IBM DB2 Analytics Accelerator: a DB2 Query Performance Revolution powered by Netezza

IBM DB2 Analytics Accelerator - GSE Management Summit

IBM DB2 Analytics Accelerator
“a DB2 Query Performance Revolution….”

Ciro Puglisi
IBM Netezza Europe
+41 58 333 4157
cpug@ch.ibm.com

SAFE HARBOR
Certain information contained in this presentation is forward-looking in nature. Any expectations based on these forward-looking statements are subject to risks and uncertainties and other
important factors. These and many other factors could cause delivery of products, features or enhancements to differ materially from expectations based on these forward-looking
statements. IBM does not undertake an obligation to update its forward-looking statements to reflect future events or circumstances.


IBM Netezza
The true data warehousing appliance

 Purpose-built analytics engine
 Integrated database, server and storage
 Standard interfaces
 Low total cost of ownership

 Speed: 10-100x faster than traditional system
 Simplicity: Minimal administration and tuning
 Scalability: Peta-scale user data capacity
 Smart: High-performance advanced analytics


Sample of Netezza Reference Customers
Digital Media

Financial
Services

Government

Health & Life
Sciences

Retail /
Consumer
Products

Telecom

Other
Page 3


The best of both worlds: System z and Netezza

 Transparent integration of Netezza and DB2 z/OS
 DB2 z/OS highly secure and reliable environment
for sensitive data analysis with the
price/performance of Netezza
 Best performance for transactional and
for analytical workloads, without tuning

Mainframe class Price/Performance Integrated Proven

NETEZZA SWISS RE
DB2 z/OS SECURITY NO APPLICATION
PRICE/PERFORMANCE SUCCESS STORY
and AVAILABILITY CHANGES
LEADERSHIP (YouTube VIDEO)

• Highly secure and • Offload complex • Netezza as extension of • Up to 50x performance
reliable environment for queries from DB2 to DB2 for z/OS gain for complex
sensitive data analysis Netezza, transparently analytics
• Transparent integration
• Limit data movement off • Faster and predictable without any application • Fast time to value without
the mainframe response times change application changes


The best of both worlds: System z and Netezza
Unmatched BI capabilities for System z
Operational Analytics, Reports, OLAP, …
 Transparent integration with DB2. No
changes in application logic or SQL Continuous
Continuous
Query
Query
 Self-managed workloads: queries are Processing
Processing
executed in the most efficient location
 Improving price/performance for DB2 z/OS Query Optimizer
analytic workloads

Application
 Faster and more predictable DB2 native
DB2 native Accelerator
Accelerator
response time Changes processing
processing processing
processing

 Highly secure and reliable
environment for sensitive
Replication

data analysis
 Enables true Operational BI for DB2 for z/OS database
our Clients

in the last 12 months  Optimization of existing DWH workload
>15 new European clients  New insight
with 3 use cases  Consolidation


Use case 1: optimization of existing workload
Accelerator for existing BI workload on System z
Benefits
Historical
Data DB2 • Consolidate reporting where
Production Low Latency Data Analytics the majority of data being
Data Accelerator analyzed resides (z/OS)
• Accelerate long running DB2
for z/OS queries from minutes
to seconds for greater
Transactional business value
Operational
Information Analytics • Reduce processing cost by
freeing up MIPS and storage
space for indexing
• Address performance
challenges with complex and
ad hoc queries
• Avoid costs and efforts to tune
the system
• The forgotten query: consider
queries previously set aside
Operational due to performance
Applications challenges?

Benefits quantified by the workload assessment


Success story: Swiss Re

http://www.youtube.com/watch?v=xkcp_pJxT5E

"The IBM DB2 Analytics Accelerator delivers the speed to create
the insights we need to work smarter. Putting the right answers
into the hands of decision makers across our business enables
us to quickly adapt and grow.“

– Reto Estermann, Director, Information Technology, SwissRe


Workload Assessment
Assessment of client dynamic SQL workload. Estimates based on extensive field experience with
DB2 Accelerator and the predictable performance of MPP systems (Netezza)

Elapsed time eligible for
CPU seconds eligible for
acceleration
offload

Eligible queries

statistics


Use case 2: new BI with minimal incremental cost
Accelerator for new reporting or Operational BI on System z

Benefits
Gain a complete and Keep new reporting capabilities onto a
timely understanding of single, easily managed platform • Business benefits of analytics
all customer and supplier for queries previously set aside
interactions by deploying
• Price/performance of Netezza
operational BI on top of DB2 with mainframe class reliability
your mainframe Analytics and security for BI applications
enterprise information Accelerator
management • Fast time to value with
transparent integration into
infrastructure
existing applications
• Time and cost avoidance in
external systems, processes to
NEW
offload data and integration
efforts
• Integrated OLTP & BI
approach to achieve true
Operational BI
Reporting
applications


Recent results: SAS and Business Objects
 Financial Services mainframe user based in Denmark
 Queries running on accelerator one day after physical installation
 Achieved compression for data on top of DB2 for z/OS compression
 Successfully tested existing SAS queries

SAS Query on DB2 (secs) SAS Query on DB/Accel (secs) Speed-up Factor
3’618 172 21
2’056 16 129
1’713 15 114
1’627 18 90
1’602 18 89
1’330 18 74
1’240 31 40

 Client acquired one DB2 Analytics Accelerator with 3 blades in June after a successful Proof
of Concept. Solution extended in September with an additional 12 blades accelerator for
consolidating additional workload.


