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Courtney Claussen, SAP Sybase IQ Product ManagementOctober 19, 2012
TEC1227Complete Business Analytics with SAP Sybase IQ and SAP BusinessObjects Software
© 2012 SAP AG. All rights reserved. 2
Disclaimer
This presentation outlines our general product direction and should not be relied on in making a purchase decision. This presentation is not subject to your license agreement or any other agreement with SAP. SAP has no obligation to pursue any course of business outlined in this presentation or to develop or release any functionality mentioned in this presentation. This presentation and SAP's strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document is provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement. SAP assumes no responsibility for errors or omissions in this document, except if such damages were caused by SAP intentionally or grossly negligent.
© 2012 SAP AG. All rights reserved. 3
Agenda
SAP BusinessObjects and SAP Sybase IQ Better together
What is so cool about SAP Sybase IQ? Some of the key features
Proof points Customer stories and Monsta benchmark
SAP BusinessObjects integration with SAP Sybase IQ Now and going forward
SAP BusinessObjects Analytics Editions A great combination of database, BI and EIM
Summary Wrapping it up
SAP BusinessObjects and SAP Sybase IQ
© 2012 SAP AG. All rights reserved. 5
Operational reporting
Executives & Manager
Business Analysts
“normal” user =information consumers
Tactical users
Trends, graphics & dashboards
Flexible, analytical tools
Static, easy-to-use reports
Explorer / Web Intelligence
Explorer / Crystal Reports
ECC Reports
Make BI pervasive with SAP BusinessObjects
Xcelsius
© 2012 SAP AG. All rights reserved. 6
BI Platform
Dashboards
CrystalReports
WebIntelligence Analysis
Explorer
Trusted Data
SAP BusinessObjects BI 4.1
© 2012 SAP AG. All rights reserved. 7
BI Also Needs Solid Data Foundation
© 2012 SAP AG. All rights reserved. 8
SAP Sybase IQ delivers a solid foundation
. . .
BI Platform
Dashboards
CrystalReports
WebIntelligence Analysis
Explorer
Trusted Data
© 2012 SAP AG. All rights reserved. 9
Stands out as the leading enterprise data warehouse among the largest banks, insurance agencies, and telecom operators worldwide
Manage and analyze statistical measures for the entire nation of Canada
Analyze complex models in more than 200 financial institutions worldwide
Analyze ALL Federal tax returns in the US
Store and analyze massive amounts of industry segment data in 30 of the largest information providers in the world, including Transunion, Nielsen and Axiom
SAP Sybase IQ Big Data AnalyticsPervasive across data intensive industries worldwide
© 2012 SAP AG. All rights reserved. 10
SAP Sybase IQMature, industrial strength analytic DBMS
LEADERSHIP• Industry leading
performance & scale benchmarks
• Recognized EDW market leader by Gartner, Forrester
• Pioneering technology with 10+ patents
ADOPTION
• 4500+ installations in 2150+ accounts
• ~200 new customer wins per year (last 4 years)
• Consistently 96%+ customer satisfaction rates
MOMENTUM
• 2 x DW market growth rate (last 4 years)
• Fast paced product releases
• v15, v15.1 (2009), v15.2 (2010), v15.3, v15.4 (2011)
Ericsson • Sungard • Nielsen • BNP Paribas • Telefonica • hmv.com • comScore • Agricultural Bank of China
© 2012 SAP AG. All rights reserved. 11
SAP BusinessObjects and SAP Sybase IQ#1 BI platform and column-based analytics server
Profil
ing
Mat
chin
g
Clean
sing
ETL/CDC
Calcu
late
Model
s
Prese
ntatio
n
SBOP Data Services SBOP BI Tools SBOP Applications SAP Sybase IQ
Applicat
ions
• Column Store Analytics DBMS
• Governance, Risk, Compliance Analytics• Business Analytics Applications - Banking - Telco - Retail - Insurance - Hi-Tech - Public Sector
• SAP BusinessObjects BI Platform - SAP Crystal Reports - Web Intelligence - Dashboards -Explorer -Predictive Workbench
• Data Integrator (ETL)• Data Quality Mgmt• Data Replication• Text Analytics
What is so cool about SAP Sybase IQ?
