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Lesson Posted on 24 Feb IT Courses/SAP/SAP HANA

Hana Slt End To End Implementation Document

Harsh Sharma

I am working with SAP LABS from past 12 years and having vast experience in lot of SAP technologies and...

1. What is SLT (SAP Landscape Transformation Replication)? SLT is the SAP first ETL tool that allows you to load and replicate data in real-time or schedule data from the source system and Non-Source System into SAP HANA Database. SAP SLT server uses a trigger-based replication approach to pass data... read more

1. What is SLT (SAP Landscape Transformation Replication)?

SLT is the SAP first ETL tool that allows you to load and replicate data in real-time or schedule data from the source system and Non-Source System into SAP HANA Database.

SAP SLT server uses a trigger-based replication approach to pass data from source system to target system.

SLT server can be installed on the separate system or on SAP ECC System.

2. Benefit of SLT system is as below:

  • Allows real-time or schedule time data replication.
  • During replicating data in real-time, we can migrate data in SAP HANA Format.
  • SLT handles Cluster and Pool tables.
  • This support automatically non-Unicode and Unicode conversion during load/replication. (Unicode is a character encoding system similar to ASCII. Non-Unicode is encoding system covers more character than ASCII).
  • This is fully integrated with SAP HANA Studio.
  • SLT have table setting and transformation capabilities.
  • SLT have monitoring capabilities with SAP HANA Solution Manager.

3. Architecture Overview of SAP SLT server with SAP / Non-SAP System is as below:

i. AP SLT Connection Architecture overview between SAP System and SAP HANA

ii. SAP SLT Replication Server transforms all metadata table definitions from the ABAP source system to SAP HANA.

iii. For SAP source, the SLT connection has the following features:

  • When a table is replicated, SAP SLT Replication server create logging tables in the source system.
  • Read engine is created in the SAP Source System.
  • The connection between SAP SLT and SAP Source is established as RFC connection.
  • The connection between SAP SLT and SAP HANA is established as a DB connection.

iv. A database user with the same authorization as user "SYSTEM" can create a connection between SAP SLT and SAP HANA Database.

SLT (SAP Landscape Transformation Replication Server) in SAP HANA

v. SAP SLT Connection between SAP System and SAP HANA DATABASE

vi .SAP SLT Server automatically create DB connection for SAP HANA database (when we create a new configuration via transaction LTR). There is no need to create it manually.

4. Configure SAP SLT Server for SAP Source System:

First we need to configure SAP SLT replication server for connection between SAP Source and SAP HANA database. T-code, LTR is used for creating a connection between SAP Source and SAP SLT.

Step 1) Login to SAP SLT server, and Call transaction "LTR" from SAP SLT replication server.

SLT (SAP Landscape Transformation Replication Server) in SAP HANA

A Web-dynpro pop-up screen will appear for login to SAP SLT server.

  1. Enter Client / User id / password
  2. Click on logon tab

    SLT (SAP Landscape Transformation Replication Server) in SAP HANA

    A pop-up screen for Configuration will appear as below:

    SLT (SAP Landscape Transformation Replication Server) in SAP HANA

    Click on "New" Button for the new configuration.

Step 2) In this step,

 
  1. Enter Configuration name and description.
  2. Select SAP System as the source system.
  3. Enter RFC connection for SAP System.
  4. Enter Username / Password / Host Name and Instance number.
  5. Enter Job options detail:
  • No. of data Transfer Jobs.
  • No. Of calculation jobs.
  1. Select Replication option as Real Time.
  2. Once all the settings are maintained click on 'OK' to create a new schema in SLT.

SLT (SAP Landscape Transformation Replication Server) in SAP HANA

A Configuration Name "SLTECC" will be added and active.

SLT (SAP Landscape Transformation Replication Server) in SAP HANA

After configuration SAP SLT server successfully, SAP SLT Server automatically create DB connection for SAP HANA database (when we create a new configuration via transaction LTR). There is no need to create it manually.

In next step, we import data to SAP HANA from SAP Source.

5. Import SAP Source Data to SAP HANA through SLT:

Once we have successfully configured SAP SLT server, a SCHEMA as configuration name above in SAP SLT is created in SAP HANA Database.

