dmm105 15586 antonellot 1

Public

Anthony (Tony) Antonello / Global HANA Centre of Excellence

DMM105 A Synopsis of SAP Data Movement Strategies for HANA

2014 SAP SE or an SAP affiliate company. All rights reserved. 2 Public

Disclaimer

This presentation outlines our general product direction and should not be relied on in making a

purchase decision. This presentation is not subject to your license agreement or any other agreement

with SAP. SAP has no obligation to pursue any course of business outlined in this presentation or to

develop or release any functionality mentioned in this presentation. This presentation and SAP's

strategy and possible future developments are subject to change and may be changed by SAP at any

time for any reason without notice. This document is provided without a warranty of any kind, either

express or implied, including but not limited to, the implied warranties of merchantability, fitness for a

particular purpose, or non-infringement. SAP assumes no responsibility for errors or omissions in this

document, except if such damages were caused by SAP intentionally or grossly negligent.


Agenda

1. Overview of SAP Data Movement & Transformation Strategies for HANA

2. Real Time Data Movement Strategies

1. SAP ESP (Event Stream Processor) Into HANA

o DEMO - ESP (Streaming) into HANA demo

2. SAP LT Replication Server (SLT) Into HANA

o DEMO SLT (Replicaton Server) into HANA demo

3. SAP SRS Into HANA

o DEMO - SRS (Replication) into HANA demo

3. Batch Data Movement Strategies

1. SAP DXC (Direct eXtractor Connection) into HANA

2. SAP HANA Studio Bulk Loader

o DEMO HS Bulk Loader

4. Data Synchronization into HANA

1. SAP Mobilink into HANA

o DEMO - Mobilink (Synchronization) into HANA

5. Data Movement with Transformation

1. SAP Data Services into HANA

o DEMO Data Services and SRS (CDC) into HANA

Overview of SAP Data Movement &

Transformation Strategies for HANA


An Enterprise Worth of Data

SAP HANA In-memory

Platform


SAP Data Movement and Transformation for HANA

SAP Event Stream Processing (ESP) Analyze and act on fast moving data

SAP Landscape Transformation (SLT) Designed to work with SAP Netweaver

SAP Replication Server (SRS) Can create complex replication landscapes

SAP Mobilink Designed for occasionally connected replication

Data Services (DS) Data cleansing and transformation prior to loading

Direct eXtractor Connection (DXC) Loading from SAP sources using DataSource extractors

Hana Studio Bulk Loader Load external data in flat file format into an SAP HANA database

Integration Feature Data Sources

Streaming Data Data Feeds, SCADA

Replication (Triggers) RDBMS

Replication (T-Log) RDBMS

Synchronization Ultralite, SQL

Anywhere

Transformation and

Loading

Structured and Un-

structured data

Application Data

Extractors

SAP Applications

Bulk Loaders Flat Files

SAP Data Movement Strategies

REAL TIME DATA MOVEMENT STRATEGIES

SAP ESP (Event Stream Processor) Into HANA


Our World is Full of Simple EventsAnything Can Happen

Plane Landing Lightning Strike

Barcode Scanned

Temperature Reading

Transaction Created

Stock Price Change


Insight from EventsAggregation in Time

Time Window

Raw Events

We look at the stream of events

watching for pre-defined patterns or

trends over a period of time.

We generate an alert (complex event) if the

required pattern is detected.

Temperature is dropping for 5 mins

More than 100 parcels are delayed for 10 mins

Time


ESP - SAP Event Stream Processor

Event Stream

Processor

Unlimited number of input streams

Incoming data is processed as it arrives, according

to the business logic defined using Data Flow

Authoring tools

Send output to apps, dashboards

Query on demand

Capture data in SAP HANA or Sybase IQ for

historical analysis

?

INPUT

STREAMS

Market Data

Transactions

Sensors

Alerts

Applications

Studio

(Authoring)

Reference

Data

SAP HANA,

Sybase IQ

Dashboard

Message

Bus


ESP Key Terms and Concepts Basics of data-flow programming in Event Stream Processor

Data-Flow Programming

ESP uses data-flow programming for processing event streams.

Events

A business event is a message that contains information about an actual business event that occurred. Many business systems produce streams of such events as things

happen.

