In-memory computing with SAP HANA

June 2015

Amit Satoor, SAP

@asatoor

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 1

Hyperconnectivity across people, business, and devices give

rise to a new digital economy powered by real-time data

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 2

75 billion connected devices

in the Internet of Things

Over 2.55 billion

social media users by 2020

U.S.$65 trillion in global trade

through connected businesses

Source: SAP Corporate Fact Sheet 1/2015 Source: www.emarketer.com Source: Business Insider

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 3

As five billion people reach middle class, new challenges arise in

customer expectations, workforce, and resource management

Dramatically Changing Workforce

82% customers

stop doing business

with a company due

to a poor experience

$5.6T savings through

connected vehicles

67% increase in crop yields

22% increase in supply

chain efficiency

Rising Customer Expectations

71% of business leaders

believe that customer

experience is the next

battleground

High employee

engagement: 3x higher

operating margin

72% of Millennials feel their

current organization is not

making full use of their skills

Pressure on Resources

Water 1.5x by 2030

Energy 1.5x by 2020

Food 1.5x by 2030

Metals 2x by 2030

Sources: Impact Report, Harris Interactive. Colin Shaw and John Ivens, 2010; Deloitte Millennial Study, 2015; Shell, 2014; WRI, 2014; SAP SE, 2014. Towers Watson, 2012

77% of CEOs are creating value in the customer experience

with digital technologies

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 4

Mobile Social Big Data

Cloud 36% of all data

will be stored in the cloud by 2016

90% of the world's population

over 6 years old

will have a mobile device by 2020

75% of customers rely on

social media to

influence their purchasing decisions

44 trillion gigabytes of data

generated by 2020

Sources: McKinsey Study, 2013; CloudTweaks.com; Ericsson, 2014; CIO Insight, 2014; Adweek, 2014

A breakthrough in today’s information processing architecture is

needed

DEEP Complex & interactive questions

on granular data

BROAD Big data,

many data types

HIGH SPEED Fast response-time,

interactivity

SIMPLE No data preparation, no pre-aggregates,

no tuning

DEEP Complex & interactive questions

on granular data

SIMPLE No data preparation, no pre-aggregates,

no tuning

REAL -TIME Recent data, preferably real-time

HIGH SPEED Fast response-time,

interactivity

OR

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 5

10.2% or U.S.$237 billion of profits are lost by the top

200 global companies due to hidden costs of complexity

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 6

Source: The Simplicity Index 2011, 2015 Wharton-SAP Run Simple Survey.

Real-time Business Scenario Real-time bonus

calculations for consumers

Sales Customer Service

Customer overdue credit calculation by product areas

Finance and Operations

Iterative period end closing with new posting into accounts constantly

Manufacturing

New ATP strategies; MRP run for individual ATP check/instant re-planning

IMPACT ON BUSINESS Slow Response Times | Usability Challenges | Lack Of Adaptability

IMPACT ON IT High Latency | Complexity | High Cost of Solutions

Transactional Datastore

Data Warehouse

Sensors Data

Mobile Data

Archives Social & Text Geo-Spatial

Location Intelligence

Order Processing

Operational Reporting

Real-time Risk & Fraud

Trend Analysis

Sentiment Analytics

Predictive Analytics

Pattern Recognition

Analyze

ETL

Staging

Collect

Clean-Data Quality

Transact

Aggregate

Summarize

Communicate

Monitor

Predict

Planning

0

1

CPU

Next-generation Software & Hardware Architecture

Removing data processing bottlenecks using latest innovations in

computing

STORAGE

MEMORY

Compression Partitioning OLTP+OLAP

in column Store Insert Only on Delta

No Aggregate tables (Dynamic Aggregation)

Solid State Flash HDD

64bit address space 1 TB in current servers

Dramatic decline in price/performance

L3 Cache

L3 Cache

L3 Cache

L3 Cache

L3 Cache

L3 Cache

L3 Cache

L3 Cache

Multi-Core Architecture 8 CPU x 10 Cores per blade

Massive parallel scaling with many blades

Logging and Backup

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 7

SAP HANA Platform - The in-memory computing platform for

all Applications

SAP HANA Platform Application Services

Database Services

Integration Services

SAP, ISV and Custom Applications

All Devices

OLTP + OLAP ONE open platform ONE copy of the data

All Data

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 8

Standard-based and Open

• Database Services

– Standard RDBMS

– ACID, SQL 92 Compliant

– Accessible thru JDBC, ODBC, JSON, OData

– Standard security model

– Choice of third party administration tools

• Application Services

– Choice of application servers and webservers

– Eclipse based and web development tool

– Include web server with Java Script support

– Include HTML5 UI libraries

• Integrations Services

– Data movement and federation with existing DBs

– Integration with R and Hadoop

SAP HANA Platform

Application Services

Database Services

Integration Services

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 9

SAP HANA Platform

Application Services

Integration Services

Database Services – Foundation and Processing Capabilities

In-memory Database Services

Turns data into real-time information

No database tuning required for complex and ad hoc queries

Run Transactions and Analytics together on one system and one copy of data

Ready for Cloud, Hybrid, or On-premise deployment

Not limited by the size of memory

Advanced Compression

Multitenant Database Containers

In-Memory ACID Columnar

Dynamic Tiering

Multi-Core / Parallelization

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 10

Comprehensive advanced data processing and analytics

SAP HANA Platform

Application Services

Integration Services

Database Services – Foundation and Processing Capabilities

Predictive

Search

Function Libraries

Spatial

Text Mining Text Analytics

Graph

Data Quality

Run applications with dramatically different datatype characteristics in the same system