This Schema contains following objects:

  1. 1 Schema: SLTECC.
  2. 1 User: SLTECC.
  3. 1 Privileges
  4. 8 Tables
  • DD02L (SAP Tables Name )
  • DD02T (SAP Table Texts)
  • RS_LOG_FILES
  • RS_MESSAGE
  • RS_ORDER
  • RS_ORDER_TEXT
  • RS_SCHEMA_MAP
  • RS_STATUS.
  1. 4 Role:
  • SLTECC_DATA_PROV
  • SLTECC_DATA_POWER_USER
  • SLTECC_DATA_USER_ADMIN
  • SLTECC_DATA_SELECT
  1. 2 Procedures:
  • RS_GRANT_ACCESS
  • RS_REVOKE_ACCESS

All configuration is completed, now we load a table from SAP ECC (ERP Central Component).

Step 1) To load tables from SAP ECC to SAP HANA database, follow below steps:

  1. Go to Data provisioning from Quick View.
  2. Select SAP HANA System.
  3. Click on Finish Button.

SLT (SAP Landscape Transformation Replication Server) in SAP HANA

Step 2) A screen for SLT Based Table Data Provisioning will be displayed. There are 5 options for data provisioning as below:

Provision Option
Detail
Load (Full Load) This is a one-time event, which starts an initial load of data from source system.
Replicate(Full Load + Delta Load) It start initial load (if not done earlier), and also consider delta change. Database trigger and related logging table will be created for each table.
Stop Replication It stops the current replication process for a table. It removes database trigger and logging table completely.
Suspend It pause a running replication process of a table. The database trigger will not be deleted from the source system, and recording of changes will continue. Related Information is stored in the related logging table in the source system.
Resume Resume restarts the replication for a suspended table. After resume, the suspended replication process will resume.

We use the first option from the table "Load option" for initial load of the table (LFBK) data from source to SAP HANA table.

Step-by-step is as below:

  1. Source and Target system details are selected according to SAP SLT configuration.
  2. Click on Load Button and select the table (LFBK) which we need to load/replicate in SAP Hana.
  3. Table (LFBK) will be added to Data Load Management Section with Action "Load" and Status "Scheduled."

SLT (SAP Landscape Transformation Replication Server) in SAP HANA

After data load, Status will be changed to "Executed". The table will be created in "SLTECC" schema with data.

Step 3) Check Data in the table (LFBK) by Data Preview from Schema "SLTECC" as below:

  1. Login in SAP HANA Database through SAP HANA Studio and select SAP HANA System HDB (HANAUSER).

SLT (SAP Landscape Transformation Replication Server) in SAP HANA

  1. Select Table (LFBK) under Table node.
  2. Right click on Table (LFBK) and click on Open data preview option.
  3. Loaded Data through SLT process will be displayed in Data preview screen.

SLT (SAP Landscape Transformation Replication Server) in SAP HANA

Now we have successfully loaded data in table "LFBK". We will use this table future in Modelling.

6. SAP SLT Connection between non-SAP System and SAP HANA:

SAP SLT Replication Server transforms all metadata table definitions from the non-ABAP source system to SAP HANA.

For Non-SAP source, the SLT connection has following features:

  • When a table is replicated, SAP SLT Replication server create logging tables in the source system.
  • Read engine is created in the SAP SLT Replication server.
  • The connection between SAP SLT and SAP Source / SAP HANA is established as a DB connection.

    SLT (SAP Landscape Transformation Replication Server) in SAP HANA

    SAP SLT Connection between Non - SAP SLT Connection and SAP HANA System/DATABASE

    SAP SLT can only do simplest transformations, so for complex transformations, we need another ETL tool such as SAP Data services.
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Lesson Posted on 24 Feb IT Courses/SAP/SAP HANA

Top 15 SAP HANA Interview Questions & Answers

Harsh Sharma

I am working with SAP LABS from past 12 years and having vast experience in lot of SAP technologies and...

1) Mention what is SAP HANA? Ans. SAP HANA stands for High Performance Analytical Appliance- in-memory computing engine. HANA is linked to ERP systems; Frontend modeling studio can be used for replication server management and load control. 2) Mention the two types of Relational Data stored in... read more

1) Mention what is SAP HANA?

