The document discusses the architecture of SAP HANA. It explains that SAP HANA can store data in both row-oriented and column-oriented formats. It also describes how SAP HANA allows for features like group functions, creation of new records, handling of both OLTP and OLAP workloads, and in-memory data compression.

1. SAP HANA Architecture
Ajay Kumar
HCL

2. Employee Table
ID Name Department Salary
1 Ram Finance 5000
2 Lakshman Finance 10000
3 Sita HR 10000

3. Row Oriented Physical Storage
ID Name Department Salary
1 Ram Finance 5000
2 Lakshman Finance 10000
3 Sita HR 10000
1,Ram,Finance,5000
2,Lakshman,Finance,10000
3,Sita,HR,10000
Row Based
physical
storage

4. Column Oriented Physical Storage
ID Name Department Salary
1 Ram Finance 5000
2 Lakshman Finance 10000
3 Sita HR 10000
1,Ram,Finance,5000;
2,Lakshman,Finance,10000;
3,Sita,HR,10000
Row Based
physical
storage
Column Oriented
physical storage
1,2,3;
Ram,Lakshman,Sita;
5000,10000,10000

5. Group Functions : Sum, Average
1,Ram,Finance,5000;
2,Lakshman,Finance,10000;
3,Sita,HR,10000
Row Based
physical
storage
Column Oriented
physical storage
1,2,3;
Ram,Lakshman,Sita;
5000,10000,10000

6. Creation of new record
1,Ram,Finance,5000;
2,Lakshman,Finance,10000;
3,Sita,HR,10000;
4,Ajay,HR,8000
Row Based
physical
storage
Column Oriented
physical storage
1,2,3,4;
Ram,Lakshman,Sita,Ajay;
Finance,Finance,HR,HR
5000,10000,10000,8000

7. OLTP Vs OLAP
OLTP OLAP
Row Oriented Row Oriented
Column Oriented

8. In-Memory Data Compression
1,Ram,Finance,5000;
2,Lakshman,Finance,10000;
3,Sita,HR,10000;
4,Ajay,HR,8000
Row Based
Column Oriented
1,2,3,4;
Ram,Lakshman,Sita,Ajay;
Finance,Finance,HR,HR;
5000,10000,10000,8000
1,2,3,4;
Ram,Lakshman,Sita,Ajay;
2:Finance, 2:HR;
5000,2:10000,8000
4 to 10
times