Oracle discoverer vs sap business objects

BI Tool Comparision, 
Oracle Discoverer Vs SAP Business Objects 
Semantic Layer comparision
SAP BO universe Vs oracle discoverer EUL,
oracle discoverer end user layer vs sap business objects Universe,
semantic layer comparision

 

Informatica Tranformation Example

Informatica Tranformation Example  For Peoplesoft ERP HR data.
1. Informatica Expression (Source to Target) 
2. Source Qualifier transformation 
3. Expression Transformation 
4. Informatica Language example use of IFF syntax. 
5. performance optimisation using Oracle DECODE function inside Expression transformation 
6. Hexadecimal to Decimal Conversion Logic

A day in Life of ETL Consultant

Consultant Analyses the business deeper to come up with star-schema design and further ETL load design,
Working as datawarehouse consultant most important task is to fix granularity of fact across dimensions to be analysed in FACT-DIMENSION Star schema design.
Granularity depends on business requirement and key drivers for business to be analysed for having its impact on Topline and Bottomline of Company. For Clinical Research key driver is No. of patient Enrolled, For banking key driver is cost of adding new customer,
Now patient is analyzed across geography dimension, against time dimension. But at what level of Granularity.
(#no of patient, day)   OR
(#no of patient, year)  OR
(#no of patient, hour)
This depends on business need and level of criticality to time. For Stock trading Every second is crucial but not for clinical trails but if trial involve enrollment of large public it may required a drill down to per day figure in BI reports hence provisions must be there in star schema.
Besides this The Other task per day can be taken based on stage of project
https://sandyclassic.wordpress.com/2014/02/19/a-day-in-life-of-datawarehouse-architect-part-1/
For datawarehouse Engineer involved with task the day look like
https://sandyclassic.wordpress.com/2014/02/19/a-day-in-life-of-datawarehousing-engineer/
For Unstructured data analysis you can look at
https://sandyclassic.wordpress.com/2011/10/19/hadoop-its-relation-to-new-architecture-enterprise-datawarehouse/

Then data Transformation are applied for
Example in Informatica and SSIS:

https://sandyclassic.wordpress.com/2014/01/15/eaten-tv-from-partly-eaten-apple-part-2-artificial-intelligence/

Two Sets of documents are There LLD and HLD to look at what needs transformation to be applied.
Like in Informatica Transformation Types are :

http://www.techtiks.com/informatica/beginners-guide/transformations/transformation-types/

Look at all transformations available in Informatica version 9

http://www.folkstalk.com/2011/12/transformations-in-informatica-9.html

These can be customized according to logic required.
Next step is Loading to datawarehouse dimension tables  and then to Fact table.
Read: https://sandyclassic.wordpress.com/2014/02/06/coke-vs-pepsi-of-datawarehousing-etl-vs-elt/
And more

https://sandyclassic.wordpress.com/2013/07/02/data-warehousing-business-intelligence-and-cloud-computing/

A day in life of datawarehouse Consultant

Consultant Analyses the business deeper to come up with star-schema design and further ETL load design,
Working as datawarehouse consultant most important task is to fix granularity of fact across dimensions to be analysed in FACT-DIMENSION Star schema design.
Granularity depends on business requirement and key drivers for business to be analysed for having its impact on Topline and Bottomline of Company. For Clinical Research key driver is No. of patient Enrolled, For banking key driver is cost of adding new customer,
Now patient is analyzed across geography dimension, against time dimension. But at what level of Granularity.
(#no of patient, day)   OR
(#no of patient, year)  OR
(#no of patient, hour)
This depends on business need and level of criticality to time. For Stock trading Every second is crucial but not for clinical trails but if trial involve enrollment of large public it may required a drill down to per day figure in BI reports hence provisions must be there in star schema.
Besides this The Other task per day can be taken based on stage of project
https://sandyclassic.wordpress.com/2014/02/19/a-day-in-life-of-datawarehouse-architect-part-1/
For datawarehouse Engineer involved with task the day look like
https://sandyclassic.wordpress.com/2014/02/19/a-day-in-life-of-datawarehousing-engineer/
For Unstructured data analysis you can look at
https://sandyclassic.wordpress.com/2011/10/19/hadoop-its-relation-to-new-architecture-enterprise-datawarehouse/