Optimize graph, planning, and rules applications on the same data

Empower your business via built-in predictive analytics, business functions, and data quality

Series Data

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 11

Application Services- Web server and database in one system

reducing data movements

Database Services

SAP HANA Platform

Application Services

Integration Services

J/ODBC ADO.NET OData JSON SQL HTML5 MDX XML/A

Deliver consumer-grade User Experiences for any device, automatically

Support for open development standards – HTML5, JSON, Java Script

Built-in tools to develop, version-control, bundle, transport, and install applications

Web Server SAP Fiori UX Application Lifecycle

Management

Integration Services - Data from any source for a complete

view of the business

SAP HANA Platform

Integration Services

Database Services

IBM DB2, Oracle, MS SQL Server, Twitter, HIVE, OData, Custom Adapters

IBM DB2, Netezza, Oracle, MS SQL Server, Teradata, SAP HANA, SAP ASE, SAP IQ, HIVE

Application Services

Loading

Access information stored in data silos while keeping the data in place

Replicate and move any type of data in real-time to the cloud and on-premise when necessary

Capture and analyze live data streams and route to appropriate storage or dashboard

Multiple access points from HANA to Hadoop data: thru Spark, Hive, HDFS and Map Reduce functions

Federation

Smart Data Access Smart Data Integration

Hadoop Integration Smart Data Streaming

(CEP)

Streaming

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 13

J/ODBC ADO.NET OData JSON SQL HTML5 MDX XML/A

Comprehensive services with in-memory computing to make

information available to any application

Smart Data Quality Series Data Functional Libraries

Smart Data Integration Smart Data Streaming

Graph* Planning** Text Analytics Search Spatial Predictive

SAP HANA Platform

Application Services

Web Server | JavaScript | Fiori UX | Application Lifecycle Management

Integration Services

Database Services

OLTP + OLAP | Data Modeling | Stored Procedures | Multitenant Database Containers | Dynamic Tiering

Smart Data Access

| | |

| |

| |

| |

On-Premise | Cloud | Hybrid

* Graph is in controlled availability ** Not available for external use. Available with SAP products – SAP Business Warehouse powered by HANA, Business Planning & Consolidation(BPC), Sales & Operations Planning (S&OP).

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 14

Node n Node 2 Node 1

Choose the right on premise deployment option

Appliance

All in one box by certified partners

Tailored Data Center Integration

Choice of components that meet SAP requirements from different vendors

SAP HANA System

Software

Server

Network

Storage

Software

Server

Network

Storage

Software

Server

Network

Storage

Node n

SAP HANA System

Node 2 Node 1

Software

Server

Network

Storage

Software

Server

Network

Storage

Software

Server

Network

Storage

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 15

High Availability (HA) and Disaster Recovery (DR)

Ensuring the most demanding service-levels

Host Auto-Failover (HA) Within one scale-out system N active nodes, M standby node(s) Automatically switch to standby node

System Replication (HA & DR) Across multiple systems / locations Continuous data transfer from memory Fast switch-over on system failure

Geo clusters

Metro cluster

Sync

Async

Async

Storage

SAP HANA (Primary)

Node

Storage

SAP HANA (Secondary)

Node

Storage Replication (DR) Across multiple systems / locations Transfer data using storage mirroring Low cost option

Supports campus, metro and geo clusters with multiple hot standbys

Campus

cluster

SAP HANA

Node 1 Node 2 Standby

Storage Storage

SAP HANA (Primary)

Node

Storage

SAP HANA (Secondary)

Node

Secondary system can be used for Dev/QA.

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 16

SAP HANA Platform

All SAP applications run better with in-memory computing

Core Business Processes

S/4HANA

Data Warehouse and Data Marts

BW on HANA

Advanced Analytics

BPC, S&OP, CO-PA

Operational Reporting, BI

HANA Live, Lumira

Cloud Solutions

Successfactors, Sales, Service and

Marketing

Business Network

Ariba

Big Data

Customer Engagement Intelligence

IoT

Predictive Maintenance

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 17

Common use cases

Optimizing Business Operations

Operational Reports, Dashboards, and Analytics

Real-time Operational Intelligence

Data Warehouse and Data Mart

Big Data Decision Support, Simulation

and Automation

Get instant insights into real-time transactions to optimize

business operations

Analyze and visualize operational details to support

your day-to-day activities

Run queries against operational data, streams and events to deliver

real-time insights

Deliver actionable insights on enterprise-wide or departmental data

Uncover the value in large, complex and rapidly growing

data sets

Streamline and automate business processes with

advanced analytics

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 18

Deliver results for business today

5,800+ SAP HANA customers

1,850+ SAP Business Suite and

1,600+ BW powered by SAP HANA

customers

1,800+ startups from 57

countries innovating on SAP HANA

10,000 times faster reports

37+ SAP HANA Cloud Data Centers

Worldwide (from SAP and IBM)

Forrester reports 37%

cost savings using a single system for Analytics and Transactions

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 19

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