We recently had a Webinar on SAP HANA on 21st June 2017. Here are the key points which were covered in the Webinar: *What is SAP HANA? *SAP HANA Architecture. *Key benefits which can lead to SAP HANA as your backend database system. *Difference between SAP HANA and Traditional RDBMS. *Use Cases of SAP HANA Database system. *Technology basics of HANA database. *Limitations. Mr. Abhishek Sur, Solution Architect at APPSeCONNECT, was the speaker in the Webinar. This recorded webinar will give you knowledge on the working principles of SAP HANA database and also define mutual pros and cons of SAP HANA over traditional databases used previously. Check out the Recorded Webinar! Check out all the SAP B1 Integrations here: https://www.appseconnect.com/sap-business-one-integrations/ Check out all the SAP ECC integrations here: https://www.appseconnect.com/sap-ecc-integrations/

2. Solution Architect, InSync Solutions
Microsoft MVP
Presented By
Abhishek Sur

3. Agenda
• Introduction to SAP HANA
• Architecture
• Key benefits which lead to SAP HANA as backend database system.
• Difference between SAP HANA with other traditional RDBMS
• Few use Cases
• Column Store vs Row based storage
• Multiple Engines
• Limitations

4. Introduction
• SAP HANA is the in-memory analytic product which can help companies to do ad hoc analysis
of business data in real time.
• HANA is designed to deliver data in real time after analyzing large volumes of data.
• It is completely re-imagined for real time business.
• HANA transforms business by streamlining transaction, analytics, planning and predictive data
processing on a single in-memory database so that the business can operate in real time.
• SAP HANA is developed in C++ and runs on SUSE Linux Enterprise Server

5. SQL Passed either directly or using HANA Client Library
HANA Architecture

6. • This is the most important server that SAP HANA should have. This is
mandatory server component.
• Deals with Actual data stores and data processing engine
• Deals with Persistent storage to selectively store data and transaction
logs in background.
• Contains Processing engine which processes and validates SQL or MDX
statements in the context of authenticated session and transactions.
Index Server

7. SAP HANA Database Index Server

8. • This layer is to ensure durability and
atomicity of transactions
• Keeps track of committed state and writes to
disk.
• During restart this layer restores the most
recent committed transaction state and
clears uncommitted transactions.
• Capable of storing transaction logs during or
after transaction is committed or completely
undone.
• Relational data engine is responsible of
determining the storage mechanism of data.
• It either chooses Row store or Column store for
data storage.
Persistent Layer Relational Data Engine
Components

9. Connection and Session Management
• Authenticates a client to generate session.
• Maintains a set of parameters per session
like auto-commit, current transaction,
isolation level etc.
• Authentication based either by HANA
database itself or can be delegated to
external providers.
Authorization maangement
• Invoked by HANA to check whether the user has
required priviledges for requested resource.
• Allows to grant permission for operation or for
specific object to an user.
• Can also restrict by dimension attribute
Components

10. Planning Engine
• Planning engine is capable of
determining the data planning during
transformation.
• For example, during new year, the
planning engine can generate a copy of
the data object while applying filters.
• Determining different aggregation levels
Calc Engine
• Creates logical plan for calculation
during query execution.
• It creates calculation models from
domain specific models.
• The calculation engine is responsible
for accuracy of data.
Components

11. • Preprocessor server is used for analyzing textual data.
• For any request, the Preprocessor server analyses the data to
extract information from text data.
Pre-Processor Server

12. • Maintains System landscape information of the HANA System
• It handles the topology of the server for a distributed database.
• It decreases the time for re-indexing as it holds which data is on which server.
Name Server

13. • Checks and analyzes the health of all components in HANA.
• Statistical server is responsible for collecting data related to system
resources, allocation of resources, consumption of resources and also checks
overall performance of the system.
• It stores historical data related to system performance which can be fetched
for analysis purpose.
Statistical Server

14. • Best suited for Analytics data.
• Best in breed for In-memory computing
• Empowers business users as opposed to developer.
• Because most of the data reside in memory, it is said to be 3600 times faster than traditional databases.
• It is a popular choice as a backend for SAP systems.
• SAP HANA is also available in Cloud.
• Compression is in-built which reduces the space requirements dramatically in HANA.
Benefits of SAP HANA

15. HANA Database
• Entire data is loaded in memory
• Allows column based as well as row based data storage
• Support massive parallel processing.
• OLAP queries performs best in HANA.
• Performance is gained normally for analytical data
Traditional Database
• Entire data is stored in disk
• All data is in row based data storage.
• Generally only one core is responsible for one query execution.
• OLAP queries require to load all data to perform operation.
• Performance is gained by de-normalizing and redundancy of data for
analytical purposes.
Difference Between HANA
and Traditional Databases

16. Use Cases of HANA
Sales Reporting (CRM)
• Quickly identify top customers and
products by channel – with real –time
sales reporting. Improve order
fulfillment rates and accelerate.
• Key sales processes at the same time,
with instant analysis of credit memo
and billing list.
Financial Reporting (FICO)
• Obtain immediate insights across your
business into review, accounts payable
and receivable, open and overdue items.
• Top general ledger transaction and days
sales outstanding. Make the right
financial decision, armed with real time
information.
Purchase Reporting (P2P/SRM)
• Gain timely insights into purchase
orders, vendors, and the movement of
goods- with real time purchase
reporting.
• Make better purchasing decisions based
on a complete analysis of order
history.
Master Data Reporting
(DG / MDM)
• Obtain real time reporting on main
master data, including customer,
vendor, and material lists for
improved productivity and
accuracy.
Shipping Reporting (LE – SHP)
• Rely on real-time shipping reporting for
complete stock overview analysis. One
can better plan/monitor outbound
delivery.
• Assess and optimize stock levels – with
accurate information at one’s fingertip

17. Column Store
• All columnar data is stored in contiguous
location.
• Columnar store is read optimized.
• Only required data could be loaded. This
is called data stripping.
• Optimization of data could be made
based on data type of a particular column
Row Store
• Data from same row is stored in
contiguous location.
• Row store is write optimized.
• All record needs to be loaded while
primary key and indexes performs a vital
role.
• Optimization based on data type is not
possible.
Different storage options

18. • HANA has multiple engines inside its computing engine for better performance.
• HANA Supports both SQL & OLAP reporting tools, there are separate engines to
perform operation respectively.
• Each request is broken into multiple pieces and the same is sent to specific
engine for processing. The HANA SQL Engine acts as a controller to parse and
send the same to multiple engines for request processing.
Multiple Engines

19. Demo

20. • Its too expensive.
• You cannot hold a lot of data in it. It would not be practical. It is recommended
when data volume is less than 16 TB.
• SAP HANA have very strict hardware design guidelines, so you cannot your own
system architecture to install SAP HANA.
• There is no way to migrate the data back to standard RDBMS from SAP HANA.
• There is no PITR (Point in time recovery) option available.
Disadvantages of using SAP HANA

21. Thank you
For more such webinars ,visit :
WWW.appseconnect.com/webinars
/appseconnect /InSyncSolutions/company/insync