ESP Projects: Streams, Windows, Adapters, and Continuous Queries

Is like an application, consisting of a set of event streams, any other required data sources, and business logic applied to incoming event data to produce results.

Streams and Windows

Both streams and windows process events. The difference is that windows have state, meaning they can retain and store data, while streams are stateless and cannot.


ESP Key Terms and Concepts Basics of data-flow programming in Event Stream Processor

Data-Flow Programming

ESP uses data-flow programming for processing event streams. Define a set of event streams and the connections between them, and apply

operations to the data as it flows from sources to outputs

Breaks a potentially complex computation into a sequence of operations with data flowing from one operation to the next


Data Flow Authoring


How ESP Can Be Used With HANA

ESP SAP HANA 1

2

1

1

2

Event

Streams

High speed smart capture (via SAP HANA Output Adapter): ESP can apply logic

to transform, filter, aggregate, enrich incoming event streams and capture data

in HANA over a million events per second

ESP can query HANA to provide context for processing incoming events

ESP publishes alerts or triggers response process

3

3

Alerts

Dashboard

Applications


Further ESP Information

Watch SAP d-code Online

www.sapcode.com/online

Related ESP d-code Sessions

DMM110 SAP HANA Streaming Introduction to Continuous Queries

DMM119 Installing and Configuring an SAP HANA Streaming Server in Your Landscape

DMM121 Integration Scenarios for Stream Processing with the SAP HANA Platform

DMM165 Incorporating Real-Time Event Stream Processing into SAP HANA Applications

DMM268 SAP Event Stream Processor and SAP Replication Server

Demo

ESP Into HANA License Plate Scanning


Roadside License Plate Reader Streaming into HANA


Roadside License Plate Reader Streaming into HANA

DMV

Plate scans

and speed

SAP Sybase ESP

Tickets

SAP HANA In-memory

Platform

REAL TIME DATA MOVEMENT

STRATEGIES

SAP LT Replication Server (SLT) Into HANA


Enable real-time replication within your entire landscape

SAP LT Replication Server

Read Engine

Mapping & Transformation Engine

Write Engine

SAP HANA Appliance

SAP HANA

DB

In-Memory S

AP

HA

NA

Stu

dio

BI Client

non-ABAP (SAP supported DBs)

SAP

Business

Suite

SAP

Business

Suite

SAP

Business

Suite SAP

Business

Suite (>=4.6c)

SAP

Business

Suite

SAP

Business

Suite

SAP

Business

Warehouse

SAP HANA

DB

In-Memory

Source Systems SAP LT Replication Server Target Systems

real time real time

non-ABAP (SAP supported DBs)

Data Services

4.2 SP1


SAP HANA Application Tables

Data replication via DB trigger based on

change capturing concept

Unlimited release coverage (from SAP R/3 4.6C onwards)

Automatically non-Unicode to Unicode conversion

during load/replication

Handling of cluster and pool tables

Table settings and transformation capabilities (e.g. data

filtering, enrich table structure, scramble data, etc.)

Fast data replication via DB connection,

integration into SAP HANA Studio

SAP HANA Studio

ABAP Source System SAP LT Replication Server Target Systems

SAP Business Suite

Application table Logging table

DB trigger

Read Engine

Read Engine


Write Engine


RFC

Connection

DB

Connection

Architectural Concept 1/2 Replication from ABAP source system


SAP LT Replication Server transfers all metadata table definitions from the non-ABAP source system to the HANA system. From the HANA Studio perspective, non-SAP

source replication works the same as for SAP sources. When a table replication is started, SAP LT Replication Server creates logging tables in the source system. The

read engine is created in the SAP LT Replication Server. The connection the non-SAP source system is established as a database connection.

SAP HANA Application Tables

Non-ABAP System


DB trigger

Non-ABAP Source System SAP LT Replication Server Target Systems


Read Engine


Write Engine DB

Connection

DB

Connection

Architectural Concept 2/2 Replication from non-ABAP source system

SAP HANA Studio


Application Tables

Efficient implementation of data

replication via DB trigger

based on change capturing concept

Highly scalable and reliable replication

process, including comprehensive data

transformation capabilities on the fly

Fast data replication via DB connection.

