Introduction to SAP HANA.pptx

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SAP HANA

Presented By

PRASUN SAHA

Copyright © 2008 Accenture All Rights Reserved. 2

Introduction to SAP HANA

What is SAP HANA (High Performance Analytical Appliance) ?

• Innovative applications based on in-memory technology where everything combined in a single box

• BI solution from SAP to analyze and for reporting large DW information.• Appliance for processing high volumes of transactional data in real time

and provide real time result• Flexible, data source agnostic, cost effective • Perform analyses based on all data from operational applications, Keep

analytic environments connected to operational applications


Benefits of SAP HANA

Below are the list of benefits of SAP HANA

• Get fast, flexible, and detailed data to answer question from DW• Better decisions more quickly by gaining immediate access to all

relevant information• Enable business users to quickly create flexible analytic models that

uncover trends and patterns• Reuse existing analytical tools to create insightful dashboards and

reports• Provides immediate access to relevant information – and requiring far

less reliance on IT to gain the insight needed.• Can process structured and unstructured data


Why SAP HANA

Below are the main reasons behind evolution of SAP HANA

• Highly-competitive business climate • Immediate access to and analysis of, all operational data• To react quickly to changing market conditions• Large volume of operational data • Inadequate access to the full spectrum of information needed• Limited Disk based system• Unacceptable lag times between gathering data and the insight into

that data.


Features in SAP HANA

• In Memory computing Engine• In memory computing studio as a front end for modelling and

administration. • HANA is connected with ERP systems• Relational Data stores in HANA - Row Store, Column Store • SAP BOBJ tools can directly report HANA • Persistency Layer• Two processing engines


Technology Innovations in HANA

HW Technology Innovations:

• 64bit address space • 100GB/s data throughput • Multi-Core Architecture (8 x 8core CPU per blade)• Massive parallel scaling with many blades• One blade ~$50.000 = 1 Enterprise Class Server

SAP SW Technology Innovations:

• Row and Column Store• Compression• Partitioning• Massive parallel processing• Insert Only on Delta


SAP HANA Data Distribution

• RAM locality – data gets spread out to all available cores

• MPP execution – blades share nothing when crunching large data sets

• Failover - Individual blades may fail without causing Problems


Architecture of SAP HANA


SAP in-memory computing engine

• Single database with native support for row and columnar data stores, providing full ACID (atomicity, consistency, isolation, durability) transactional capabilities.

• Powerful and flexible data calculation engine.• SQL and MDX interfaces.• Unified information modeling design environment.• Data repository to persist views of business information• Data integration capabilities for accessing SAP (SAP NetWeaver BW,

ERP, etc.) and non-SAP data sources.


Data Load Process in SAP HANA


Data Load Process in SAP HANA (Contd.)


Different Sectors where HANA can be applied


Key Features

• Real-time analytics: Analyze business operations using huge volumes of detailed information while business is happening

• Multipurpose, in-memory technology: Instantly explore and analyze all transactional and analytical data in real time from virtually any data source

• Adaptable, powerful analytic models: Create flexible views that expose analytic information at the speed of thought

• Extensive, source-agnostic data access: Add external data to analytic models to incorporate data from across

the entire organization


Key Features (Contd.)

Business Benefits:

• Real-time business insight by analyzing business operations as they happen

• Better decisions more quickly by gaining immediate access to all relevant information

• Greater analytic flexibility through less reliance on IT• Dramatically reduced hardware and maintenance costs through a

flexible, cost effective,• real-time approach for managing large data volumes• Improved planning, forecasting, and financial close processes by

employing analytic models that uncover trends and patterns


Questions


Documents

Introduction to SAP HANA.pptx