© 2012 SAP AG. All rights reserved. 13
Key characteristics Data is stored vertically — each column is stored separately The data is the index Large page sizes (128 KB–512 KB) Persistent row identifiers Bitmap-driven
Column store processor
Key Benefits Unsurpassed concurrent, mixed workload performance, and storage efficiencies Ability of queries and updates to access only referenced columns and pages Single data type and domain per page for significant enhancement of the effectiveness of dictionary-based
compression Large page size for better use of today’s disk and I/O subsystems Ability of queries to evaluate multiple predicates on the same table using index-based access methods Bitmaps for significant efficiencies — compact representation, and perfect pre-fetch of rows to avoid cache misses
and Least Recently Used (LRU)
Sybase IQ
1 2 3 4 5 6 7 8 9 …
r1
r2
r3
r4
r5
© 2012 SAP AG. All rights reserved. 14
SAP Sybase IQ 15.4A complete platform for data analytics
Most mature column store
Comprehensive lifecycle tiering
MPP queries + Virtual Marts + User scaling
High Speed loads
Structured + Unstructured Store
Comprehensive ANSI SQL w/OLAP
Built-in Full Text Search
InDB Analytics w/ MapReduce + simulator
Web 2.0 APIsBig Data
OpnSrc APIs
Optimized BI,EIM, Model, Replicate
Dev and admin tools Predictive Analytics Packaged ILM apps
Bradmark, Symantec,
Whitesands, Quest, ZEND
SAS, SPSS, KXEN, Fuzzy Logix,
Zementis, Visual Numerics
BMMSoft, SOLIX, PBS
Sybase PowerDesigner,Sybase Replication Server,
SAP BusinessObjectsISYS, Panopticon
Eco-System
App. Services
DBMSHadoop,
R
© 2012 SAP AG. All rights reserved. 15
Mathematical• Matrix algebra• Area under curve• Interpolation methods• Distance measures
Statistical• Descriptive statistics• Distance measures• Hypothesis testing• Cross tabulation• Anova
Univariate Distributions• Monte Carlo simulation• Univariate distributions
Data Mining• Linear regression• Logistic regression• Principal component
analysis (PCA)• Cluster analysis• Naive Bayes
OLAP & Time Series• Correlation• LAG, LEAD• Weighted average
In-database analytics
© 2012 SAP AG. All rights reserved. 16
Total time, in seconds, to load the data from the database and perform the computations
In-database analytics performance
© 2012 SAP AG. All rights reserved. 17
Full text queries
Full text queries SELECT * FROM myTable WHERE CONTAINS (TextCol, ‘d’); – returns rows SELECT * FROM myTable CONTAINS (TextCol, ‘d’); – returns rows and scoring SELECT * FROM myTable WHERE CONTAINS (TextCol, ‘a AND NOT b’); – Boolean SELECT *FROM myTable WHERE CONTAINS (TextCol, ‘a NEAR b’); – proximity
Text IndexID Term Pos Info
0 a 1,3,4
1 b 1,5
2 c 1
3 d 2,3,4
4 e 2,4,5
5 f 2,5
TextCol
a b c
f e e d
d a d
d e a d
b e e f
…
…
Full Text Queries
Visualization
Text Load File ingestion into blob, clob
Text Filtering Filtering to plain text, formatting
Schema Transform
Hierarchical to relational
EntityExtraction
CategorizationTokenization
© 2012 SAP AG. All rights reserved. 18
Massively parallel processing• Leader node: Receives and initiates queries, including UDFs
– Any node can be a leader, one leader per query, many concurrent leaders possible– Leader node may satisfy query within itself
• Worker node: Nodes picking up work units from leader– Many worker nodes per query, same worker node can serve multiple queries– Worker nodes are enlisted only if leader cannot satisfy query on its own
