hristo shtarbov, presales expert cvst | sap hana platform ...mkoch/20160202_database... · 2/2/2016...

Digitale Transformation mit SAP HANA

Customer

Hristo Shtarbov, Presales Expert CVST | SAP HANA Platform

SAP Deutschland SE & Co. KG

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

The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the

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and SAP's strategy and possible future developments, products and or platforms directions and functionality are all

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All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

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Legal disclaimer


Agenda

SAP Data Management Portfolio

SAP HANA

SAP ASE

SAP IQ

SAP Replication Server

Diskussion


SAP Data Management Simplify and Innovate with end-to-end Data Management

Event Processing Engine

SAP ESP SAP ASE Transactional DBMS

SAP HANA Vora Contextual Awareness

SAP SQLA Mobile & embedded

RDBMS

SAP IQ Data warehouse DBMS

SAP Data Integration Data Replication, ETL &

Quality

SAP HANA

In-memory platform

Integration

Services Database

Service

Application

Services

Real-Time Low TCO Mission-Critical

SAP HANA


SAP HANA Platform Ranked as a Leader in The Forrester Research

Wave™: In-Memory Database Platforms, Q3 2015

“SAP’s razor-sharp focus on in-memory technology

is paying off.” – Noel Yuhanna, Forrester

SAP HANA Platform earned the highest score of any

vendor in strategy and current offering

SAP is the only company to earn a 5/5 score for vision

SAP is the only company to receive a 5/5 score for data

management features and transaction capabilities

SAP also earned a 5/5 for execution, market presence,

customers, partners, revenue, performance and

scale and analytics support

Source: The Forrester WaveTM: In-Memory Database Platforms, Q3 ’15


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

SAP HANA: The Platform for all Applications Comprehensive services to make information available to any application

Smart Data Quality Series Data Functional Libraries

SAP HANA Platform

Application Services

Web Server | JavaScript | Fiori UX | Application Lifecycle Management

Integration Services

Database Services

In-Memory Columnar | Parallelization | Compression | Multitenant Database Containers | Dynamic Tiering

| |

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).

Graph* Planning** Text Analytics Search Spatial Predictive | | | | | | Text Mining

Smart Data Integration Smart Data Streaming Smart Data Access | | Remote Data Sync | Hadoop Integration |

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

Tables

Web IDE

Eclipse IDE

Inform. Views

Code

Repository

JPA

JDBC

ADO.NET

ODBC openSQL

Applikationsserver

ODBO

MDX

ABAP JAVA C++, .NET

(C#, VB) MDX

Client

Client (Browser, Mobil)

Text Analysis / GeoSpatial

In-Memory

Data Engine

Appl. Func. Libraries / Time Series / Rules / R

SAP HANA – the platform for next generation IT Standard Interfaces

Dynamic Tiering

3rd Party

OData

Client (Browser, mobil)

Extended

Application Services

[Micro Services Runtime ]

Smart Data Streaming

Smart Data Integration

Smart Data Access

Smart Data Quality

Remote Data Sync

SE80

MS Visual Studio

SAP BI Suite

SAP ASE


A Track Record of Success

• Used by SAP in 60+ Core Business

Applications

• ASE is #1 in Performance for SD

Benchmark on Linux 2 & 4 socket

systems

• 200 SAP ASE Patents Filed & 150

Patents Pending

Gartner Magic Quadrant for

Operational Database

Management Systems

SAP operational databases in the Gartner

analysis include:

SAP HANA,

SAP ASE, and SAP SQL Anywhere

> 30,000 > 9,000 SAP Business Suite on SAP ASE

As of H1’ 2015

90% Customers World-Wide

of the world’s top global banks

and securities use SAP ASE


Customers Achieve Business Value Trusted for reliable and affordable extreme transaction processing

30% - 40% Faster than competitive

RDBMS

2 MILLION Transactions per minute

1 BILLION Transactions daily

In Healthcare On Wall Street In Telco


SAP ASE Yields Significant Savings

1 Calculating the True Cost of RDBMS Ownership and How SAP ASE Stacks Up: A Guide for SAP Business Suite Users,

Carl Olofson and Randy Perry, IDC Corporation, December 2011.

