
Improved security, decrease in shadow IT reporting
Ability to track usage to help determine future BI projects
Single Source of Truth – Improved metrics

30. Savvis SAGE (OBIEE 11g) Metrics
Accepted as the Enterprise Reporting Solution
42 Subject areas spanning Sales, Quote, Operations, Delivery Metrics, Order, Billing, Time Tracking, Product, HR, Application Support and Marketing
Over 1250 users
~200 Business users as content Authors
36 Dashboards
~400 shared stand-alone reports

31. Exalytics What’s New?

32. In-Memory Analytic Needs
Software and Hardware
Software Hardware
The Need
In-Memory
Analytical Cache
Large Memory
Uniform Access
Fast Query Response
Fast Index Re-computation
Fast Guided Navigation
High Concurrent Processing
More Cores
More Memory Bandwidth
Fast Plan Re-computation
Fast Forecasting (Updates)
Parallel Calculations with Persistent Writes
High
Speed Storage
Fast Data Movement
Fast View Refresh
Parallel Loads
Parallel Queries
High
Speed Networking
Scalability
Concurrency
More
Compute Threads
User & Data Scalability

33. Exalytics Hardware Direction
High Memory Density
Large Onboard Flash
High Speed Networking
X2-4
1TB Memory
X3-4
2 TB Memory
2TB Flash
Previous model
Available now

34. EXALYTICS IN-MEMORY MACHINE T5-8

35. Oracle Exalytics Optimum Configurations for In-Memory Analytics
Exalytics X3-4
Exalytics T5-8
Large Memory & Processing
2TB RAM, 40 cores
4TB RAM, 128 cores
High Speed Storage: PCI Flash
2.4TB
3.2TB
High Seed Networking: InfiniBand
External Storage: FibreChannel
Exalytics In-Memory Software
Large Scale Deployment

36. Exalytics T5-8: Pre-tested Configurations
Domain 1 F
8P/128C
4TRAM
7.2TB HDD
3.2TB Flash
Pre-tested VM configurations setup by Oracle Advanced Customer Support.
Hardware dedicated for each VM for best performance
E2-1
Default
Domain 1
Domain 2
4P/64C
2TB RAM
3.6TB HDD
1.6TB Flash F F
4P/64C
2TB RAM
3.6TB HDD
1.6TB Flash
E2-2
Domain 1
Domain 2
5P/80C
2.5TB RAM
3.6TB HDD
2TB Flash
3P/48C
1.5TB RAM
3.6TB HDD
1.2TB Flash F F
E2-3
Domain 1
Domain 2 F
5P/80C
2.5TB RAM
3.6TB HDD
2.4TB Flash F
3P/48C
1.5 TB RAM
3.6TB HDD
0.8TB Flash
E2-4
Domain 1
Domain 2 F
6P/96C
3TB RAM
3.6TB HDD
2.4TB Flash F
2P/32C
1TB RAM
3.6B HDD
0.8TB Flash

37. Exalytics What’s Planned

38. Exalytics Software Roadmap
Key Themes
Speed of Thought Analysis
Better EPM & Planning
On-Premise, + Cloud In-Memory Analytics
Lower Cost

39. Exalytics BI Consolidation
Lower TCO with Easy Multi-app
Provide simple interface for deploying and managing multiple BI Domains on Exalytics with higher density.

40. Exalytics BI Consolidation
Make Lower TCO with Easy Multi-app Easy
Console
Run multiple analytics applications on Exalytics without virtualization
Single or multiple versions
Separate RPDs
Separate or unified life cycle
Higher density with data/content security
Simple script/UI for
Create/delete/start/stop domain
Add, configure TimesTen into the domain
Patch together or separately
Exalytics
Exalytics
BI App 1
BI App 5
BI App 2
BI App 4
BI App 3
BI App 3

41. Adaptive In-Memory Cache Enhancements
Automated Data Loading and Incremental Refresh
Enable real-time, automated, incremental data loading into In-Memory Database using native GoldenGate integration

42. Automated In-Memory Data Loading, Refresh
Next Generation Adaptive In-Memory Cache
Easy wizard based interface for cache definitions
More options for data load
Real-Time data refresh using native GoldenGate integration
Incremental batch loading with built-in batch loader
Data optimizations for efficiency and performance
Data type optimizations
Compression heuristics based on data
Selective columns
Load sequencing, parallelization
TimesTen indexing
In-Memory Database
GoldenGate Loader
Native Batch Loader
OBIEE Server
TimesTen Loader

