NonStop Connect TBC - SQL Strategy & Directions - Final

© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.2
NonStop SQL driving
Innovations
ConnectAdvancedTechnicalBootCamp
AjayaGummadi, NonStopProductManagement
Nov4th,2013

This is a rolling (up to three year) roadmap and is subject to change without notice.
Forward-looking statements
This document contains forward looking statements regarding future operations, product
development, product capabilities and availability dates. This information is subject to
substantial uncertainties and is subject to change at any time without prior notification.
Statements contained in this document concerning these matters only reflect Hewlett Packard's
predictions and / or expectations as of the date of this document and actual results and future
plans of Hewlett-Packard may differ significantly as a result of, among other things, changes in
product strategy resulting from technological, internal corporate, market and other changes. This
is not a commitment to deliver any material, code or functionality and should not be relied upon
in making purchasing decisions.

This is a rolling (up to three year) roadmap and is subject to change without notice.
HP confidential information
This Roadmap contains HP Confidential Information.
If you have a valid Confidential Disclosure Agreement with HP, disclosure of the Roadmap is
subject to that CDA. If not, it is subject to the following terms: for a period of 3 years after the
date of disclosure, you may use the Roadmap solely for the purpose of evaluating purchase
decisions from HP and use a reasonable standard of care to prevent disclosures. You will not
disclose the contents of the Roadmap to any third party unless it becomes publically known,
rightfully received by you from a third party without duty of confidentiality, or disclosed with
HP’s prior written approval.

Agenda
NonStop SQL
• Strategy & Roadmap
• Big Data Solutions
• Key Takeaways

© Copyright 2013 Hewlett-Packard Development Company, L.P.
The information contained herein is subject to change without notice.
HP NonStop SQL Strategy & Roadmap

• Focus on clustered OLTP and DW
database markets
• Lead with a scalable SQL architecture
• Lead in mission critical availability
• Continued handling of extreme high
volumes and velocity of Big Data
NonStop SQL Strategy

NonStop SQL: Invest for the Future
• Meet the needs of existing customers
• Invest in security, performance, manageability
and enabling features
• Continue to support SQL/MP
• Select enhancements to Enscribe
• Acquire new applications and customers
• Enable low risk and low cost ports from other
clustered database platforms
• Enable NonStop play in Big Data world

HP NonStop SQL: The Real-Time database platform
9
2011 FUTURE2012 2013
This is a rolling (up to three year) Statement of Direction and is subject to change without notice.
2010
SQL/MX 3.0
H06.22/J06.11
Feb ‘11
SQL/MX 3.1
H06.23/J06.12
Oct ‘11
SQL/MX 3.2
H06.25/J06.14
Sep’12
SQL/MX 3.2.1
H06.26/J06.15
Feb ‘13
Connectvity
Enhancements
H06.26/J06.15
Aug’13
Future
Revisions
SQL/MX 2.1.1 – G06.27 September 2005, mature and supported
SQL/MX 2.3.4
H06.20 / J06.09
Feb’10

HP NonStop SQL Releases
NonStop SQL/MX 2.3.4
Limited Support State
• All customer reported defects analyzed
• Existing fixes provided
• Workarounds to known problems provided
• Responses to setup, usage, config questions
Embedded SQL in DLLs
Cascaded Updates and Deletes
Thread aware OSS ODBC/MX driver
NonStop SQL/MX 3.0
Mature Support State
• All customer reported defects analyzed
• Critical defects repaired
32k row limits, 2k Key Limits
128 digits extended numeric precision
64 bit ODBC and JDBC drivers

HP NonStop SQL 3.1
Secure Database
Separation of Duties
Change ownership of
database objects
SSL Support in
Connectivity Clients
Migration Enablers
Support Oracle Syntax -
NVL, Decode, Coalesce,
TRIM, LTRIM, RTRIM.
To_Char, To_Date
Pre-processor
enhancements to align
with SQL/MP
Connectivity Performance
enhancements
Better Manageability
Copy Histogram stats
between Production and
Dev/Test databases
Rename Database Objects
October 2011, H06.23, J06.12

HP NonStop SQL 3.2
Modern Features
32-bit ODBC/MX Driver for
Linux
64 bit Support for
embedded SQL
applications
Backup/Restore DDL with
>3000 characters
Migration Enablers
Allow sub-queries with
AFTER TRIGGERS
Extended numeric
precision upto 128 digits
Performance
enhancements for
connect/disconnect times
HP Database Manager
(MXDM) GUI tool to
manage SQL databases
Scripted interface to
MXDM with Remote mxci
Enhanced DBA Tools
September 2012, H06.25, J06.14
This is a very stable Release for customers who want to migrate off 2.3.4

HP NonStop SQL 3.2.1
Modern Features
JDBC T2 64-Bit Driver
SQL Support for NSJ7
IPv6 Support in MXCS
U64 Dynamic SQL Support
Migration Enablers
External Sequence
Generator
DATE_ADD, DATEADD
DATE_SUB
DATEDIFF
SHOWDDL enhancements
SHOWSTATS
Enhanced DBA Tools (
CLEANUP, FIXUP, VERIFY )
MXRPM Tool: Support for
Guardian Modules
February 2013, H06.26, J06.15
This is the recommended Release for customers who want to migrate off 2.3.4