Then data Transformation are applied for
Example in Informatica and SSIS:

https://sandyclassic.wordpress.com/2014/01/15/eaten-tv-from-partly-eaten-apple-part-2-artificial-intelligence/

Two Sets of documents are There LLD and HLD to look at what needs transformation to be applied.
Like in Informatica Transformation Types are :

http://www.techtiks.com/informatica/beginners-guide/transformations/transformation-types/

Look at all transformations available in Informatica version 9

http://www.folkstalk.com/2011/12/transformations-in-informatica-9.html

These can be customized according to logic required.
Next step is Loading to datawarehouse dimension tables  and then to Fact table.
Read: https://sandyclassic.wordpress.com/2014/02/06/coke-vs-pepsi-of-datawarehousing-etl-vs-elt/
And more

https://sandyclassic.wordpress.com/2013/07/02/data-warehousing-business-intelligence-and-cloud-computing/

Advanced metering infrastructure Architecture

My presentation at an interview

 

Architecture sap hana vs oracle exadata competitive analysis part -2

READ part 1:
https://sandyclassic.wordpress.com/2011/11/04/architecture-and-sap-hana-vs-oracle-exadata-competitive-analysis/
This debate of SAP Vs Oracle or last 2 yrs buzz SAP HANA vs Oracle Exalytics
Every year in Enterprise Software space Competition of SAP Vs Oracle Hots up with new announcements and New technology comparisons of SAP new Tech Vs Oracle New Tech.
The Enterprise Software stack built up by No.1 and No.2  world’s top most valued companies in Enterprise Technology Space.
So SAP Vs Oracle comparison will never go out of picture only every year it will up the ante. 
In Memory Technology: SAP Vs Oracle (New tech now 2 yrs old).

Now a day In-Memory Technology is the Hottest area especially in Business Intelligence (BI). But its not limited to BI it goes into ERP, Application development of any Kind.
The processing infrastructure in form of in Memory Systems is much faster than any other form. As Cost of RAM is coming down and capacity of server is expanding So most data to be processed can be pulled inside memory at once instead of using Locality of reference to pull and process from secondary memory.
Also Server can hold lot more data to processed in memory at once.
SAP HANA Vs Oracle Exadata
So SAP Came with SAP HANA and Oracle has its own in memory systems. At same time Oracle released high performance machine Exadata which brook many performance records. So There was running comparisons of SAP Vs Oracle in Enterprise Technology space.
innovation at SAP : ABAP, BSP and BAPI 
SAP customized by using  Advanced Business Application Programming (ABAP) Language.
Using which reports are customized, forms are modified, business processes are written to reflect business Logic. ILE, BAPI, IDOC can be used to interface with external software or integration or developing Adaptor. Custom Exits and User Exits are written to customize forms and reports.
For SAP datawarehouse technology SAP BIW or SAP BI datawarehouse is created using
Extraction Legacy System Migration Workbench (LSMW) or Cost and profitability Analysis (COPA) Extrations then transformation can be applied using ABAP user exits.
Problem with ABAP is compared to mordern langauges it has not evolved much over time.
Most of ABAP constructs are similar to COBOL constructs. There is Object oriented ABAP also like JSP or ASP  it came up with BSP (Business Server Pages) to Expose ABAP code directly to Web like JSP does for Java or ASP does for Microsoft Technology.