SAP ASE Five-Year Savings per 100 Users:

$128,580 1 On average, companies in

the study estimated the total

cost for SAP ASE to be 28%

less than the total cost

of other RDBMSs they are

using, which will save them

about $129,000 per 100

users over five years.1

29%

24%

31%

26%

39%

28%

Hardware – servers

Hardware – storage

Software

IT staffing

Downtime

Total

(% savings versus other RDBMSs)

0 20 30 40 10


First true client /

server OLTP

RDBMS

Open server gateway

SDK to heterogeneous

data

In-database OLTP:

stored procedures and

triggers

Native DBMS

threading

Mobile-to-RDBMS

bi-directional

synchronization

Virtualized resources:

named caches &

buffer pools

Log-based

transactional

replication

Federated heterogeneous

data access, transparent to

applications

Oracle

replication

First OLTP

RDBMS

on Linux


SMP CPUs for OLTP & mixed

workloads

Microsoft

replication

Mainframe

DB2

replication

DB2/UDB

replication

Column-based

encryption,

transparent to

applications

Pre-parsed

XML storage in

OLTP RDBMS

1987 1992 1997 2002 2007 2012 Fully compatible

in-memory

OLTP RDBMS


clustered OLTP

nodes Hybrid

OLTP kernel for

modern processors

SAP ASE – A long history of innovation Globally distributed, heterogeneous data, resource efficiency & management

Replication to

Message

Buses

JAVA in the

Database

Dynamic

compression of

both structured and

unstructured data

See Appendix for abbreviations


The SAP ASE Difference Superior Price/Performance for Transactional Systems

Used for more 25 years in highly demanding, mission-critical OLTP

environments, 30,000 customers worldwide Proven

For extreme transactional systems, with enterprise-grade throughput

and unconstrained scalability Performance

69% less downtime than other databases with advanced capabilities

for zero-downtime environments Reliable

Resource-efficient and easier to use, resulting in long-term TCO that is

40% better than alternative RDBMSs Affordable

Part of SAP’s unified platform for data management, enabling new classes

of business applications and value Innovative


Cloud Ready Flexible deployment, on demand capacity

BYOL:

Enterprise Edition on

Linux & Window,

runtime on all

platforms, Developer

Edition on Windows &

Linux

Developer

Edition

BYOL Enterprise

Edition on

Windows

HCP

Enterprise

Edition and

Developer

Edition on all

platforms

HEC

Enterprise

Edition on all

platforms

SAP IQ


2200 + Customers

96% Customer satisfaction

rating

4500 Installations

SAP IQ: Market Leader for Extreme-Scale EDW and Analytics

http://www.digiturk.com.tr/


SAP IQ: Market Leader for Extreme-Scale EDW and Analytics

High performance analytics server

Columnar RDBMS (stores data in columns- versus rows)

Optimized for managing and accessing massive amounts

of data for analytics (versus transactions)

Accelerates analytics and reporting

Up to 1000-times faster than traditional transactional

databases

Handles structured and unstructured data

High compression and low TCO

Highly scalable grid architecture

• Used by twice as many companies as the next leading provider

• Patented data compression dramatically reduces data storage requirement; cuts TCO

• Only column-based solution to support full text search, in-database analytics, and federated analytics

• 96%+ customer satisfaction rates

• Leader, 2012 Gartner Magic Quadrant for Data Warehouse DBMS


SAP IQ 16 A complete platform for XLDB analytics

Ecosystem

Most mature

column store

Comprehensive

lifecycle tiering

MPP queries + virtual

marts + user scaling

High-speed

loads

Structured +

unstructured store

Comprehensive ANSI

SQL with OLAP

Built-in full-text

search

In-database analytics with

MapReduce + simulator Web 2.0 APIs Big data OpnSrc APIs

Optimized BI and EIM;

model and replicate

Development and

administration tools Predictive analytics

Packaged ILM

applications

Bradmark, Symantec,

Whitesands, Quest,

and ZEND

SAS, SPSS, KXEN,

Fuzzy Logix, Zementis,

and Visual Numerics

BMMSoft,

SOLIX, and PBS

SAP Sybase PowerDesigner,

SAP Sybase Replication

Server,

SAP, ISYS, and Panopticon

App. services

DBMS Hadoop and

R


SAP IQ 16 Versatile application services for big-data analytics

Application services In-database analytics – plug-ins: SQL, C++, and JAVA

Web services API

Programming APIs Python • Microsoft.net • PERL • PHP • Ruby-on-rails • JAVA • C/C++

SAN Fabric

PlexQ™ framework:

– Comprehensive ANSI SQL including ANSI 2008 specifications

– In-database analytics – plug-ins: SQL, C++, and JAVA for data mining and statistical analysis

– In-database Web services with SOAP API

– Query and data federation via SQL queries

Multilingual client APIs: C, JAVA, PHP, PERL, Python, Ruby-on-rails, and ADO.NET


SAP IQ 16 Unique, user community–focused platform for XLDB analytics

Data discovery (data scientists)

Application modeling (business analysts)

Reports and dashboards (BI programmers)

Business decisions (business end users)

Infrastructure management

(DBAs)

