It’s only moneyData management with Oracle and Microsoft® SQL Server®

Wendy Harms and Kannan Mani#HPEDiscover – June 8, 2017

The modern, data-driven enterprise organization

2

Achieves superior business outcomes

Data

Leverages all relevant dataintegrated across apps

Executives to line employees informed by all relevant data

Predictive analytics—proactiveanalytics apps on every platform

People Insights

Inhibitors to becoming a data-driven organizationDatabase management is the cornerstone of data-centric foundations

31"Delivering Data at the Speed of Business." Database Trends and Applications, April 2016.

Rigid, single-purpose infrastructures exist where mixed environments and workloads are needed

Legacy architectures and infrastructure can’t handle the volume, velocity or variety of today’s data

of decision makers lack complete information1

of decision makers don’t receive the required information on time151%

55%

of organizations use data for decision making all the time124%

Ideas Insights Data

Major factors hindering the use of data in decision making

Challenges in data management

4

Aging infrastructure

Scalability

Availability

Management

Missed opportunities

Escalating complexity High costs Technology limitations

Database landscape

Data growth

Reduced performance

Software licensing

Right-sizing data management infrastructure

5

Empower business processingAlign infrastructure with demanding applications

Optimizing infrastructure

DL380 + Persistent Memory Virtualization

DL580 / SY680 Virtualization, consolidation

Superdome X / MC990 X Virtualization, consolidate all tiers and mixed landscapes with flexible hard partitions

3PAR StoreServ From midrange to high-end with multi-tenancy and built-in protection to consolidate mixed workloads

Business processing

− Compute-intensive OLTP workloads

− ERP, CRM, batch …

− Dynamic demand, growth

Criticality Mission-critical

Headroom/growth

Users/transactions

Database size Up to 1 – 3 TB Up to 10 TB Up to 30+ TB

Find the Right Mix

− Memory and I/O scalability for mixed transaction/analytics workloads

− Better OLTP per-core performance lowers compute, licensing needs

− Reduced management costs with a consolidated landscape

6

Accelerate analyticsSelect the Right Mix of compute and storage

Optimizing infrastructure – performance

DL380 + Persistent Memory Boost I/O-bound performance

DL580 / SY680 Scale memory and compute

Superdome X / MC990 X Scale memory and compute, run OLAP and OLTP in conjunction for real-time intelligence

3PAR StoreServ Assure bandwidth, IOPS, and latency with QoS controls. Multi-controller and wide-striping for extreme performance.

Database size Up to 1 TB Up to 10 TB Up to 30+ TB

Speed Real-time

Criticality Mission-critical

Flexibility

Decision support

− Data-intensive workloads

− Data warehouse, BI, batch …

− Keep pace with speed of business

Find the Right Mix

− I/O capacity to support data transfers, data protection, and user volume

− Balanced scaling to meet workload demands

− In-memory supported for data-intensive operations

− Eliminate ETL delays for real-time analytics

7

Quantify Oracle bottlenecks with Database Performance ProfilerObjective assessment tool

8

Where’s the slowdown? Storage, servers or both,

DPP will show you

By eliminating cores, this customer could avoid $220K in Oracle licensing fees

DPP report provides insights and trends about your workload– Chart below generated on a 64-core server

– CPU utilization never goes over 12%

– Workload could be converted to a new, smaller server

– A new efficient ProLiant server, or a blade in a Superdome X, is effectively free

Customer lessons for data managementON SemiconductorRepublic National Distributing Company

9

Fortune 1000 provider of semiconductor and integrated circuit devices

ON SemiconductorCustomer lessons for data management

10

Phil ColonSr. Director of Global IS

Russell WhaleyDatabase Manager

One of the nation’s leading wholesale beverage alcohol distributors

Republic National Distributing CompanyCustomer lessons for data management

11

Michael LindseySystems Architect

Overcoming data management challengesCosts, complexity, performance

12

Meeting performance needs and cutting license costs

13

Database migration?

