Business- Full-Speed-Ahead-Berg_v5

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Technology Trends series

Business: Full Speed Ahead

Dr. Bjarne Berg

Session Agenda

Introduction

Why Change to In-Memory Processing?

The Early Solutions

SAP HANA an Introduction

Demo

New Innovation and Interesting Usages

The Future and Big-Data Trends

Questions and Answers

2

Speaker Introduction

3

Session Agenda

Introduction

Why Change to In-Memory Processing?

The Early Solutions

SAP HANA an Introduction

Demo

New Innovation and Interesting Usages

The Future and Big-Data Trends

Questions and Answers

4

The Creation of Big Data

90% of all digital information was created in the last 3 years.

By 2020 we will have

5,600 GB of data for every person on earth (incl. pictures, movies and music).

That is 40

Zettabytes!

The Issue: How do we store the big data and how can we access it faster?

5

Where is the data Located and What Drives the Growth?

Source: WipPro, 2013

6

Who Benefits the Most of Big-Data Access?

Source: University of Texas

7

Data is Created Everywhere

Total number of hours spend on facebook each month: 700 Billion

Data sent and received by mobile platforms and phones: 1.3 Exabytes

Number of emails sent each day: 2.5 Billion

Data processed by Google each day: 2.4 Petabytes

Videos uploaded to YouTube each day: 1.7 million hours

Data consumed by each world’s household each day: 357 MB

(growing fast)!

Number of tweets send each day: 50 Million

Number of Products sold on Amazon each hour: 263 Thousand

Every day we create 25,000,000,000,000,000,000 bytes of data!

(that is 25 quintillion bytes).

8

Why In-Memory Processing?

CPU

Memory

Technology

1990 2013 Improvement

0.05

MIPS/$

304.17

MIPS/$

6083 x

0.02

MB/$

52.27

MB/$

2614x

Addressable

Memory

2

16

2

64

2

48 x

Network

Speed

100

Mbps

100

Gbps

1000 x

Focus

Disk

5

Data Transfer

MBPS

620

MBPS

124x

Source: 1990 numbers SAP AG, 2013 numbers, Dr. Berg

Source: BI Survey of 534 BI professionals, InformationWeek,

Disk speed is growing slower than all other hardware components, while the need for speed is increasing.

9

Why Change to In-Memory Processing?

An History Lesson:

File systems were created to manage hard disks

Relational Databases were made to manage file stems

Application Servers were created to speed up applications that ran on a database.

Therefore:

Hard drives are DYING!

Relational databases are DEAD (they just don’t know it!)

Application Servers will become less important

10

Session Agenda

Introduction

Why Change to In-Memory Processing?

The Early Solutions

SAP HANA an Introduction

Demo

New Innovation and Interesting Usages

The Future and Big-Data Trends

Questions and Answers

11

The Death of Storage and Access Technology is Normal

12

The Rate of Change – Disruptive Technologies

Moore’s Law in technology:

Processing Speed will double every 18 month

Paradigm shifts:

SAP HANA queries are executed 400-900 times faster than on relational databases

The rate of change in Paradigm Shifts is much faster than the incremental changes and a much lower cost

13

Session Agenda

Introduction

Why Change to In-Memory Processing?

The Early Solutions

SAP HANA an Introduction

Demo

New Innovation and Interesting Usages

The Future and Big-Data Trends

Questions and Answers

14

SAP HANA — In Memory Options

SAP HANA is sold as an in-memory

appliance. This means that both

Software and Hardware are included from the vendors

Currently you can buy SAP HANA solutions from Cisco, Dell, Fujitsu,

IBM, and Hewlett-Packard

The future of SAP HANA is to replace relational databases of ERP and data warehouses and run these on the inmemory platform

Source SAP AG,

SAP HANA has radically changed the way databases operate and make systems dramatically faster.

SAP HANA — In Memory Options

There are currently 7 different certified HANA hardware vendors with 13 different products.

Some boxes can be used as single nodes with others are intended for scale-out solutions for large multi-node systems

Hardware

Cisco C260

Cisco C460

Cisco B440

Dell R910

Hitachi CB 2000

NEC Express 5800

Fujitsu RX 600 S5

128GB

X

X

X

X

Fujitsu RX 900 S2

HP DL 580 G7

HP DL 980 G7

HP BL 680

IBM x3690 X5

IBM x3950 X5

X

X

X

256GB

X

Memory

512GB

X X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

1024GB

X+

X

X+

X+

X

X+

X+

The Hardware – IBM Example

SAP HANA — Available Special Applications

New Applications has been built that run on SAP HANA in-memory processing and you can also build your own

ERP

Database

Applications

Databases

Files

Virtual

Data

Marts

Virtual

Data

Marts

HANA

Virtual

Data

Marts

Virtual

Data

Marts

Applications developed by SAP

1. Planning & consolidation

2. Customer revenue performance mgmt

3. Predictive segmentation & targeting

4. Trade promotion management

5. Merchandise & assortment planning

6. Sales & operations planning (SOP)

7. Demand signal repository

8. Profitability analysis

9. Dynamic cash management

10.Strategic workforce planning

11.Smart meter analytics (power companies)

12. and much more…

This provides much tighter integration with the source system (less data latency) and much faster query response time for high-volume analysis

SAP BusinessObjects Dashboards for Enterprise Management

Dashboards can be built using the

SAP BusinessObjects Dashboards tool that takes advantage of the sub-second speed of HANA.