Ans. SAP HANA stands for High Performance Analytical Appliance- in-memory computing engine. HANA is linked to ERP systems; Frontend modeling studio can be used for replication server management and load control.

2) Mention the two types of Relational Data stored in HANA?

Ans. The two types of relational data stored in HANA includes

  • Row Store
  • Column Store

3) Mention what is the role of the persistence layer in SAP HANA?

Ans. SAP HANA has an in-memory computing engine and access the data straightaway without any backup. To avoid the risk of losing data in case of hardware failure or power cutoff, persistence layer comes as a savior and stores all the data in the hard drive which is not volatile.

4) Mention what is modeling studio?

Ans. Modeling studio in HANA performs multiple task like

  • Declares which tables are stored in HANA, first part is to get the meta-data and then schedule data replication jobs
  • Manage Data Services to enter the data from SAP Business Warehouse and other systems
  • Manage ERP instances connection, the current release does not support connecting to several ERP instances
  • Use data services for the modeling
  • Do modeling in HANA itself
  • essential licenses for SAP BO data services

5) Mention what are the different compression techniques?

Ans. There are three different compression techniques

  • Run-length encoding
  • Cluster encoding
  • Dictionary encoding

6) Mention what is latency?

Ans. Latency is referred to the length of time to replicate data from the source system to the target system.

7) Explain what is transformation rules?

Ans. Transformation rule is the rule specified in the advanced replication setting transaction for the source table such that data is transformed during the replication process.

8) Mention what is the advantage of SLT replication?

Ans. The advantage of SLT replication are:

  • SAP SLT works on trigger based approach; such approach has no measurable performance impact in the source system.
  • It offers filtering capability and transformation.
  • It enables real-time data replication, replicating only related data into HANA from non-SAP and SAP source systems.
  • It is fully integrated with HANA studios.
  • Replication from several source systems to one HANA system is allowed, also from one source system to multiple HANA systems is allowed.

9) Explain how you can avoid un-necessary information from being stored?

Ans. To avoid un-necessary information from being stored, you have to pause the replication by stopping the schema-related jobs

10) Mention what is the role of master controller job in SAP HANA?

Ans. The job is arranged on demand and is responsible for

  • Creating database triggers and logging table into the source system
  • Creating Synonyms
  • Writing new entries in admin tables in SLT server when a table is replicated/loaded

11) Explain what happens if the replication is suspended for a longer period of time or system outage of SLT or HANA system?

Ans. If the replication is suspended for a longer period of time, the size of the logging tables increases.

 

12) Mention what is the role of the transaction manager and session?

Ans. The transaction manager co-ordinates database transactions and keeps a record of running and closed transactions. When transaction is rolled back or committed, the transaction manager notifies the involved storage engines about the event so they can run necessary actions.

13) Explain how you can avoid un-necessary logging information from being stored?

Ans. You can avoid un-necessary logging information from being stored by pausing the replication by stopping the schema-related jobs.

14) Explain how SQL statement is processed?

Ans. In the HANA database, each SQL statement is implemented in the reference of the transaction. New session is allotted to a new transaction.

15) Name various components of SAP HANA?

Ans. The various components of SAP HANA are:

  • SAP HANA DB
  • SAP HANA Studio
  • SAP HANA Appliance
  • SAP HANA Application Cloud.
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Lesson Posted on 24 Feb IT Courses/SAP/SAP HANA

SAP HANA SQL Stored Procedure Tutorial

Harsh Sharma

I am working with SAP LABS from past 12 years and having vast experience in lot of SAP technologies and...

A procedure is a unit/module that perform a specific task. This procedure can be combined to form larger programs. This basically forms the 'Modular Design'. A procedure can be invoked by another procedure which is called the calling program. Procedures are re-useable processing block with a specific... read more

A procedure is a unit/module that perform a specific task. This procedure can be combined to form larger programs. This basically forms the 'Modular Design'. A procedure can be invoked by another procedure which is called the calling program.

Procedures are re-useable processing block with a specific sequence of data transformation. The procedure can have multi-input/output parameters. The procedure can be created as read-only or read-write.