ABAP Source System SAP LT Replication Server non-ABAP Target System

SAP Business Suite


DB trigger

Read Engine

Read Engine


Write Engine


RFC

Connection

DB

Connection

ABAP to non-ABAP Replication Architectural Concept

Non-ABAP

Start of

replication has to

be executed via

LTRC


Setup, Execution & Monitoring of a Replication

Setup Replication Execute Replication Monitor Replication

New guided procedure to create a

configuration between source and

target system.


SAP HANA

DB

In-Memory

SAP HANA

Studio

Start the replication for the relevant

tables via SAP HANA Studio.


SAP HANA system Source systems

System A

System B

Schema 1 Schema 2

Source systems are connected to

separate HANA schema on the

same HANA system

SAP HANA system Source systems

System A

System B Schema 1


same HANA system and also the

same schema

SAP HANA systems SAP Source system

Schema 1

Schema 2 System A

SAP source system is connected

to separate HANA systems or to

the same system with different

schema name.

Multi System Support

SAP HANA systems Source systems

System A

System B

Schema 1

Schema 2


separate HANA systems. Schema

name can be equal or different


DB

Connection RFC/DB

Connection

Data and Structure Transformation Capabilities

Target System SAP LT Replication Server Source system

Reduce Number

of Records

by Filter


Conversion

of Data


Adjustment of

Target Table Structures (i.e. extension/reduction/change of table

structure and/or adjustment of technical

table Setting

Replicating certain data only Only data of specific years, departments, clients, etc. should be used in HANA.

To make certain fields anonymous i.e. HR reporting To fill initial fields To convert units or currency, and recalculate amounts and values using coded rules

Remove fields that are required in the HANA system Additional fields are required (for example can be calculated/filled during load/replication) Merging the same table (i.e. MARA) from different systems (and create an additional field, for example a client field in order to avoid duplicate entries)

Transformation

of Data

DB

Connection RFC/DB

Connection

DB

Connection RFC/DB

Connection


Further LT Replication Information




DMM108 Real-Time Data Replication with SAP Landscape Transformation Replication Server

DMM263 SAP Landscape Transformation Replication Server Real-Time Data Integration

DMM844 Road Map Q&A: SAP LT Replication Server (SLT) realtime replication and CDC

CR701 SAP Landscape Transformation Replication Server Performance Boost

CR702 SAP Landscape Transformation Replication Server Replacing SAP BW Extractors

DMM300 SAP Business Warehouse Data Provisioning from SAP and Non-SAP Sources

DMM360 SAP BW 7.40 Data Provisioning from SAP and Non-SAP Sources

Demo

LT Replication Into HANA ERP


LT from ERP into HANA

REAL TIME DATA MOVEMENT

STRATEGIES

SAP SRS Into HANA


SAP Replication Server Real-time data, delivered reliably, enterprise-wide

SAP Replication Server is a real-time, low-impact, replication solution with enterprise-level features for both SAP and non-

SAP databases and applications. It securely, reliably, and rapidly moves data across multiple data sources in real time to

deliver:


Product Architecture

Change Data Capture Replication Engine Routing & Distribution

Primary

Sources*:

SAP HANA SAP ASE Oracle MS SQL Server IBM DB2/UDB IBM DB2/OS390

Targets*:

SAP HANA SAP ASE SAP IQ SAP ESP SAP Data Services Oracle Microsoft SQL Server IBM DB2/UDB IBM DB2/OS390 Message Bus

Transformation

Message Repository

Rules Engine

Administration &

Monitoring

In-b

ou

nd

Co

nn

ectivity(L

TL

) T

arg

et D

B C

on

ne

ctiv

ity

Catalog DB

Replication

Agent

Secondary

Replication

Server

Replication

Server

* Please check user documentation for end-to-end source and target database certification


SRS Components

Replicate

Queues

Rep Agent

Primary

Rules Engine

Message Repository

Change Detection

Catalog/Control DB

RSSD

Stable Devices

ECDA Gateway

Sybase ASE

Oracle

MS SQL

IBM DB2/OS390

IBM DB2/UDB

RepConnector

Sybase ASE

HANA

Sybase IQ

Oracle

MS SQL

IBM DB2

Any ODBC

MQ, JDBC,

MSMQ, etc.