19

SAP Dashboards Example — Flexibility

Graphs can be displayed many ways

Navigation can be done and saved as “scenarios

SAP Dashboards — Mobile Example

Dashboards are most useful when compared to something

This dashboard is relative to a business plan

Notice that all graphs can be displayed many ways and that color coding is consistent across dashboards

The layout, buttons, and colors are consistently used and that the location of the objects aligns perfectly with each other.

Formatted Number based Dashboard Example

Dashboards can also be highly formatted and static with little user interaction

The In-Memory capabilities of HANA allows managers to see all financials in one-place in hyper-fast speed..

Operational Dashboards for Line Managers

Dashboards can be operational

This dashboard focus on billing disputes and is used to monitor closing of cases

The users of this dashboard are clerks in the billing office, not executives

With HANA – Real-time operational dashboards can by pushed to managers everywhere

23

Link of HANA data to Maps and News Feeds

Dashboards are most useful when shared with others

Power users can create great departmental dashboards that can be shared inside smaller organizational units

In this dashboard, the data is merged with Google maps and external news feeds. This makes the dashboard much more interactive and interesting.

24

HANA Demo

Session Agenda

Introduction

Why Change to In-Memory Processing?

The Early Solutions

SAP HANA an Introduction

Demo

New Innovation and Interesting Usages

The Future and Big-Data Trends

Questions and Answers

26

BI Workspaces and Modules

BI Workspaces allows you to link many SAP BI tools in the same area, without the need to jump between them.

In this workspace, we have 6 Objects with 4 different technologies.

27

New Big-Data Innovation in Medical Field for Big Data

CAT Scan of Tumor Patient

CAT scans and X-Rays create an large amount of data that doctors have to review and access

X-Ray of Cancer Patient

HANA can store this and provide high volume and provide almost instant access to hundreds of

Terabytes of data

28

New Big-Data Innovation in Safety and Security

Thousands of hours of video is taken at airports, banks, casinos, borders and other sensitive areas

Facial recognition software can identify wanted criminals

SAP HANA can store that data and process the information

29

New Big-Data Innovation – Weather and Fishery tracking

Tracking whether and execute predictive models require significant number of data points with high data volume

Modeling resources such as fisheries and specie movements also require significant data volumes and data points on catch information across the globe

30

New Big-Data Innovation – Company War Rooms

In a multi-national company, data is created and consumed everywhere.

With SAP HANA you can create a corporate war-room to track customer demand, shipments, marketing success and business intelligence

This picture is from Sprint phone company’s war-room to track usage and transition issues during system mergers and product launches.

31

New Big-Data Innovation – Pollution Tracking

Geo data from pollution, data modeling and tracking creates hundreds of

Terabytes.

SAP HANA can assist in storing and retrieving this data

With Predictive modeling and data visualization you can build sophisticated models on HANA. You can even use the R-statistical library

32

New I Big-Data innovation – Scientific Discovery

The super collider center CERN, creates over one PetaByte every second it operates.

The new Spectre R telescope of Russia has 1000 times higher resolution than

Hubble, generating billions of bytes of data.

33

Session Agenda

Introduction

Why Change to In-Memory Processing?

The Early Solutions

SAP HANA an Introduction

Demo

New Innovation and Interesting Usages

The Future and Big-Data Trends

Questions and Answers

34

The Future and Big-Data Trends

Big data is being generated from micro and macro levels.

From human DNA for each person to the content of billions of stars in galaxies.

A Map on the Whole Internet

Internet usage Map by protocol

Computer based human interaction is getting more common and generating tons in data each second

Big-Data is only get more prominent.

– can computers keep up?

35

The Future and Big-Data Trends – More Imaging

A data explosion visualized – Micro loans made

Companies will start accessing data visually instead of by numbers and text.

Users will have ondemand access to all movies, songs, information in subsecond speed

36

Summary

SAP is a highly innovative company

We are removing hard drives and relational databases

Processing is going to in-memory

SAP HANA can do all this today

First we will move all data warehouses to HANA, then all

ERP systems

HAHA is much more than ECC and SAP BW (current tools)

HANA is a paradigm shift with lower operating costs

HANA is available today and is being implemented at hundreds of companies in regular industries right now.

37

Questions and Answers

Dr. Berg

Bberg@Comerit.com

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