SAP Sybase IQ shared everything MPP architectureDistributed query processing
Query 24 node DQP
Query 15 node DQP
SAN Fabric
© 2012 SAP AG. All rights reserved. 19
Support different user communities with virtual data marts
SAN Fabric
Full Mesh High Speed Interconnect
VDM1
VDM2
Shared
� Characteristics • VDM can isolate applications, workload, users,
data• DQP within VDM boundaries only• Dynamic/scheduled resource reassignment b/w
VDM
� Advantages• Effective user group assignment to
resources• Effective workload isolation and partitioning• Economical scalability
© 2012 SAP AG. All rights reserved. 20
Accelerate performance with distributed query processing (DQP)
61 sec
6 TB
296 sec 17 sec
SAP Sybase IQ 15.3 with PlexQ guarantees SLAs now and into the future
SAP Sybase IQ 15.3 with PlexQSAP Sybase IQ 15 before PlexQ
394 sec 1341 sec
12 sec
124 sec 51 sec
6.5x
4.5x
7.3x 4.3x
Watch CoreLogix LoanPerformancevideo on YouTube:
http://www.youtube.com/watch?v=L8ilR4vrIh0
© 2012 SAP AG. All rights reserved. 21
SAP Sybase IQ Hadoop Integration
Technology
ETL Hadoop data into IQ Fetch HDFS subsets into IQ store; Process entirely in IQ
Results and Applications
Client side federation Join pre-computed IQ and Hadoop results
SAP Sybase
IQ
SAP Sybase IQ
Federate Hadoop data into IQ
Fetch HDFS subsets by materializing inside IQ as in-memory virtual tables Triggered on the fly as part of query
SAP Sybase IQ
Federate Hadoop jobs into IQ
Trigger MapReduce job in both IQ and Hadoop and join the results on the fly
C++/JAVA UDF
Files
SAP Sybase IQ
C++/JAVA UDF
Quest
© 2012 SAP AG. All rights reserved. 22
Real world benefits of SAP Sybase IQ and SAP BusinessObjects#1 BI platform and column-based analytics server
• Up to 1000 times faster than traditional relational databases• Critical for ad hoc analyses of large datasets• Scales to a large number of concurrent users• Can handle the most complex of queries and thousands of users
High Performance
• Compresses data to save on maintenance and storage costs• Minimizes the need for aggregates, indexes and cubes• No need to tune and optimize each query• Rapid time to value
Lowest TCO
• Industry leader for column-based databases• 4500+ installations in 2150+ accounts• Technology leader with 10+ patents• Leader in Gartner Magic Quadrant and Forrester Wave
Industry Leader
• Mature product line at 15 years in the market place• 96% customer satisfaction rate• 2x DW market growth rate (last 4 years)• Fast paced product releases with innovative features
Proven Technology
Proof points
© 2012 SAP AG. All rights reserved. 24
Dramatically improving BI together
BNP was experiencing substantial growth in the use of their Web-based BOBJ reporting application and chose SAP Sybase IQ to accelerate online transactions.RESULT: online customers generated twice as many reports 3x faster, freeing up OLTP resources.
Spice Telecom was able to populate a data warehouse with raw mobile and landline call data, analyzing data sets not previously possible, opening access to all departments.RESULT: achieved a 10x performance improvement with SAP Sybase IQ.
REPORTING (3x)
Oracle Sybase IQ Oracle Sybase IQ
DISK SAVINGS (50%)TransUnion was able to process more than half a billion records each month with different data formats from different sources. RESULT: achieved enhanced data management, higher query speeds, lower costs, and a future-proofed system with SAP Sybase IQ.