43. In-Memory Caching for Hadoop-based Data Marts
Speed of thought analytics on Big Data
Terabytes of RAM
In-Memory Database
Heuristic In-Memory Cache
Extend In-Memory Caching to Hadoop
Leverage OBIEE Hive Access
Custom map/reduce via function extension framework
Extend semantic layer to Hadoop
Cache results in In-Memory DB
Enable interactive reporting

44. TimesTen In-Memory Columnar for Exalytics
Adaptive In-Memory ROLAP Data Management
Out of the box acceleration for analytics
Process Billion-rows per second
Ideal for Aggregates and Data Marts
Store more data in Exalytics
No Indexes required
Lower administration cost
Offload analytics processing
Data and Operational isolations from production data warehouse
Row-based
Columnar

45. Exalytics for EPM: What’s Next
Today
Planning available on Exalytics
HPCM on Exalytics
FDMEE on Exalytics
Looking ahead…
Increased user scalability
Calculation performance gains
Application/Server consolidation
HFM on Exalytics

46. Better Planning with In-Memory Analytics
Essbase in-memory optimizations
Faster calculations
Smarter algorithms
More detail
Better forecast
Planning
Finance
Unified Financial Planning and Reporting
Single cube for Planning and Reporting
Instant visibility of plans to LOB and management
Harness wisdom beyond finance
Adaptive calculation parallization
Automatic workload partitioning between threads on sparse data
Complements parallel loading
Instant reporting access to LOB users
Provide direct input into Planning
Reporting
LOBs, Mgmt

47. Planning Domain Expanding across the Enterprise
Continued optimization of Planning on Exalytics
Introducing pre-packaged analytics for Planning domain - OFPA
Enhancing and expanding functional reach of modules
Launch PBCS and enable rapid implementations
By supporting Mobile use cases
Optimized Browser support for end user planners on Tablet devices
ADF Mobile application for EPM approvals

48. Close Domain Confident Close HFM shift toward Oracle technology stack
Removal of Microsoft dependencies
Dramatically improved performance
Reduced install/deployment complexity
Cross platform support, Ability to leverage Exalytics
Continued functional expansion on close process manual activities
New modules for Journals Management, Balance Variance Analysis, Detailed Schedules

49. Enabling Virtual Financial Close
Multi-National Customer Example
accounts, legal entities, 66 currencies
Number of Users
100s
Processing Time
7+ hrs
Number of Users
1000s
Processing Time
< 30 min (multi day)

50. OBIEE Private Data Augmentation
“Empower business users and communities to create and collaborate on BI dashboards augmented with personal data and metrics”
Target Data
Targeted use cases: regional/departmental data variations, in-line planning, etc.

52. OBIEE Private Data Augmentation
Enabled by In-Memory Analytics
Sales a
Detail
Month, City Product Type
Week, Store, SKU
Month, State, Brand
Expense
Week, Store
Inventory
Shipments
f(x)
Personalized Navigation Spaces
Metadata variations
Personal data, lineage
Calculations
Dynamic query
Automatic data indexing
On-the-fly calculations
Automatic data refresh
Enterprise Scale possible only with In-Memory Analytics
Sales a
Detail
Month, City Product Type
Week, Store, SKU
Month, State, Brand
Expense
Week, Store
Inventory
Shipments
f(x)
Sales a
Detail
Month, City Product Type
Week, Store, SKU
Month, State, Brand
Expense
Week, Store
Inventory
Shipments
f(x)

53. Oracle BI Ask Automated Analytics and Visualization
“Oracle BI Ask allows you to get immediate answers to your pressing business questions simply by using your voice or text on any device.”
Ask

54. Enabling Technologies
Intersection of 4 key technologies
Ask
Enterprise Data Model
Voice & Mobile
Search
In-Memory Speeds
Enterprise Data Model (OBIEE)
Provides Business Semantics
Unmatched Query Generation
Security at Enterprise Scale
In-Memory Speeds: Exalytics
In-Memory Indexing of metadata and data
Instant determination of appropriate visualization
Speed of thought results
Voice & Mobile
Natural interface for Mobile devices
Search
Familiar and convenient user metaphor
Ranking & Suggestions
Personalized, Adaptive

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