Use case 3: Consolidation scenario
Accelerator to enable Data Analytics consolidation
Benefits
A single platform to • Simplify management of
manage and
administer costly/complex Data
integration of System z Data
with distributed BI system.
DB2
Analytics • Enable application queries
Accelerator
which you would prefer to run
Data with more real-time data on
Analytic
Mart System z
System
• Consolidate isolated islands of
Data n
ic atio data on one secure Hub
Mart pl i f
Sim • Eliminate “Multiple Versions of
Data the Truth”
Mart
• Increase time to value to
Analytic
Consolidate the ever growing deploy new DataMarts
System proliferation of data marts onto a
single, easily managed platform • Integrated OLTP & BI
approach to achieve true
Operational BI


Banking customer Southern Europe
 Started Beta program with one test workload
 Results were so convincing that the program was extended to another, much larger workload
 Results were compared to the results of three competitors
 Tests resulted in acquisition of one full rack DB2 Analytics Accelerator

BENCHMARK RESULTS - logarithmic scale
Comp1

10.000

1.000
Comp2
100
SECONDS

10
Comp3
1
1 2 3 4 5 6 7
0
DB2 & IDAA
Query #


DB2 Analytics Accelerator for SAP BW

“ These results prove
that IDAA very well
supports rapid SAP BW
ad-hoc reporting
”
 Enhances the SAP Certified
DB2 for z/OS
 Accelerates SAP NetWeaver
BW
 Dramatic decrease in elapsed
time for SAP BW ad-hoc
reporting

http://www.sdn.sap.com/irj/scn/go/portal/prtroot/docs/library/uuid/0098ea1f-35fe-2e10-efa9-b4795c49389c


Announcing DB2 Analytics Accelerator V3
Software upgrade delivering lower cost for trusted analytics

High performance storage saver
 Store a DB2 table or partition of data solely on the
Accelerator. Removes the requirement for the data to be
replicated on both DB2 and the Accelerator
Incremental update
 Enables tables within the Accelerator to be continually
updated throughout the day.

Query prioritization
 Brings System z workload management down to the individual
query being routed to the Accelerator

Unload Lite
 Reduces z/OS MIPS consumption, by moving the preparation
off System z.


High Performance Storage Saver
Reducing the cost of high speed storage

Store historic partitions on the Accelerator only

Partitioned Table  When partitions no longer
require updating, reclaim the
DB2 Database
DB2 storage
Resident
Partition
 Continue to search the entire
table at Accelerator speeds
High
Performance
 Direct mixed workload queries
Accelerator Storage Saver
to hotter temperature partitions
while focusing aggregate type
High
Performance querying to the warm
Storage Saver temperature data

High Performance Storage Saver can be implemented as a partition or full table
15


Incremental update
Enable near-real-time operational analytics
 Changes in data warehouse tables typically driven
by replication or manual updates
– Corrections after a bulk-ETL-load of a data Operational Analytics, Reports, OLAP, …
warehouse table
– Continuously changing data (e.g. trickle-feed
updates from a transactional system to an Continuous
Continuous
Query
Query
ODS) Processing
Processing

 Reporting and analysis based on most recent data
 May be combine with first a table refresh followed DB2 z/OS Query Optimizer
DB2 z/OS Query Optimizer

by incremental updates
 Incremental update Accelerator
DB2 native
DB2 native Accelerator
Application
Application

can be configured processing
processing processing
processing
per database table
Replication

Incremental Update
Changes
DB2 for z/OS database


Choosing the best fit
Key indicators
IBM Netezza
 Performance and Price/performance leader
 Speed and ease of deployment and administration
IBM Netezza standalone appliance
 Strategic requirement for standalone decision support system
 If primary data feeds are from distributed applications
 Deep analytics applications or in-database mining

IBM DB2 Analytics Accelerator for z/OS
 Transparent acceleration of existing reporting workload on DB2
or extension of an existing DWH on DB2
 Primary data feeds from mainframe applications. Protect ETL.
 For mainframe class availability, security and recoverability
 Mixed workload of queries with high concurrency


Choosing the best fit
IBM can support

 Map the flow of information from DB2 for z/OS and evaluate DB2 accelerator use
cases in your enterprise:
– Optimization of existing reporting workload
– New insight, leveraging DB2 for z/OS data
– Consolidation of distributed datamarts currently fed from DB2 for z/OS

 Solution design:
– Optimization: perform a workload assessment
– New insight: facilitate a project definition workshop
– Consolidation: facilitate an architectural workshop

 Quantify the benefits with a Business
Value Assessment


Thank you
Ciro Puglisi
IBM Netezza Europe
+41 79 770 5713
cpug@ch.ibm.com
@ciropuglisi

IBM DB2 Analytics Accelerator: a DB2 Query Performance Revolution powered by Netezza

Recommended

Recommended

More Related Content

Recently uploaded

Recently uploaded (20)

Featured

Featured (20)

IBM DB2 Analytics Accelerator: a DB2 Query Performance Revolution powered by Netezza

Editor's Notes