DB2 Sybase IQ
ANALYTICS (6x)
Wellmark chose SAP Sybase IQ as its analytics server to decrease reporting times and claims processing, as well as centralizing data silos at the enterprise level.RESULT: reduced software costs by 200-300% and dramatically reduced people and hardware costs.
Hardware DBAs Software Storage
DB2 Sybase IQ
SOFTWARE SAVINGS(300%)
© 2012 SAP AG. All rights reserved. 25
Monsta benchmark
SAP Co-Innovation Lab project:
Validate performance and scalability of a large BI deployment deployment capable of sustaining 10,000 concurrent users! Software
– SAP BusinessObjects BI 4 as the BI platform and SAP Sybase IQ 15.4 as the reporting database– Application delivery control system from F5– Continuous energy monitoring and management from OsiSoft
Commodity hardware (super micro Twinblades and SuperServers) running on RedHat RHEL 6 Simulated user traffic with Soasta CloudTest. Data:
– TPCH Scale Factor 30 (34 GB data)– 4.5 million customers– 300K vendors– 45 million orders and 180 million line items
Reports:– 2500, 5000, 10,000 and 25,000 line reports
© 2012 SAP AG. All rights reserved. 26
Hardware available to the project team
Hardware (turned out to be much more than needed!) 80 hosts - 40 Supermicro Twinblades each with 24 core Intel
Westmere processor and 96GB RAM - total of 960 core and 3840GB RAM
– 12 hosts allocated to SOASTACloud Test Maestro to manage all load generation, load monitoring and reporting
– 21 hosts are allocated for SAP Sybase IQ as the reporting DB– The balance of blades allocated to BI4
One Supermicro 2U Super Server with Westmere 40 core and16GB RAM
– Dedicated to Sybase ASE as CMS DB
© 2012 SAP AG. All rights reserved. 27
Monsta benchmark results
Report refresh time was consistently 6-7 seconds on average under load (3 seconds when the environment was completely idle) and within 19 seconds for 90% of all requests
At a load of 10,000 concurrent users, the physical footprint was contained to:– just 10 host machines for the entire BI 4
environment (excluding the File Repository Servers, which in a normal scenario would run on a CMS host)
– 10 SAP Sybase IQ servers for the reporting database
– 1 SAP Sybase ASE instance.
SAP BusinessObjects integration with SAP Sybase IQ
© 2012 SAP AG. All rights reserved. 29
BusinessObjects UniverseA common semantic layer
© 2012 SAP AG. All rights reserved. 30
SELECT RESORT_COUNTRY.COUNTRY, RESORT.RESORT, SUM( INVOICE_LINE.DAYS * INVOICE_LINE.NB_GUESTS * SERVICE.PRICE )
FROM INVOICE_LINE INNER JOIN SERVICE ON ( INVOICE_LINE.SERVICE_ID=SERVICE.SERVICE_I D) INNER JOIN SERVICE_LINE ON ( SERVICE.SL_ID=SERVICE_LINE.SL_ID ) INNER JOIN RESORT ON ( SERVICE_LINE.RESORT_ID=RESORT.RESORT_I D) INNER JOIN COUNTRY RESORT_COUNTRY ON ( RESORT.COUNTRY_ID=RESORT_COUNTRY.COUNTRY_ID ) GROUP BY RESORT_COUNTRY.COUNTRY, RESORT.RESORT
BO universe
Pre-requirements for ad-hoc reporting with relational dataSimple query creation without SQL or database expertise
© 2012 SAP AG. All rights reserved. 31
SELECT RESORT_COUNTRY.COUNTRY, RESORT.RESORT, SUM(INVOICE_LINE.DAYS * INVOICE_LINE.NB_GUESTS *
SERVICE.PRICE)
FROM INVOICE_LINE INNER JOIN SERVICE ON
(INVOICE_LINE.SERVICE_ID=SERVICE.SERVICE_ID) INNER JOIN SERVICE_LINE ON
(SERVICE.SL_ID=SERVICE_LINE.SL_ID) INNER JOIN RESORT ON
