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WHAT IS SAP HANA 
Sap Best Online Training 
IND +91 8688888976 
USA +1- 434-563-6487 
Email : info@sapbestonlinetraining.com 
www.sapbestonlinetraining.com
What is SAP HANA ? 
• SAP HANA is the latest in-memory analytics product from SAP; using HANA 
companies can do ad hoc analysis of large volumes of data in real-time. 
• In-memory means all the data is stored in the memory (RAM). This is no time 
wasted in loading the data from hard-disk to RAM or while processing keeping 
some data in RAM and temporary some data on disk.
What is real-time analytics? 
• Using HANA, companies can analyze their data as soon as it is available. In older 
days, professionals had to wait at least few hours before they could analyze the 
data being generated around the company. 
• SAP making/selling the software or the hardware? SAP has partnered with 
leading hardware vendors (HP, Fujitsu, IBM, Dell etc ) to sell SAP certified 
hardware for HANA. 
• SAP is selling licenses and related services for the SAP HANA product which 
includes the SAP HANA database.
Is HANA really fast? 
• How is it possible that HANA is so fast? HANA is fast due to many reasons. The 
following picture 1 depicts a very simplified version of what’s inside the In-memory 
Computing Engine. 
• Column Storage While the traditional databases store the relational table one 
row after another, IMCE stores tables in columns. Hopefully the following figure 
explains the difference between the two storage mechanisms easily .
Compression: 
• As the data written next to each other is of same type, there is no need to write 
the same values again and again. There are many compression algorithms in 
HANA with the default being the dictionary algorithm, which for example maps 
long strings to integers. 
• Example of dictionary algorithm: You have a Country column in your Customer 
table in your database. Let’s say you have 10 million customers from 100 
countries. In the standard row-based storage you will need 10 million string 
values stored in memory.
Parallel Processing: 
• It is always performance critical to make full use of the resources available. With 
the current boost in the number of CPUs, the more work they can do in parallel, 
the better the performance. 
• The columnar storage enables parallel processing as different CPUs can take 
one column each and do the required operations (aggregations etc ) in parallel. 
Or multiple CPUs can take a partitioned column and work in parallel for faster 
output.
CONTACT US 
Sap Best Online Training 
IND +91 8688888976 
USA +1- 434-563-6487 
Email : info@sapbestonlinetraining.com 
www.sapbestonlinetraining.com

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SAP HANA ONLINE TRAINING | SAP HANA CERTIFICATION TRAINING|SAP HANA JOB SUPPORT

  • 1. WHAT IS SAP HANA Sap Best Online Training IND +91 8688888976 USA +1- 434-563-6487 Email : info@sapbestonlinetraining.com www.sapbestonlinetraining.com
  • 2. What is SAP HANA ? • SAP HANA is the latest in-memory analytics product from SAP; using HANA companies can do ad hoc analysis of large volumes of data in real-time. • In-memory means all the data is stored in the memory (RAM). This is no time wasted in loading the data from hard-disk to RAM or while processing keeping some data in RAM and temporary some data on disk.
  • 3. What is real-time analytics? • Using HANA, companies can analyze their data as soon as it is available. In older days, professionals had to wait at least few hours before they could analyze the data being generated around the company. • SAP making/selling the software or the hardware? SAP has partnered with leading hardware vendors (HP, Fujitsu, IBM, Dell etc ) to sell SAP certified hardware for HANA. • SAP is selling licenses and related services for the SAP HANA product which includes the SAP HANA database.
  • 4. Is HANA really fast? • How is it possible that HANA is so fast? HANA is fast due to many reasons. The following picture 1 depicts a very simplified version of what’s inside the In-memory Computing Engine. • Column Storage While the traditional databases store the relational table one row after another, IMCE stores tables in columns. Hopefully the following figure explains the difference between the two storage mechanisms easily .
  • 5. Compression: • As the data written next to each other is of same type, there is no need to write the same values again and again. There are many compression algorithms in HANA with the default being the dictionary algorithm, which for example maps long strings to integers. • Example of dictionary algorithm: You have a Country column in your Customer table in your database. Let’s say you have 10 million customers from 100 countries. In the standard row-based storage you will need 10 million string values stored in memory.
  • 6. Parallel Processing: • It is always performance critical to make full use of the resources available. With the current boost in the number of CPUs, the more work they can do in parallel, the better the performance. • The columnar storage enables parallel processing as different CPUs can take one column each and do the required operations (aggregations etc ) in parallel. Or multiple CPUs can take a partitioned column and work in parallel for faster output.
  • 7. CONTACT US Sap Best Online Training IND +91 8688888976 USA +1- 434-563-6487 Email : info@sapbestonlinetraining.com www.sapbestonlinetraining.com