An SQL Procedure can be created at:

  • At Schema Level(Catalog Node)
  • At Package Level(Content Node)

Stored Procedure syntax in SAP HANA is as shown below:

SYNTAX

CREATE PROCEDURE  [()] [LANGUAGE ]    
        [SQL SECURITY ] [DEFAULT SCHEMA ]
        [READS SQL DATA [WITH RESULT VIEW ]] AS
        {BEGIN [SEQUENTIAL EXECUTION]
							
        END        
        | HEADER ONLY }
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Lesson Posted on 24 Feb IT Courses/SAP/SAP HANA

SAP HANA Architecture, LandScape, Sizing: Complete Tutorial

Harsh Sharma

I am working with SAP LABS from past 12 years and having vast experience in lot of SAP technologies and...

SAP HANA Database is Main-Memory centric data management platform. SAP HANA Database runs on SUSE Linux Enterprises Server and builds on C++ Language. SAP HANA Database can be distributed to multiple machines. SAP HANA Advantages are as mentioned below - SAP HANA is useful as it's very fast... read more

SAP HANA Database is Main-Memory centric data management platform. SAP HANA Database runs on SUSE Linux Enterprises Server and builds on C++ Language.

SAP HANA Database can be distributed to multiple machines.

SAP HANA Advantages are as mentioned below -

  • SAP HANA is useful as it's very fast due to all data loaded in-Memory and no need to load data from disk.
  • SAP HANA can be used for the purpose of OLAP (On-line analytic) and OLTP (On-Line Transaction) on a single database.

SAP HANA Database consists of a set of in-memory processing engines. Calculation engine is main in-memory Processing engines in SAP HANA. It works with other processing engine like Relational database Engine(Row and Column engine), OLAP Engine, etc.

Relational database table resides in column or row store.

There are two storage types for SAP HANA table.

  1. Row type storage (For Row Table).
  2. Column type storage (For Column Table).

Text data and Graph data resides in Text Engine and Graph Engine respectively. There are some more engines in SAP HANA Database. The data is allowed to store in these engines as long as enough space is available.

In this tutorial, you will learn:

  • SAP HANA Architecture

  • SAP HANA Landscape

  • SAP HANA Sizing

SAP HANA Architecture:

Data is compressed by different compression techniques (e.g. dictionary encoding, run length encoding, sparse encoding, cluster encoding, indirect encoding) in SAP HANA Column store.

When main memory limit is reached in SAP HANA, the whole database objects (table, view,etc.) that are not used will be unloaded from the main memory and saved into the disk.

These objects names are defined by application semantic and reloaded into main memory from the disk when required again. Under normal circumstances SAP HANA database manages unloading and loading of data automatically.

However, the user can load and unload data from individual table manually by selecting a table in SAP HANA studio in respective Schema- by right-clicking and selecting the option "Unload/Load".

SAP HANA Server consists of:

  1. Index Server
  2. Preprocessor Server
  3. Name Server
  4. Statistics Server
  5. XS Engine

    SAP HANA Architecture, LandScape, Sizing: Complete Tutorial

  1. SAP HANA Index Server:

    SAP HANA Database Main server are index server. Detail of each server is as below:

  • It's the main SAP HANA database component
  • It contains actual data stores and the engine for processing the data.
  • Index Server processes incoming SQL or MDX statement.

Below is the architecture of Index Server.

SAP HANA Architecture, LandScape, Sizing: Complete Tutorial

 

SAP HANA Index Server overview:

  • Session and Transaction Manager: Session Component manage sessions and connections for SAP HANA database. Transaction Manager coordinates and control transactions.
  • SQL and MDX Processor: SQL Processor component queries data and send to them in query processing engine i.e. SQL/SQL Script / R / Calc Engine. MDX Processor queries and manipulates Multidimensional data (e,g. Analytic View in SAP HANA).
  • SQL / SQL Script / R / Calc Engine: This Component executes SQL / SQL script and calculation data convert in calculation model.
  • Repository: Repository maintain the versioning of SAP HANA metadata object e.g.(Attribute view, Analytic View, Stored procedure).
  • Persistence layer: This layer uses in-built feature "Disaster Recovery" of SAP HANA database. Backup is saved in it as save points in the data volume.
  1. Preprocessor Server:

This server is used in Text Analysis and extracts data from a text when the search function is used.

