MasterCard Optimizes Big Data Management with BMC High Speed Utilities for DB2®

© Copyright 2016 BMC Software, Inc. 1

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Kate Kavanaugh – MasterCard

Phil Grainger – BMC Software

MasterCard: Digital Masters

BMC Next Generation Technology


DigitalBusiness… is challenging

Mainframe

ITBaby boomers retiring

Training new staff

Unpredictabletransaction patterns

Growing transaction volumes

Multi-platform complexity and integrations

Syst

ems

Co

st

More non-revenue generating transactions

Capacity growth

MLC costs increase yearly

Quickly deploy new applications

Instant response time

24x7 availability

Dat

a

Enormous data growth

New data types

Objects too big to easily manage

Customers demand more, always

available, faster applications


Waves of Data are Flooding your Database• Routine Database Maintenance Keeps Your Applications Afloat

The Most Important

Responsibilities for DBAs*#1 Database Maintenance - 70% #2 Performance – 69%

Data that is physically well-

organized can improve the performance of access paths that rely on index or table scans, and reduce the amount of disk storage used for the data.**

• 90% Unstructured data


The key to digital success is to transform to

of the time100%

Manage all of your database objects

Automatically.

Ensure the integrity of your Structured and Unstructured Data with

no additionaleffort

Application performanceimprovement with

10%

Zero Outage

a Digital Master

Master the wave of data for a competitive edge!


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Digital Masters with Next Generation Technology

Kate Kavanaugh

MasterCard Technologies


MasterCard: Digital Masters

Transforming the way people pay and get paid

Helping businesses grow

Improving the shopping experience

Advancing financial inclusion around the world.

Operates the world’s fastest payment processing network, connecting consumers, financial institutions, merchants, governments and businesses in more than 210 countries and territories


Who is MasterCard?

7

Consumers want better ways to pay.

We invent them.

Checkout lines are too slow.

We help them move faster.

Commuters are busy.

We speed them on their way.

Procurement is complicated.

We make it simple.

People want financial access.

We find ways to serve them.


Who is MasterCard?

8

210countries and territories

11,300employees

48.3 billionprocessed transactions

US $4.6 trillion* gross dollar volume

US $9.7 billion net revenue


MasterCard: Our Environment

9

60 Data z/OS SubsystemsData Sharing and non-Data Sharing

DB2 V10 and V11 CM

104.3 TB of Data Stored in DB2

9 DBAs

DB2 Applications

Mix of batch and online

Some Standalone – Some interact across subsystems


The Digital Challenge – Flood of Data

Leaving Indexes Disorganized Impacts Application Performance

10B ROWs

366 Partitions1 NPI 7 indexes

Approaching

Limited to Current data

Daily Reorgs3-4

Partitions/Day

Non Partitioned Index – Primary

keyNot Reorganized as part of daily

reorg


Online Schema Change

Need to Convert DSSIZE from 4G to

32G

Requires a Full TS REORG

10TB!

Dilemma

Time not available for

5B

IBM Reorg took 48 hours to reorg 2B rows

IBM would require the purchase of 6 TB of DASD


BMC Next Generation Technology

Innovative Processing Methods – Scalable for Digital Business

• Goal was 24 hours

• NGT REORG Converted the object in 5 hours with a full reorg

• Daily process reduced from 4 hours to 45 minutes

• Indexes always reorganized

– Increased application performance


Database Maintenance with Availability

Innovative Processing Methods

• No application downtime (-904s) –RW all the time

• Automation is able to suspend DPROP for a few seconds enabling drains

– Automatically resumed

• Online Schema changes require materialization

– DB2 process can exceed timeout value


—BMC Data Management with Next Generation Technology


BMC High Speed Utilities with Next Generation TechnologyA new paradigm in Database Management

Complete suite of DB2 High Speed Utilities with a Intelligent, Centralized Architecture

Zero Outage Data Base Management

Intelligent, self-learning automation

Scalable to the extremes of digital business

IntelligentCentralized

Architecture


Intelligent Centralized ArchitectureLeverages DB2 and z Systems resources for performance and scalability

Simplify data management with Intelligent policy driven automation

Increase application performance with Zero Downtime with Innovative Processing Methods

Guarantee data integrity of structured and unstructured data

Manage growing databases with scalable parallelism that handles DB2 extremes

IntelligentCentralized Architecture

• Intelligent Policy Drive Automation• Innovative Processing Methods•Data Integrity• Scalable Parallelism


• Analyze your database as the utility runs based on real-time information

• Ensures constant optimization

• Eliminates JCL generation

• Eliminates the need to manually handle exception objects

• No templates or profiles to maintain

Analyze entire databases in real time

Dynamic Object Selection

NGT Criteria Table

NGT Schedule Table

NGT Exception Table

DBASE1

REORG TABLESPACE DBASE1.% RTS

Force or exclude?

Can it run now?

Does it need to run?• Index only?• Copy only?

DB2 RTS TABLES


0

10

20

30

40

50

60

70

80

90

CPU ElapsedIBM NGT

Increased performance reduces costs and enables digital business

Innovative Processing Methods

• Patented No-SORT Technology

• Leverage the power of z Systems and DB2 to achieve incredible performance

• No need to decompress/recompress data reducing processing time and storage needs

• PBGs processed in parallel reducing required time and resources


Maintain optimal application performance and guarantee data integrity

Internal Data Integrity Checks

• Indexes are always reorganized online; never updated or rebuilt

• Integrity checking performed every time a utility is run

• Save resources by automatically processing only indexes if required

• Ex: Bank achieved a 90% improvement in applications when indexes were reorganized


Manage and validate unstructured data automatically

Guarantee data integrity of LOBs with no change to operations

• Proper LOB Management requires CHECK IX, CHECK DATA, CHECK LOB, REORG

• What can go wrong?

– Errors with LOBS occur when there are inconsistencies between the three main component objects

• 60% of DBAs admit to not validating LOBs*

• LOBMaster automatically validates and reorganizes LOBs as part of your automated database reorg

– No change to your operations

*Forrester Survey comissioned by BMC


Server

SYSPLEX

NODE

NGT PROCESSES

Server

Server

Utility

Job

Dynamic parallel processing that leverages the power of system Z

Spread work across a sysplex

One statement can process thousands of objects

Future Proof Technology ready to handle the extremes of DB2

Easily Manage Extreme Data Growth

Scalable Parallel Processing


Unleash the Power and Value of Your Mainframe

• Review your data trends, environment and current capabilities

• Review your processes and tools against best practices

• Identify gaps and remediation options

• Assess business benefits to close gaps

Next Steps: Digital Data Management Review