Oracle is 11.7x the cost of SQL Server

For OLTP & DW scenario, price comparison is based on a server with 2 proc, 8 cores each

$3,745,000

11.7x more

Everything

built-in

$320KMobile BI & self-service BI

#1 TPC-H—DW

Industry leader—OLTP

In-DB advanced analytics

Built-in ETL

– Server optimization / consolidation

– Scale-up efficiency / Reduce cluster latency• Better per-core performance• Avoid Oracle RAC

– HPE Persistent Memory

– In-memory database technology

– Accelerate database performance with All-Flash storage• Reduce latency and improve back-end performance• Scale workload to hundreds of thousands of IOPs

Server optimization to control costs and complexityConsolidating servers and database instances

14

0

50

100

150

200

250

300

1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018

($B)

Power and cooling

Server management and administration

New server

“The shift to low-capex scale-out x86 systems also had undesirable effects. The increased opex of managing the expanding x86-installed base has been taxing IT budgets, making it difficult to fund new initiatives that might have delivered revenue-generating innovations.”

1996 – 2018 Worldwide Spending: New Server, Power and Cooling, and Management and Administration

– Simplify database landscape and management

– Consolidate licensing– Potentially Increase utilization of Database/App

licenses (Depends on degree of consolidation)

– Reduce hardware costs > 50%– Consolidate servers based on workload, avoid

“Server Sprawl” (Depends on the environment)

– Lower hardware/software support costs

– IDC: Over 35% in savings from consolidating to scale-up servers– Increase IT staff productivity– Better resource utilization (CPU, memory,

network)– Lower software licensing costs– Reduce energy consumption– Reduced IT infrastructure costs– Reduced end-user productivity losses

Server optimization, from scale-out to scale-upDrive up performance while you drive down license fees

15

Eliminate cluster latency, Oracle RAC fees

For typical OLTP and mixed transaction/decision support database workloads, a scale-out cluster requires more cores than a scale-up server, to provide equivalent performance.

– Scale-up benefits– Support very large contiguous memory to accelerate in-memory databases – Offer good performance without significant tuning– Eliminates need for partitioning for scale – Easier to deploy and manage than scale-out – Higher hardware costs per node, but fewer nodes – Deliver redundancy/failover for highest levels of availability with just two nodes – Can be clustered for very large workloads

– Consider scale-out compute for– Better performance for select analytics workloads– Lower cost of initial and subsequent server hardware acquisition

– But offset by higher database licensing costs for medium to larger implementations and lower per node utilization

– Addition/removal of servers by partitioning compute at node level– Implementing rolling upgrades

$0

$6,000

$12,000

$18,000

Exadata Superdome X

Other

SoftwareSupport

HardwareSupport

Software

Hardware

38%lower TCO

3-year TCO model, figures in $K USD

Boosting performance with HPE Persistent MemoryHighest performing persistent memory in the market running at DRAM speeds1

16

HPE NVDIMMsNew HPE Scalable Persistent Memory

Oracle + Persistent Memory

Reduction in database licensing costs using the fastest tier of storage on HPE servers2

Increased Oracle database throughput with HPE Persistent Memory as compared to 15K RPM SAS drives with only a 40% price increase3

More cost effective than SSDs3

SQL Server + Persistent Memory

In-memory compute Checkpoints and restores

HTAP – Real-Time AnalyticsTB-scale databases

OLTP + OLAP = HTAP

Up to 20x reduction in database recovery time preserving maximum uptime.Up to 27x faster checkpoint operations enabling significantly faster business operations

And much ... much … more

Big Data Service Providers Performance Tier Virtualization

Up to 3X

Up to 4X

Up to 50%

– Double the performance and half the latency using byte-addressable storage features in SQL Server 2016

– A single HPE NVDIMM doubles SQL Server OLTP performance.

– Gains ranged from 2-4 X depending on the baseline tested against

– Manage SQL Server 2016 performance outside of Persistent Memory with 3PAR AFA continuous data management

1,2,3 Substantiation for quantifiable benefits in speaker notes

HTAP

In-memory database for real-time business insightsWhen the database is loaded in system memory, it’s lightning fast

17

Column-based in-memory database

Row-based in-memory database

OLTP Transaction OLAP Analytics

SQL Server in-memory Accelerate insights and transactions

Over 100x query speed and significant data compression withIn-Memory ColumnStore

Faster TransactionsIn-memory OLTP

Up to 30x faster transaction processing with In-Memory OLTP

Faster QueriesIn-memory data warehouse

100% cloud-ready Server on demand QoS (HA & DR) Security Support

One-stop solution for all of your enterprise needs

18

– The entire HPE server product line is designed to be cloud-enabled.

