WHY SAP Real Time Data Platform - RTDP

Big Data in Real-TimeUğur CANDANSAP Turkey - Chief Operating [email protected]

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Youtube in-memory database





















Technology today requires tradeoffA breakthrough in today’s information processing architecture is needed

DEEPComplex & interactive questions

on granular data

BROADBig data,

many data types

HIGH SPEEDFast response-time,

interactivity

SIMPLENo data preparation, no pre-aggregates,

no tuning

DEEPComplex & interactive questions

on granular data

SIMPLENo data preparation, no pre-aggregates,

no tuning

REAL -TIMERecent data, preferably real-

time

HIGH SPEEDFast response-time,

interactivity

OR


Supports any Device

Any AppsAny App Server

SAP Business Suite and BW ABAP App Server

JSONR Open ConnectivityMDXSQL

Other AppsLocationsReal-timeHADOOPMachineUnstructuredTransaction

SAP HANA Platform

SQL, SQLScript, JavaScript

Integration Services

Spatial

Business Function Library

Search Text Mining

Predictive Analysis Library

DatabaseServices

Stored Procedure & Data Models

Planning Engine Rules Engine

Application & UI Services

SAP HANA Platform – More than just a database

SAP HANA Platform Converges Database, Data Processing and Application Platform Capabilities & Provides Libraries for Predictive, Planning, Text, Spatial, and

Business Analytics to enable business to operate in real-time.


Dünyanın en büyük in-memory veritabanı sistemi – Santa Clara, CA

250 HANA sunucusu | 250TB Ana Bellek | 10,000 x86 Core


Breakthrough solutions from startups & ISVsA single platform powering next generation of applications

Platform to imagine new generation of applications

Simple consumption model – lowering barriers to entry

Rapid commercialization of innovation

Industry solutions - Healthcare, Capital Markets

Consumer and enterprise applications

www.startups.saphana.com (700+ Startups & ISVs)

DRIVING ADOPTION RECENT PROJECTS

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C4.5decision tree

Weighted score tables

Regression

ABC classification

Spatial, Machine,

Real-time data

Hadoop/ Sybase IQ,

Sybase ASE, Teradata

Unstructured

PAL

R-scripts

SQL ScriptOptimized Query Plan

Main Memory

Virtual Tables

Spatial Data

R-Engine

KNN classification

K-means

Associate analysis:

market basket

Text Analysis

SAP HANA

HANA Studio/AFM,

Apps & Tools

Predictive Analytics & Machine Learning Transforming the Future with Insight Today

Accelerate predictive analysis and scoring with in-database

algorithms delivered out-of-the-box.

Adapt the models frequently

Execute R commands as part of overall query plan by

transferring intermediate DB tables directly to R as vector-

oriented data structures

Predictive analytics across multiple data types and sources.

(e.g.: Unstructured Text, Geospatial, Hadoop)


Innovation Previously InfeasiblePredict and analyzes game player behavior in real-time

Real-time insights, analysis, and consumer engagement for increased revenue and decreased churn


Simplicity Previously UnachievableeBay Early Signal Detection System powered by Predictive Analytics

Automated signal detection system to proactively respond to real-time market dynamics


Product: Agile Datamart

Business Challenges

Lack of real-time insights into POS data make it difficult to create effective, tailored sales promotions and marketing campaigns

Need shorter response time for customer segmentation to plan sales campaigns

Technical Challenges

Inability to process big data (billions) POS records quickly because of high latency and static reporting

Shop floor staff not able to access relevant information on-the-fly, with iPad

Benefits

Real-time insights into POS data improve customer satisfaction and merchandising

Dynamic personalized offerings while customer is at store or on web site

250 million POS sales order line items

10-12 minute sales campaign planning (not possible before)

100,000x faster sales analysis – from 3 days to 2-3 seconds

Yodobashi - POS Data Analizi

12,000 Staff with 3,200 pure scientist, 650,000 patients/year, 1,4 B€ revenue

500,000 data points from each cancer patient. Instant patient data analysis during treatment


Mitsui Knowledge IndustryHealthcare industry – Cancer cell genomic analysis

408,000x faster than traditional disk-based systems in technical PoC

216x faster DNA analysis results - from 2,5 days to 20 minutes

Thank you

WHY SAP Real Time Data Platform - RTDP

Technology

sap ag

data processing

data preparation

interactivitybig data

data typessimple

data points

instant patient data

real time recent data