step by step screenshots java export and import by using installation master

Prerequisites:

  • We have to maintain enough free space in both export and import server ie Source system & Target system.
  • During the import phase Target SAP system will be restarting few minutes.

Export:

Step 1:

Here we are going to export the java database by using installation master tool. In this case i am going to export NW 7.0 java database.

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Step 2:

Kindly navigate to below path to take java central instance export

2Step 3:

Provide the profile directory path

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Step 4:

Provide OS level password ie.Domain\SIDADM

4Step 5:

5Step 6:

Provide export location make sure that location must have contain enough free space

Approximately Export will occupy ~2GB

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Step 7:

Before proceed further make sure that you have provided correct information.

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Step 8:

Now we have to monitor space in export location. Kindly watch status bar which contains live demo of java central instance export.

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Finally java exported successfully.

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Import:

Step 1:

Now we have java export which is going to import into target system. PFB navigation.

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Step 2:

custom option will promote for all the parameter. Typical option is standard one.

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Step 3:

We need to download java component in service market place.

Java component NW 7.0–service.sap.com

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Step 4:

Provide JDK directory path.

14Step 5:

Same kind of process followed in java export. Here we need to mention profile path.

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Step 6:

16Step 7:

Provide both SIDADM & SAPservice ADM user id & Password

17Step 8:

Here after same kind of process.

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20We have to mention export content Location which is going to import into target system.

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Finally we have completed java export and import by using installation master tool.

Please revert if you need further help.

Thanks & Regards,

Sabarish Vasudevan.

 

 

 

 

 

 

OLAP vs OLTP

OLAP – ONLINE ANALYTICAL  PROCESSING

SAP BW enables Online Analytical Processing (OLAP) for the staging of information from large amounts of operative and historical data. OLAP technology permits multi-dimensional analyses according to various business perspectives.

At the core of any OLAP system is the concept of an OLAP cube (also called a ‘multidimensional cube’ or a hypercube). It consists of numeric facts called measures which are categorized by   dimensions .The cube metadata is typically created from a star schema or snowflake schema of tables  in a relational database.

The OLAP Area can be divided into three components :

1. BEx Analyzer

2. BEx Web Application

3. BEx Mobile Intelligence

OLTP – ONLINE TRANSACTION PROCESSING

Online transaction processing, or OLTP, refers to a class of systems that facilitate and manage transaction-oriented applications, typically for data entry and retrieval  transaction processing . OLTP has also been used to refer to processing in which the system responds immediately to user requests .The main emphasis for OLTP systems is put on very fast query processing, maintaining data integrity in multi-access environments and an effectiveness measured by number of transactions per second. In OLTP database there is detailed and current data, and schema used to store transactional databases is the entity model (usually 3NF).

In general we can say that OLTP provides source data to data warehouses and the OLAP is used to analyze it .So OLTP is also referred as Operative Environment and OLAP as Informative Environment.

DIFFERENCES BETWEEN OLAP and OLTP

 

OLTP System OLAP System
  Source of data Operational data; OLTPs are the original source of the data. Consolidation data; OLAP data comes from the
various OLTP Databases
 Purpose of data To control and run fundamental business tasks To help with planning, problem solving, and
decision support
Processing Speed typically Very Fast Depends on the amount of data involved; batch
data refreshes and complex queries may take
many hours; query speed can be improved by
creating indexes
Database Design Highly normalized with many tables Typically de-normalized with fewer tables; use of
star and/or snowflake schemas.
Backup and Recovery Backup religiously; operational data is critical to run the business,
data loss is likely to entail
significant monetary loss and legal liability
Instead of regular backups, some environments
may consider simply reloading the OLTP data as a
recovery method
Age Of Data Current Historical
Queries Relatively standardized and simple queries
Returning relatively few records
Often complex queries involving aggregations
Data Base Operations Add , Modify , Delete , Update and Read Read
What the data Reveals A snapshot of ongoing business processes Multi-dimensional views of various kinds of
business activities
Data Set 6 – 18 months 2 – 7 years