August 2013, H06.26, J06.15
HP NonStop Connectivity Enhancements
• Any JDBC T4 application in cloud can access NonStop SQL instance over an
encrypted SSL connection
• ODBC Applications running on HP-UX IA64 can access NonStop SQL database
instance in a 2-Tier application architecture
• ODBC Applications running on Windows can insert/select UTF-16 encoded Unicode
data

HP NonStop SQL Future Revision Candidates
• Online mxci help
• PAK2/UNPAK2 to archive/un-archive MX files in OSS
• MXDM support for create/alter database objects, manage data sources
• Safeguard Delete User protection and respect Volume ACLs and Display Object
permissions
• BR2 enhancements – schema and table names could differ, no need to pre-create
Catalogs for a Restore operation
• 64-bit ODBC driver for Linux 6.2
• Query Plan Quality Improvements
• Executor performance enhancements – 64 bit EID

HP NonStop SQL Future Revision Candidates
Modern Features
User Defined Functions
Table Maintain
SQL Statement Logging
SPJ Debug and Profiling
Customer driven
innovation
Migration Enablers
To_Date, Last_Day,
Months-Between
JDBC 4.0 standard
ODBC 3.8 standard
MXDM integration with
VQA, NSKBUSY, Listlocks
Parallelism in Utilities like
Fastcopy, DUP, Import

© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
ProofPoints

Hundreds of customers have invested in NonStop SQL
• When you cannot afford downtime
• When costs and risks of complex
operational infrastructure blows away
your TCO
• When extreme performance is required
• When very large datasets is the norm
• When you need to stay with industry
standard modern technologies

Eco-system

Manageability
Database Encryption and Secure
Communication
NonStop SQL Eco-System
Data Migration, Integration, and
Reporting
Attunity (Hadoop Connectors, Big
Data Replicators)
CA (CA-GEN and ERWIN support for
SQL/MX )
Ispirer (SQLWays)
WebAction (our newest Partner)
Informatica
Microstrategy
SAP BOBJ
NuWave
Comforte
Voltage FPE, SST for
NonStop OS
Xypro
Merlon
Integrated Research
Meet Attunity, Comforte, Merlon, Voltage, WebAction, Xypro
at their Booths

MigrationFAQs

Migration to 3.x from 2.3.x – Must know
• Migration FAQs – to be published soon on Intranet and Extranet
• Releases, Schema Versions, HotStuffs, OPNs, Documentation – all in one place
– Application Migration
– Interoperability
– Connectivity Services
– Manageability
– Utilities
– Backup/Restore and Replication
– +++

Migration to 3.x from 2.3.x
• 3.2 was the Default Release on the H06.25/J06.14 SUTs
– But you can install 2.3.4 on the H06.25/J06.14 SUTs, and we tell you how
• 64-bit Java Apps need NSJ7 and SQL 3.2.1 Releases
• Currently we support Java 5, 6, 7, BUT not 4

Migration to 3.x from 2.3.x – Query Plans
• Query Plans DO CHANGE when going from 2.3.4 to 3.2*
• If you do not need the query parallelism, turn it off
– Apply CQD ATTEMPT_ESP_PARALLELISM ‘OFF’
• Some queries may see more HASH JOINS
– CQD for HASH_JOINS to be set to ‘OFF’
• Some queries may see changes to join orders
– Use the CQD JOIN_ORDER_BY_USER
• Some queries may see full table scans as opposed to index scans or index joins
– Apply CQD for INTERACTIVE_ACCESS ‘ON’
•Capture Query Plans, Review, Test, Production Deployment

Migration to 3.x from 2.3.x – More Migration Advice
• Preserve Query Plans, since they DO CHANGE when going from 2.3.4 to 3.2*
• Capture full Explain Output
• Save your Module Files
• Copy and Save your production Histogram Statistics
• Engage your HP PreSales Team during the Migration Planning phase
•Review, Test, Production Deployment

WhatisBigData?

Big Data Dimensions: Volume
Source: IBM and McKinsey

Big Data Dimensions: Velocity

Big Data Dimensions: Variety

Big Data – Key Findings
• Rampant growth
– 88% of Fortune 500 CIOs and their business depend on leveraging increasing data
– 87% predict high growth in transaction volumes
– 77% agree mobile channels are the biggest contributors
– 66% note growth in social-media channels
• Real-Time Analytics is a basic requirement to run business
– 85% CxOs see it as a business differentiator
– 60% ack the challenges
• Integrating siloed data stores,
• Dup, incorrect, conflicting data…

Market dynamics: Business Challenge
• Growth is high across all types of digital data but business
transactions are growing the fastest @28% YoY
• Only 20% of CIOs have real-time access to customer and transactional data
• Organizations can’t correlate unstructured and structured data in real-time
and react and respond quickly enough