  1. Name Server:

This Server contains all information about the system landscape. In distributed server, the name server contains information about each running component and location of data on the server. This server contains information about the server on which data exists.

  1. Statistic Server:

Statistic server is responsible for collecting the data related to status, resource allocation / consumption and performance of SAP HANA system.

  1. XS Server:

XS Server contains XS Engine. It allows external application and developers to use SAP HANA database via the XS Engine client. The external client application can use HTTP to transmit data via XS engine for HTTP server.

SAP HANA Landscape:

"HANA" mean High Performance Analytic Appliance is a combination of hardware and software platform.

  • Due to change in computer architecture, the more powerful computer is available in terms of CPU, RAM, and Hard Disk.
  • SAP HANA is the solution for performance bottleneck, in which all data is stored in Main Memory and no need to frequently transfer data from disk I/O to main memory.

Below are SAP HANA Innovation in the field of Hardware/Software.

SAP HANA Architecture, LandScape, Sizing: Complete Tutorial

There are two types of Relational data stores in SAP HANA: Row Store and Column Store.

Row Store:

  • It is same as Traditional database e.g. (Oracle, SQL Server). The only difference is that all data is stored in row storage area in memory of SAP HANA, unlike a traditional database, where data is stored in Hard Drive.

Column Store:

  • Column store is the part of the SAP HANA database and manages data in columnar way in SAP HANA memory. Column tables are stored in Column store area. The Column store provides good performance for write operations and at the same time optimizes the read operation.

Read and write operation performance optimized with below two data structure.

SAP HANA Architecture, LandScape, Sizing: Complete Tutorial

Main Storage:

Main Storage contains the main part of data. In Main Storage, suitable data compression Method (Dictionary Encoding, Cluster Encoding, Sparse Encoding, Run Length encoding, etc.) is applied to compress data with the purpose to save memory and speed up searches.

  • In main storage write operations on compressed data will be costly, so write operation do not directly modify compressed data in main storage. Instead, all changes are written in a separate area in column storage known as "Delta Storage."
  • Delta storage is optimized for a write operation and uses normal compression. The write operations are not allowed on main storage but allowed on delta storage. Read operations are allowed on both storages.

We can manually load data in Main memory by option "Load into Memory" and Unload data from Main memory by "Unload from Memory" option as shown below.

SAP HANA Architecture, LandScape, Sizing: Complete Tutorial

Delta Storage:

Delta storage is used for a write operation and uses basic compression. All uncommitted modification in Column table data stored in delta storage.

When we want to move these changes into Main Storage, then use "delta merge operation" from SAP HANA studio as below:

SAP HANA Architecture, LandScape, Sizing: Complete Tutorial

  • The purpose of delta merge operation is to move changes, which is collected in delta storage to main storage.
  • After performing Delta Merge operation on sap column table, the content of main storage is saved to disk and compression recalculated.

Process of moving Data from Delta to Main Storage during delta merge:

SAP HANA Architecture, LandScape, Sizing: Complete Tutorial

There is a buffer store (L1-Delta) which is row storage. So in SAP HANA, column table acts like row store due to L1-delta:

  1. The user runs update / insert query on the table (Physical Operator is SQL statements.).
  2. Data first go to L1. When L1 moves data further (L1- Uncommitted data)
  3. Then data goes to L2-delta buffer, which is column oriented. (L2- Committed data)
  4. When L2-delta process is complete, data goes to Main storage.

So, Column storage is both Write-optimized and Read-optimized due to L1-Delta and main storage respectively. L1-Delta contains all uncommitted data. Committed data moves to Main Store through L2-Delta. From main store data goes to the persistence layer (The arrow indicating here is a physical operator that send SQL Statement in Column Store). After Processing SQL Statement in Column store, data goes to the persistence layer.

E.g. below is row-based table:

SAP HANA Architecture, LandScape, Sizing: Complete Tutorial

Table data is stored on disk in linear format, so below is format how data is stored on disk for row and column table -

In SAP HANA memory, this table is stored in Row Store on disk as format:

SAP HANA Architecture, LandScape, Sizing: Complete Tutorial Memory address

And in Column, data is stored on disk as:

SAP HANA Architecture, LandScape, Sizing: Complete Tutorial Memory address

Data is stored column-wise in the linear format on the disk. Data can be compressed by compress technique.