SAP Netweaver  Vs SAP ABAP BSP
SAP began adopting Java in 2003 and came up with Netweaver product which was J2EE server for ABAP code. Now you can code using either java or ABAP in netweaver. For Application requiring functionality to exposed to Web Java was natural choice.
But Oracle having acquired Java in year 2010 Since then there was continuous Effort on part of SAP to move away from its dependence of Java.  So BSP came into picture as first step.
Benefits of In-memory in SAP HANA
next was paradigm shift using Columar database instead of Row oriented databases which consumed less storage (on account of reduction in repetitions of similar column values as well compression of data).
Also it integrates:
BI and datawarehousing system or OLAP with
Operational systems or OLTP Systems as one.
Even Analytic requiring lowest level of granularity can be queried on same server.
Effect of which was Whole data can be pulled and kept in In-memory system offering faster response time to multiple user connected at same time rather than
Regular database Query processing logic
parsing request , making parse tree,
comparing with already fetched query parse tree in cache
if not available
then
fetching data from secondary memory
when depending on the request into

Improvement in data processing in SAP HANA and column oriented database
Now since whole data can be kept in-memory So Every query can directly fetch data quicker.
Future Technology Like SAP HANA
Enhancement over this Technology are Probabilistic databases and Graph databases.
Graph databases are available commercially since long time.
Index free storage. Every element has direct pointer to adjacent element, hence no lookup needed.
Here is list:
http://en.wikipedia.org/wiki/Graph_database
And
Probabilistic databases : Are active area of research as discussed above as well.
http://en.wikipedia.org/wiki/Probabilistic_database

A day in life of Peoplesoft Functional Consultant part 1

Depending on ERP there can be many modules inside..
Major modules of peoplesoft ERP are :
1. Human Resource Management Systems HRMS
Submodules: (payroll, Core HR, benefits, recruitment, performance management)
2. Financials
(Account payable AP, Account Receivable AR, General Ledger GL etc..)
3. Supply chain Management SCM
4. Customer Relationship Management CRM

Functional consultant major work is during GAP Analysis To find As-IS state and identify work required to achieve TO-BE state.
Find all those forms which needs to be modified, and all those reports which needs to be modified And Exactly what field to change, What button to remove, What functionality to be disabled, What pre-delivered business logic behind components to be modified and What formulae to be used during modification.
There is Another Module which is consider Techno-functional Peopesoft EPM. EPM is datawarehouse part which has four major components for Each of four above there is a data mart for each area of finance, HR, SCM, CRM.
Each contains data from its own module transferred using ETL tools and reporting using BI Tools and analytics can be applied over formulae in BI systems.
-Also functional consultant decide based on feedback from local management to modify field like in HRMS a rejoining of employee should get ID as previous from old record or new ID based of policy in management.
if Payroll of local market like irish payroll or indian payroll does not exits then it should existing global payroll should be modified to achieve local labour laws and saving rules , income tax based customisation.

BI App development using Cognos SDK

Read previous article written before on Topic Link below:
Business Intelligence reports are generally created to un-structured or semi structured business Problems which covers Decision support system DSS, Management support system MIS.
To Know more : Read:  https://sandyclassic.wordpress.com/2013/01/31/strategic-information-systems-will-be-in-focus-again-next-5-yrs/

Business Intelligence Reporting solution can develop reports of varying requirements from Nowadays from operation to BI due to pervasive nature of BI to Exit at level of  Transaction processing System TPS at Knowledge level, to Office Automation system OAS at lowest operational level where operational reports about daily status is gerally used from ERP.
MIS Typical hierarchy of Information systems from Decision Support system at top to lowest Office automation system.
Customising Cognos Authentication mechanism for integration is first step see details

1. https://sandyclassic.wordpress.com/2014/03/08/authentication-using-cognos-java-sdk/

How to Customize Cognos to any specific non-existent customisation using SDK. Read
2. https://sandyclassic.wordpress.com/2014/03/08/cognos-software-development-kit/

If data is completely unstructured data which cannot be analysed by traditional BI system but requiring Hadoop, Hive , HBase then customisation has to integrate Big data system Read:
3. https://sandyclassic.wordpress.com/2011/10/26/big-data-and-data-integration/

BI App development using BO Java and ASP SDK

How to develop BI App using Java or ASP?
standard SDK tutorial presentation by Raphael Geoffroy, Marc Labouze Alastair Gulland’s bou training material.