• Dynamic, elastic PlexQ MPP grid

– Grow, shrink, and provision on demand

– Use heavy parallelization

• Load, prepare, mine, and report in a workflow

– Privacy through isolation of resources

– Collaboration through sharing of results and data via shared resources

Full-mesh, high-speed interconnect

SAN fabric


Hadoop Hive: Join data from SAP IQ and Hadoop Hive via ODBC

Load Hadoop data into column store of

SAP IQ: Extract, transform, and load data from Hadoop distributed file

system (HDFS) into schemas of SAP IQ

ETL

Join HDFS data with data of SAP IQ on the fly: Fetch and join subsets

of HDFS data on demand, using SQL queries from SAP IQ (data

federation technique)

Combine results of Hadoop MapReduce (MR) jobs with SAP IQ data

on the fly: Initiate and join results of MR jobs on demand using SQL

queries from data in SAP IQ (query federation technique)

1.

2.

3.

4.

Hadoop integration With external file systems (Hadoop distributed file system)

SAP Replication Server


SAP Replication Server Improved recovery, timely decisions, real-time synchronization, big data applications

Replication Server is a high-performance transactional data movement product that

synchronizes and replicates data across the extended enterprise. It guarantees data delivery,

zero operational downtime, and non-intrusive data handling.

Delivers Transactional Data in Real-time

• Across geographical and business boundaries

• Insuring Transactional Integrity and Data Consistency

Accelerates Data Availability

• For Recovery

• For Access

Enables

• Business Continuity

• Active Insights


SAP Replication Server Product Portfolio

See appendix for expansion of acronyms

Change data capture Replication engine Routing & distribution

Rep Agent

Primary

Sources:

• SAP HANA

• SAP ASE

• Oracle

• MS SQL Server

• IBM DB2/UDB

Targets:

• Hadoop Hive

• SAP HANA

• SAP ASE

• SAP IQ

• SAP ESP

• SAP Data Services

• Oracle

• Microsoft SQL Server

• IBM DB2/UDB

Transformation

Message

Repository

Rules Engine

Administration &

Monitoring

In-b

ou

nd C

on

ne

ctivity T

arg

et D

B C

on

ne

ctiv

ity

Catalog DB

Exceptions and limitations apply. Please check user documentation for end-to-end source and target database certification.

DATA ASSURED

Hadoop


SAP Replication Server Customer needs and the value propositions of the product

Tokyo New York London

Order Entry

Mfg Financial Apps

Sales Support

Data Distribution

SAP Replication

Server

WAN

Vancouver

WAN

WAN

Primary Data Center

Berlin

Operations

DB High Availability/

Disaster Recovery

SAP Replication

Server

Active Warm Standby

London

Operations

Real-Time Reporting

(data consolidation)

SAP Replication

Server

Reporting & Analytics

Transactional Data

Real-Time Replication

for Big Data

ASE Oracle

Proactive/Predictive

Analytics

Transactional Data

SAP Replication

Server – Hive Connector

Hadoop

Hive


Planned Innovations: Big Data Support Real-Time transactional replication support for NoSQL databases (MongoDB and Cassandra)

PLANNED INNOVATIONS

This is the current state of planning and may be changed by SAP at any time.

Transactional data movement for Big Data business applications

Proactive and Predictive Analytics

Users can run their reporting applications against MongoDB and Cassandra

Hadoop Hive File System (HDFS) Streaming API

ORACLE

ASE

SAP Replication

Server

Hadoop

HIVE

MongoDB

Cassandra


Future Direction: Big Data Support

FUTURE DIRECTION

This is the current state of planning and may be changed by SAP at any time.

ORACLE

MySQL

ASE

SAP Replication

Server

Hadoop

HIVE

MongoDB

Cassandra

Twitter, flat files, etc.

Teradata MySQL


SAP Adaptive Server Platform Edition Simplified packaging

Perpetual Right To Deploy

SAP Adaptive Server Platform Edition

Security and Directory Services

Compression

Encryption

Partitions

VLDB Mgt

Advanced Security

Including

or or

Target

Source

ASE

IQ

Data Services

HANA

Hadoop

ASE

HANA

SAP Replication Server Premium Edition

• Repurpose licenses across projects

• Convert licenses for other Platform

Edition products

Deployment Flexibility Business Agility

• Resize/re-architect landscapes in response to market

conditions, peak periods, or new business demands

• Lower capacity of one product and increasing capacity

in another

Lower Costs / TCO

• Include several formerly chargeable options

• Decrease license costs for future projects

SAP IQ SAP ASE Including

“If I had asked people what

they wanted, they would

have said faster horses.”

Henry Ford

Vielen Dank

Kontaktinformation:

Hristo Shtarbov, Presales Expert in CVST | SAP HANA Platform Mail: [email protected]

Tel: +49 174 978 5736


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