So, Column store has an advantage of memory saving.

SAP HANA Architecture, LandScape, Sizing: Complete Tutorial

SAP HANA Sizing:

Sizing is a term which is used to determine hardware requirement for SAP HANA system, such as RAM, Hard Disk and CPU, etc.

The main important sizing component is the Memory, and the second important sizing component is CPU. The third main component is a disk, but sizing is completely dependent on Memory and CPU.

In SAP HANA implementation, one of the critical tasks is to determine the right size of a server according to business requirement.

SAP HANA DB differ in sizing with normal DBMS in terms of:

  • Main Memory Requirement for SAP HANA (Memory sizing is determined by Metadata and Transaction data in SAP HANA).
  • CPU Requirement for SAP HANA (Forecast CPU is Estimated not accurate).
  • Disk Space Requirement for SAP HANA (Is calculated for data persistence and for logging data)

The Application server CPU and application server memory remain unchanged.

For sizing calculation SAP has provided various guidelines and method to calculate correct size.

We can use below method:

  1. Sizing using ABAP report.
  2. Sizing using DB Script.
  3. Sizing using Quicksizer Tool.

By using Quicksizer tool, Requirement will be displayed in below format-

SAP HANA Architecture, LandScape, Sizing: Complete Tutorial

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Answered on 07 Mar IT Courses/SAP/SAP HANA IT Courses/SAP/SAP BW

I am SAP BW consultant, with many new technologies and upgrades. What is future of SAP BW? Do I need... read more

I am SAP BW consultant, with many new technologies and upgrades. What is future of SAP BW? Do I need to move to SAP HANA o will there be scopes for SAP BW/4 HANA going forward?

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Pragim Technologies

You need to migrate to Hana.
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Asked on 01/12/2017 IT Courses/SAP/SAP BO 4.0 IT Courses/SAP/SAP HANA IT Courses/SAP/SAP Business Objects/SAP Business Objects Data Services

Hi all, I have 6+ years of experience on SAP BO administration. I want to change my profile to any other... read more
Hi all, I have 6+ years of experience on SAP BO administration. I want to change my profile to any other technology. Please help me to understand what would be a good option for me whether SAP HANA administration or BODS administration or any other? read less

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Answered on 11/12/2017 IT Courses/SAP/SAP S/4 HANA IT Courses/SAP/SAP HANA

Hi, I am an SAP BASIS Consultant with 5 years experience and I am looking to learn SAP S4 HANA. Would... read more
Hi, I am an SAP BASIS Consultant with 5 years experience and I am looking to learn SAP S4 HANA. Would it be a good choice or which other module would suit me best / easier to learn? read less

Harini Mathuku

Trainer

Hello, I would suggest you to learn SAP HANA because 2020 its leading in Market. If you are interested i can arrange demo class
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Answered on 22/10/2017 IT Courses/SAP/SAP HANA IT Courses/SAP/SAP BW IT Courses/SAP/SAP Financial management products/SAP FICO

Kindly suggest me what SAP module should I go with? Currently I am working as SAP BPC Consultant with... read more
Kindly suggest me what SAP module should I go with? Currently I am working as SAP BPC Consultant with 3 years of in SAP FSCD module and ABAP, I am an engineer with MBA. I am looking for a good career options in SAP, however I am not sure to what module should I get into.Which will be beneficial for my career growth. I heard BPC does not have a good future as HANA is taking over everything. I have no experience in FICO or HANA or BW. Kindly suggest me what should I go with and how can you help me in this process? read less

Sabitri Panda

SAP HR Trainer

Hi Yes as you know everything is rulling over cloud computing.. You can go with any cloud based module.. As technically you already know, you can also go for functional part so that u become Techno functional consultant..in functional part successfactor is grooming so you can opt that. Thanks Sabi...
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Answered on 08/10/2016 IT Courses/SAP/SAP HANA

Shivaraj Pb

SAP FI&CO, MM, SD Corporate, Real Time , Online and Freelance Workers

Now a days SAP HANA was booming it created lots of job opportunities, SAP only can create better growth and opportunity and moreover you will get nice salary compare to another industries.
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