The Traditional Data Architecture
Sales
Finance
Marketing
Operations
CRM
HR
Sales Targets,
Finance Targets,
etc.
Transactional Structured Data ETL and Information
Management
Analytics and
Reports/Dashboards
Data extract,
cleanse, integrate
Homogenized grain,
time relationships,
dimensionality
Business
calculations,
Summarization,
hierarchies
Data warehouse Analytics cubes Reporting, analysis
& visualization tools
Elapsed Time
The lines between traditional OLTP, OLAP and Analytics workloads have blurred

The New Look of Data Architecture
Executive
Dashboards
Enterprise
Search
Customer
Interaction
Predictive
Analytics
Web
Engagement
Structured
Transactional Data
Social Media
Video
Audio
Email
Texts
Word, Excel
Images
Logs
Clickstream
Data
MGD
Docs
UnStructured and Semi-
Structured Data
RealTimeCorrelation,Analyticsand
TriggerforActions
Data
Warehouses
Real-Time, in-flight, in-memory,
Stream Processing for NonStop
Persist Apps

NonStop Big Data Eco-System
Attunity
Real-Time
Data
Integration
WebAction
Real-Time
Big Data
Platform
In Memory
Processing
App
Templates –
Financials, Retail,
Cloud …

BigData:SomeReal-WorldUseCases

Big Data – Real-world Use Cases
If authorization requests for a merchant within a 10
minute interval deviates from the historical average
by 10%, notify the merchant and POS Administrator
If transaction request is coming from location X
where your GPS shows you are in location Y, take
some action like do not authorize it or authorize
minimum acceptable amount or notify the Account
Holder
Banking and Financials
Global Transaction Visibility
Anamoly detection from historical for near
real-time patterns
Fraud, Risk, Transactional Patterns
Regulatory Compliance

If a user call deviates from their historical pattern,
alert the Service Provider/Consumer
Integrate your vehicle GPS data with your mobile
location and offer real-time traffic updates
Integrate location data with live weather data and
offer real-time mobile alerts
If too many dropped calls getting reported from a
particular number or location, correlate it with
switch/tower statistics in real-time
Correlate increased social data activity with
location, and switch/cell tower data in real-time and
take some action
Anamoly detection from historical CDR
patterns
Real-Time Mobile Alerts
Location based Services
Network Performance Analytics
Telco

If atrial fibrillation irregularities detected, five
device readings exceed 2.5V in a 30 minute interval,
then alter/notify healthcare provider, including
Patient data (from structured data store)
If a patient’s web search shows a pattern of
research on diabetes, and clinical data shows
elevated blood sugar, proactively reach out for
active care
Patient Record Management
Clinical Systems
Social Patient Data
Integrated Healthcare Management Solutions
HealthCare

If a user fails to authenticate more than 3 times
within a 30 second interval across 2 or more
systems, lookup client location and alter/notify IT
Administrator
If a user session is showing unusual activity ( high
number of download APIs), notify System
Administrator
Monitor app and system logs and capture response
times for Cloud API calls
Real-Time Operational metrics
SLA adherance
Proactive monitoring
Cloud / Data Center

The New Look of the Data Lifecycle
Big Data is here to stay
• Customers are looking into integrating structured,
unstructured and semi-structured data into traditional OLTP/BI
ecosystems.
Integrated Predictive Analytics and new apps
are everywhere
• CIOs are looking to move analytics closer to where and the
very instant the data is transformed to information.
Integration is a key pain point
• NonStop has been THE OLTP database server with real-time
capabilities from Day 1
• With NonStop Big Data eco-system, it is ready to be part of
your Big Data Initiatives.

KeyTakeaways

In summary,
NonStop SQL/MX is Ready for you!
Ready to be part of your Big Data Initiatives.
Low risk and low cost migration from other database platforms.
Security improvements for Compliance and Encryption.
Better manageability, MXDM will be your DB Management Console.

NonStop SQL has strong momentum
New Applications, New Customers, New Partners
NonStop SQL is positioned for a takeoff
Strong roadmap, Investing for the future
NonStop SQL would help you derive value from Big Data
Key takeaways

More information on NonStop SQL Talks
Attend these sessions
Your feedback is important to us. Please take a few minutes to complete the session survey.
SQL/MX Security – Stan Kosinski, Monday 11:30 am
Big Data and SQL/MX – Scott Randall, Monday 2:30 pm
Bringing HP NonStop into the Big Data Ecosystem, Sami Akbay, Monday 4:00 pm
Meet the Developers, Monday 5:00 pm
Harnessing Big Data with NonStop and a LDW – T.C. Janes, Tuesday, 9:30 am
SQL SIG– Tuesday, 10:30 am
Migrating SQL/MX from 2.3.x to 3.x, Stephen Bor, Tuesday 3:00 pm
A Hitchhikers Guide to Stored Procedures in SQL/MX, Tuesday, 4:00 pm

© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
NonStop SQL driving Innovations
ConnectAdvancedTechnicalBootCamp
Ajaya.Gummadi@hp.com
www.hp.com/go/NonStopDatabase
Nov4th,2013

NonStop Connect TBC - SQL Strategy & Directions - Final

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