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Introduction for SAP HANA :

Introduction for SAP HANA


SAP HANA What is HANA ? Why the Need for HANA? - IT and Business Why Use HANA ? What is the Reasons Companies Use HANA?

Technology Basics:

Technology Basics Key Terminology HANA Architecture The Heart of SAP HANA In Memory Computing Engine What is in Memory HANA Column storage VS Row Based Storage Multiple Engines What is Ad-Hoc Analysis

Applying SAP HANA:

Applying SAP HANA Where I can Use HANA Use Cases for HANA Key takeaways about HANA

SAP HANA Platforms:

SAP HANA Platforms

What is SAP HANA?:

What is SAP HANA? SAP HANA is the Latest in-memory analytics Product. Using HANA, Companies can do ad hoc analysis of large volume of big data in real time. SAP HANA is completely re- imagined platform for real tome business. SAP HANA Transforms Businesses by streamlining transactions, analytics, planning and predictive data processing on a single in-memory data base so business can operate in real time.

Why the Need for SAP HANA:

Why the N eed for SAP HANA IT Challenges : “ Big Data” Volume growing and challenge for real-time access to operational Enterprise systems. Costly for IT to purchase and maintain hardware to handle increasing data volume. Dissatisfied Business Users. Processing and analysis results delayed. Data Not in Real time.

Why the Need for SAP HANA:

Why the Need for SAP HANA Business Challenges : Inadequate access to real-time operational Information Need to react faster to events impacting business Need to quickly uncover trends and patterns by functional users, Empower users/organizations. Need to improve business processes.


Why Use SAP HANA SAP HANA Enables business to make smarter, Faster decisions through real-time analysis and Reporting, combined with dramatically accelerated business processes. Lack of delay between insight and action turns Business into a “real time business”.

What is the Reasons why Companies choose SAP HANA :

What is the Reasons why Companies choose SAP HANA Speed : Manage Massive volumes at high speed. Agility : Enable real time interactions across value Chain Any Data : Gain Insights from Structured and Unstructured Data. Insight : Unlock new insights with predictive, complex analysis. Applications : Run Next generation Applications .

What is the Reasons why Companies choose SAP HANA :

What is the Reasons why Companies choose SAP HANA Cloud : Step up into next Advanced Platforms Innovation : Deploy ultimate platform for business innovation Simplicity : Manage fewer layers and Landscapes for lowest costs. Value : Innovate without disruption and add value to legacy investments. Choice : Work with preferred partner at every level.

Technology Basics:

Technology Basics Key Terminology : Aggregation BICS (Business Intelligence Consumer services) Business Objects Business Warehouse (BW) Compression Data Stripping In memory computing Engine (IMCE) Multi-Dimensions Expressions (MDX) Online Analytics Processing (OLAP) Partitioning Structured Query Language (SQL)

HANA nArchitecture:

HANA nArchitecture

The “Heart” of SAP HANA:

The “Heart” of SAP HANA A powerful and flexible data Calculation Engine. Support access via SQL and MDX for clients like SAP Business objects and Excel. Access Data from Virtually and Data source, including SAP BW Unified Information modelling Design environment. A data repository to persists views of business information. Data Services Functionality.

In-Memory Computing Engine:

In-Memory Computing Engine

What is In-Memory:

What is In-Memory In-memory means all the data is stored in the memory (RAM). There is no time wasted in loading the Data from hard disk to RAM, or while processing, keeping some Data in RAM and some data on Disk Temporarily. Everything is In-memory all the time, Which give the CPUs quick access to Data for processing.

SAP HANA Column Storage VS Row-Based Storage:

SAP HANA Column Storage VS Row-Based Storage

Multiple Engines:

Multiple Engines HANA has multiple Engines inside its Computing engine for better performance. HANA Supports Both SQL, OLAP Reporting tools; there are separate engines to perform operations respectively.

What is Ad-hoc Analysis?:

What is Ad-hoc Analysis? In Traditional Data warehouses, such as SAP BW, a lot of Pre-aggregations is done for quick results. The IT administrator decides which information might be needed for analysis and prepares the results for the end Users. Results in fast performance but the end user has no Flexibility. With SAP HANA and its speedy Engine, no pre-aggregation is required. The User can be perform any kind operation in reports and does not have to wait Hours to get the data ready for analysis in real time.


Where Can I USE SAP HANA Any Where There are large Volumes of Data. Aerospace & Defence Automotive Banking Chemical Consumer products Cross Industry Customer Services Top Functional Areas of Finance Data Usage Healthcare High Tech Insurance Industry Machinery & Components Life Sciences

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Manufacturing Marketing Media Mill products Mining Oil & Gas Professional Services. Public sector Top Functional Areas of Data Usage Retail Sales Supply chain Tele communications Transportations Utilities Wholesale Distribution

Use Cases for using SAP HANA:

Use Cases for using SAP HANA Sales Reporting (CRM) Financial reporting (FICO) Shipping Reporting (LE- SHP) Purchasing Reporting (P2P/SRM) Master Data Reporting (DG/MDM)

Key Takeaways about SAP HANA:

Key Takeaways about SAP HANA Empower Your Organizations Reduce reliance on IT resources Real-time Visibility to complete Data for transactions & analytics. Enable 360 degree view of your business. Real time analytics for operational Data Go from what happened yesterday to real time. Close to zero latency. Ability to leverage and analyze large volumes of data. Low Total Cost of Ownership (TCO) Non disruptive to existing enterprise data warehousing (EDW) Strategy Low TCO by leveraging the latest Technology and delivery as pre-configured appliance.

Modules in SAP HANA:

Modules in SAP HANA Financial Accounting Financial Supply chain Management (FSCM) Controlling (CO) Materials Management (MM) Sales and Distribution (SD) Logistics Execution (LE) Production planning (PP) Quality Management (QM) Plant Maintenance (PM) Project Systems (PS) Human resources (HR)

Thank You:

Thank You

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