Sybase Control Center Monitoring

Route

Replication Server

Replication Server


SRS Replication into HANA


RCL Used to Define Source and Target Mappings

From source

To target


Further Replication Server Information




DMM113 SAP Replication Server Usability Enhancements

DMM209 Real-Time Heterogeneous Replication with SAP Replication Server

DMM211 HADR for SAP Business Suite on SAP ASE with SAP Replication Server

DMM212 Real-Time Transactional Replication for SAP Business Suite into SAP HANA

DMM213 SAP ASE and SAP Repllication Server with SAP Business Suite

DMM217 SAP Replication Server for Hadoop

DMM222 SAP Replication Server Performance Tuning and Troubleshooting

DMM262 SAP HANA Replication Using SAP Replication Server


Further Replication Server Information - continued




DMM268 SAP Event Stream Processor and SAP Replication Server

DMM269 Real-Time Change Data Capture with SAP Data Services and SAP Replication Server

DMM807 Road Map Q&A: SAP Replication Server Technical

Demo

SRS Into HANA Book Store Analytics


ASE

Primary DB

ASE

Replicate DB

HANA

Replicate DB

Transformation

Message Repository

Rules Engine

Administration & Monitoring

LT

L C

onnection

EC

H

Catalog DB

ECH accesses HANA is via

HANA odbc driver

SAP HANA In-memory

Platform

Topology


Replication Test using rs_ticket

40

BATCH DATA MOVEMENT STRATEGIES

SAP DXC (Direct eXtractor Connection)

into HANA


SAP HANA Direct Extractor Connection (DXC)

DXC provides low TCO data acquisition for SAP HANA leveraging existing

delivered foundations for data models oCustomer projects may face significant complexity in modeling entities in SAP Business Suite

systems

oData from some areas in SAP Business Suite systems needs application logic to appropriately

represent business documents

oSAP Business Content DataSource Extractors have been available for many years as a basis for data

modeling and data acquisition for SAP BW; customers want a simple, low-TCO data acquisition

mechanism to use SAP Business Content DataSource Extractors in SAP HANA data mart scenarios

o In many use cases, batch-driven data acquisition is sufficient (e.g. every 10 min)

oDXC became generally available with SAP HANA SP4


SAP Delivered Business Content DataSource Extractors

SAP Business Suite

Proprietary Extraction Technology

Application based change data capture (aka delta capabilities)

Extractors are application based and take data from the context of the application itself

Extraction is event/process driven and (in some cases) is accomplished with publishing new or changed data in ERP based Delta Queues for receiving systems (e.g. BW or HANA)

Extract structures can easily be enhanced using append structures

Transformations can be implemented at the time of extraction using Business Add Ins (BADIs)

Extract Structures based on entities in the Business Suite

Asynchronous, mass data capable extraction


SAP HANA DXC Overview

SAP ERP

Extractor

DataSource (flat structure)

ERP data

Embedded BW

DataSource

PSA

generic data transfer

InfoCubes

Data Store Objects

InfoObjects

generic data transfer

SAP HANA

Data load into HANA activation queue

Separate activation step

Scheduled batch jobs

Activation

Queue

Active version

In memory DSO

Status

Activation

Processing

Data flow redirected from embedded

BW: transferred over http connection

Data models in HANA are built

using active data table of In-

Memory DataStore object


business documents master data

transactional data master data attributes master data text master data hierarchy

Transactional data Master data Texts Hierarchies

ERP & R/3 900 700 2300 100 4000

CRM 160 280 700 40 1180

SRM 30 30 60 10 130

Others 360 210 330 30 930

GRC 20 30 120 10 180

1470 1250 3510 190 6420

Thousands of SAP Business Content DataSources Exist

Totals


SAP Business Suite DataSource Extractors Example from Sales Order Item Content

HANA Data Models - virtual

SAP HANA

SAP ERP

Application Tables

Sales Order

Communication Structure

Setup Table

Update Methods

Update Mode

DataSource for transactional data

2LIS_11_VAITM

In-Memory Data Store Object Tables:

Active table: /BIC/A 2LIS_11_VAITM00

Activation Queue table: /BIC/A 2LIS_11_VAITM40

Transfer Structure

Extract Strukture MC11VA0ITM

Application logic

Activation Processing

Data flow redirected from embedded BW

BATCH DATA MOVEMENT

STRATEGIES

SAP HANA STUDIO BULK LOADER


1. The IMPORT FROM statement imports

external data from a file into an existing

table

2. Can append contol features on the Import

statement or use a control file to specify

file characteristics

3. Can be run from any HANA editor (HANA

Studio SQL Editor, hdbsql)