– Whether you stay on-premise or move to a hybrid cloud, your HPE server is ready.

– All of our platforms (DLs, BLs, Hyper Converged, MCS (Superdome/MC990x), Synergy and 3PAR/Nimble)

– Increase application/ DB Quality of Service

– Scale dynamically

– Simplified high availability and simple disaster recovery

– Next generation of servers are more secured with HPE iLO

– Complete isolation between Production and Test/Dev systems

– Protects databases and applications against network-based threats

– HPE Data Care support include Oracle and SQL Server support

– One vendor to work with for support

– HC380/Simplivity and Synergy Image streamer through HPE OneView

– Provision databases on demand

– Minutes to provision in production and in the dev/test environment

– Automated Migration from Physical to Virtual

ProLiant DL380 with Persistent Memory

Hyper Converged 380ProLiant DL580 and

Synergy SY680Integrity MC990 X Integrity Superdome X

Cost-effective 2-socket server; boost OLTP with Persistent

Memory

“VM vending machine,” consolidate multiple virtualized

databases

Scale-up 4-socket solutions for business processing, analytics, and

consolidation

Mission-critical x86 solutions for large enterprise applications and data center optimization; up to 48 TB memory for in-

memory database and analytics

4X faster OLTP on SQL Server 20161

Simple to deploy,ready for hybrid cloud

High availability, 2-4 sockets, 6 TB memory

Flexible modular scalability,from 4 to 32 sockets

2-16 sockets,99.999% availability

Industry’s broadest portfolio for enterprise database appsSelected compute – 100% cloud ready

1Up to a 4x increase in Microsoft SQL Server 2016 transaction performance with HPE ProLiant DL380 Gen9 and HPE Persistent Memory, as compared to SAS SSDs.

Substantiation: Internal HPE lab testing on an HPE ProLiant DL380 Gen9 E5 2600 v4 with HPE 8GB NVDIMM-N as compared to SAS SSDs, June 2016. 19

Industry’s broadest portfolio for enterprise database appsSelected storage, networking

20

3PAR StoreServ 9450All Flash Array

3PAR StoreServ 20000All Flash Array

StoreOnce Cloudbank Arista 7300 & 7150Arista 7500R, 7280R

and 7020R

Lightning fast IO and built-in resiliency. One architecture from midsize to high-end, eliminating tier 1 distinctions, with “six-nines” availability,

75% data reduction for affordability.

Rapid app-integrated data recovery, transparent backup with

Recovery Manager Central

Ultra-low latency networking for enterprise-class database deployments. Leading solutions for high performance big data clusters,

100GbE cloud data centers, multi-rate uplinks.

2 million IOPS,6PB RAW

3.7 million IOPS,228 SSDs per rack

Use any application,leverage any cloud

SSD options,large forwarding tables

FlexRoute routing solutions;manage by CloudVision

HPE Data Management Reference Architectures

21

– HPE Reference Configuration for Microsoft SQL Server 2016 on HPE Synergy composable infrastructure

– HPE Reference Architecture for Oracle 12c license savings with HPE 3PAR StoreServ All Flash and ProLiant DL380 Gen9

– HPE Reference Architecture for deploying Oracle 12c with HPE Synergy Image Streamer

– HPE Reference Architecture for HPE ProLiant DL580 Gen9 and HPE 3PAR StoreServ 8450: Consolidating multiple Oracle databases into a single instance Oracle database

– Improving Oracle Database performance with HPE Persistent Memory on HPE ProLiant DL380 Gen9

– HPE Reference Architecture for Microsoft SQL Server 2016 Operational Analytics on the HPE ProLiant DL580 Gen9

– HPE Reference Architecture for Microsoft SQL Server 2014 on HPE 3PAR Storage with Disaster Recovery

Check out all Data Management Reference Architectures www.hpe.com/info/dm-RA

Thank you

22