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SAP HANA
Presented By
PRASUN SAHA
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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
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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
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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.
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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
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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
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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
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Architecture of SAP HANA
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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.
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Data Load Process in SAP HANA
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Data Load Process in SAP HANA (Contd.)
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Different Sectors where HANA can be applied
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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
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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
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Questions
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