4. Data files must reside on the HANA Server

Control File

HANA Table

Flat File HANA SQL

Import cmd

Import into HANA using SQL Import Command


1. Uses a rich data mapping toolset within

HANA Studio

2. Data files can reside on the client host or

the HANA server

3. The target table can already exist, or be

created by the import

4. Broad array of schema objects beyond flat

files

Import into HANA using SQL Import Command


Further HANA Studio Data Provisioning




DMM271 Developing Custom Adapters Using the SAP HANA Data Provisioning Adapter SDK

Demo

Import using HANA Studio and hdbsql


Importing into HANA with hdbsql and HANA Studio

DATA SYNCHRONIZATION

SAP MOBILINK INTO HANA


What is Mobilink?

1. A bi-directional synchronization

technology for large scale mobile (IoT)

database deployment o Remote database (mobile, embedded, or workgroup

database server)

o Consolidated database (enterprise, workgroup, or

desktop database)

2. A server that processes synchronization

requests from SAP mobile databases

(SQLAnywhere and Ultralite)

3. Maintains the integrity of transactions

across the entire synchronization process.

HANA, DB2

ASE, IQ, MSSQL

Oracle, MySQL,

SQLAnywhere

Consolidated

Database

Communication Infrastructure

(Internet / Wireless)


Mobilink Synchronization

1. MobiLink uses system tables in the Consolidated

database to store

o Synchronization scripts

o Synchronization progress & status information

o Synchronization User information

2. A Database Object in the Remote Database data to be

synchronized is Published

3. During synchronization MobiLink progresses through

a series of events synchronization scripts that direct

the data flow during the process

4. Written in the native SQL of the Consolidated

Database

5. MobiLink uses ODBC to connect to the Consolidated

DB


MobiLink SQLAnywhere Synchronization

HANA

MobiLink

Ultralite or

SQLAnywhere

Remote

ODBC

dbmlsync

1. Upload

2. Download

3. Ack Download

1. Upload

SQLAny or UltraLite keep track of all changes since previous synchronization

All changes are sent in a single upload stream

MobiLink applies changes in a single transaction

2. Download

Scripts in the consolidated database determine changes that need to be downloaded

All changes are sent in a single download stream

3. Acknowledge download

Optional


DBMLSYNC

Synchronization is initiated by a client application

via the dbmlsync utility from SQL Anywhere

Remote databases

TCP/IP, SSL HTTP/HTTPS ActiveSync

Reads the Database engine transaction log

Builds an upstream with the a summary of the

changes to the specific publication since the last

synchronization

Applies the downstream from the MobiLink server

to the Remote Database


SQL Anywhere Architecture Scenario Remote Sync

Remote Sync

Synchronize HANA database with SQL Anywhere/Ultralite databases

running on smart systems, kiosks,

intelligent appliances, and mobile

devices

MobiLink Server

ODBC Driver

ODBC/Network interface

Database Server

HANA

MobiLink Server

Machine

HANA

Server Machine

SQL Anywhere Server or UltraLite Server

MobiLink Client

Remote

Machines

Database

File

Database API

Application

SQL Anywhere/UltraLite Interface API

HANA

Network

DMZ

Machine

Firewall

Firewall

Web Server Relay Server


Further SQL Anywhere and Mobilink Information




DMM106 Introduction to SAP SQL Anywhere

DMM114 Synchronizing Data in SAP HANA Using SAP SQL Anywhere

DMM116 From Raspberry Pi to SAP HANA SAP SQL Anywhere and the Internet of Things

Demo

Telematics Demo


Architecture

On board

SAP HANA Cloud

Platform


Vehicle Fleet Management with SAP HANA and SAP SQL Anywhere

DATA MOVEMENT WITH

TRANSFORMATION

SAP DATA SERVICES INTO HANA


SAP Data Services and HANA RTDP

SAP Data Services provides batch Data Integration. It offers HANA optimized capabilities for Transforming,

Cleansing* and Integrating (bulk or delta) structured and unstructured* data from many different Sources

(SAP and non-SAP) to the Target (SAP HANA)