(SERVICE_LINE.RESORT_ID=RESORT.RESORT_ID) INNER JOIN COUNTRY RESORT_COUNTRY ON
(RESORT.COUNTRY_ID=RESORT_COUNTRY.COUNTRY_ID)
GROUP BY RESORT_COUNTRY.COUNTRY, RESORT.RESORT
BO universe
Pre-Requirements for ad-hoc reporting with relational dataSimple query creation without SQL or database expertise
© 2012 SAP AG. All rights reserved. 32
Best-in-class Optimized & Differentiated Business Analytics Software Platform
From Certification and Support:
Towards a unified out of the box Business
Analytics StackSAP BusinessObjects
Data Services
SAP Sybase IQ
Analytics DBMS
SAP BusinessObjects
Business Intelligence
SAP BusinessObjects
Analytical Applications
Best-in-class Certified & SupportedBusiness Analytics Software Stack
Certified
and
sup
po
rted acro
ss stack
SAP BusinessObjects
Data Services
SAP Sybase IQ Analytics Server
SAP BusinessObjects
Business Intelligence
SAP BusinessObjects
Analytical ApplicationsOp
timizatio
n an
d D
ifferentiatio
n
across stack
Single Sign-On Access Control
Unified global support
Today Tomorrow
• Integrated technologies for lower administration and system costs• Cutting Edge Text Analytics
BENEFITS• Rapid deployment of new analytics applications • Leading Performance for Ad Hoc Analysis• Handles huge numbers of users
Disclaimer: The forward looking statements above represent our current judgment on what the future holds, they are subject to risks and uncertainties that could cause actual results to differ materially. This is not an announcement of product availability.
SAP Sybase IQ & SAP BusinessObjectsBusiness Analytics Vision
SAP BusinessObjects Analytics Editions
© 2012 SAP AG. All rights reserved. 34
Today's world: end-to-end best-of-breed stack from SAP
Analys
is
Mod
eling
Calcula
te
Mod
els
Prese
ntat
ion
Discov
ery
Answers
IQ
AnalyticDBMS
SAP Data Integrator SAP BusinessObjects BISAP Sybase IQData Sources e.g. Oracle 11g, IBM DB2,
Microsoft SQL Server ….
Heter
ogen
eous
Data
Operational DataTr
ansfo
rmLo
adCDC
Extrac
t
© 2012 SAP AG. All rights reserved. 35
Now in one complete package from SAP
Analys
is
Mod
eling
Tran
sform
Load
CDC
Calcula
te
Mod
els
Prese
ntat
ion
Discov
ery
Answers
IQ
Heter
ogen
eous
Data
Operational Data
SAP BusinessObjects BI, analytics edition
Extrac
t
AnalyticDBMS
Data Sources e.g. Oracle 11g, IBM DB2,
Microsoft SQL Server ….
Summary
© 2012 SAP AG. All rights reserved. 37
SAP Sybase IQ & SAP BusinessObjects Complete Business Analytics Portfolio
Answers
SAP BusinessObjects EIM SAP Business Objects BI
IQ
SAP Sybase IQ
Data Warehousing
Data preparation Data Usage
Data Modeling / Database Design Tool
Event Processing
Fast ROI, Solution Deployment
An Integrated Best of Breed StackEach functional area – EIM, DBMS, BI recognized as market leader - analyst ratings and customer adoption
Acquire - one vendor solution and supportDevelop - build apps on total system optimized stackDeploy – pre-certified, market proven BI stack / appsSustain - coordinated support, long term commitment
Value Proposition
© 2012 SAP AG. All rights reserved. 38
Further Information
SAP Public Web
Download SAP Sybase IQ Express Edition (Free):http://www.sybase.com/iqexpressedition
Watch SAP TechEd Onlinewww.sapteched.com/online
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