SAP Data Services Source Connectivity Broadens Enterprise Data Access

HANA

Tables

views

Oracle

DB2

Sybase ASE

Sybase IQ

SQL Server

Informix

MySQL

Teradata

ODBC

Netezza

SAP Bus Suite Extractors

ABAP

BAPI

Idoc

SAP NW BW

JD Edwards

Oracle Apps

PeopleSoft

Siebel

Salesforce.com

SuccessFactors

Text delimited

Text fixed width

EBCDIC

XML

Cobol

Excel

HTTP

JMS

Web Services

HADOOP

ADABAS

ISAM

VSAM

Enscribe

IMS/DB

RMS

Both direct and changed data

Extracts context from any text or binary file types (docs, pdfs, ppts)

Understands context in 31 languages

Databases Applications Files/Transport Mainframe (with partner) Unstructured

Content

SAP Data Services has a long history of providing broad connectivity to databases,

applications, legacy systems, file formats

PAM info posted at:

https://service.sap.com/sap/support/pam?hash=s%3Ddata%2520services%26o%3Dmost_viewed%257Cdesc%26st%3Dl%26rpp%3D20%26page%3D1%

26pvnr%3D01200314690900003943%26pt%3Dg%257Cd


For typical database

targets, Data

Services transformations are

done in the DS engine and then

loaded into the target

database

Source Target

Extract Transform Load

E-T-L moves to E-L-T How Data Services Leverages HANA for Transformations


For HANA, DS

stages data and then

pushes the execution of any

transformation to

HANA and creates

Calculation Views for

execution and

consumption HANA

HANA as Target Source

Extract Load Transform

E-T-L moves to E-L-T How Data Services Leverages HANA for Transformations


Data Services for HANA and RTDP Enhancements with Data Services 4.1+

Additional Sources Support with Data Services

HANA stored procedures, calculation, attribute, and analytical views as a Source

Optimized Hadoop extraction and loading

SuccessFactors source and target

Binary files (PDF, Doc) and 31 additional languages supported for Text data processing

Loading Performance

50% improvement in loading flat file and database to HANA (via DS-HANA pipe)

Increased E-L-T and push down optimizations

Sybase IQ support for bulk updates and binary format data transfer

10x improvement in BW extract and load to HANA, Sybase

Parallelized reading from Business Content Extractors

Modeling, Metadata, and Repository

New Eclipse DS Workbench for very fast, simplified data movement into HANA

Full support for HANA views for metadata impact and lineage analysis

HANA as a repository for Data Services and Information Steward


Integrated Data Movement Strategy

SAP SLT / Sybase Rep Server + Data Services

Common runtime environment provides

enriched CDC data provisioning across SAP

ERP and non-SAP data replication

Enables changed data sharing between SAP Sybase Rep Server, SAP SLT, and Data Services

Leverage native CDC reading from Rep Server and SAP SLT

With the

Complex data transformation and data quality management of Data Services

Complex Operational Data

Note: SAP SLT & DS integration is targeted for 4.2 SP1 release, ~Q4 2013

New

with 4.2


Data Services Designer

drag-n-drop tables,

files, transforms

from Local Object

Library onto Work

Canvas

Work Canvas

click-n-drop

objects from

Palette onto

Work Canvas

click-n-drag from

source point to target

point to create link

Double-click to drill

into object/transform.

(All objects/transforms

are movable)

Normal/Best practice for

flows to be Left-Right


Further Data Services Information




DMM269 Real-Time Change Data Capture with SAP Data Services and SAP Replication Server

DMM805 Road Map Q&A: SAP Data Services

DMM104 Whats New in SAP Data Services

Demo

Bookstore BI into HANA Demo


Bookstore BI into HANA demo

Question ?


SAP d-code Virtual Hands-on Workshops and SAP d-code Online Continue your SAP d-code education after the event!

SAP d-code Online

Access replays of keynotes, Demo Jam, SAP d-code live interviews, select lecture sessions, and more!

Hands-on replays

http://sapdcode.com/online

SAP d-code Virtual Hands-on Workshops

Access hands-on workshops post-event

Starting January 2015

Complementary with your SAP d-code registration

http://sapdcodehandson.sap.com


Further Information

SAP Education and Certification Opportunities

www.sap.com/education



SAP Public Web

scn.sap.com

www.sap.com


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dmm105 15586 antonellot 1

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