The document provides an overview of SAP HANA, a flexible in-memory database designed for real-time analysis of large volumes of data. It highlights the architecture, scalability, and data provisioning capabilities, emphasizing its support for both transactional and analytical processing. Additionally, it outlines the hardware innovations and various configurations of SAP HANA appliances, demonstrating its enhanced performance and efficiency.

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2. Agenda
HANA Introduction and features.
HANA Architecture.
Scale Out, HA and DR Capabilities
SAP HANA Data Provisioning
SAP SLT
Questions & Backup

3. Agenda
HANA Introduction and features.
HANA Architecture.
Scale Out, HA and DR Capabilities
SAP HANA Data Provisioning
SAP SLT

4. Introduction to SAP HANA
SAP HANA is
a flexible, data-source-agnostic appliance that enables
customers to analyze large volumes of SAP ERP data in real-time,
avoiding the need to materialize transformations.
In-memory database
It supports analytical and transactional applications.
It supports relational data as well as graph and text
processing for semi- and unstructured data
It is “ACID” compliant.

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The elements of In-Memory computing are not new. However, dramatically improved
hardware economics and technology innovations in software has now made it possible for
SAP to deliver on its vision of the Real-Time Enterprise with In-Memory business applications
HW Technology Innovations
Multi-Core Architecture (8 x 8core
CPU per blade)
Massive parallel scaling with many
blades
64bit address space – 2TB in current
servers
100GB/s data throughput
Dramatic decline in
price/performance
SAP SW Technology Innovations
Row and Column Store
Compression
Partitioning
No Aggregate Tables
Real-Time Data Capture
Insert Only on Delta

6. Processors are more powerful with hyper
threading and higher clocking speeds thus
offer higher throughput
Also processors come with multiple processing units
( multi cores)
Multi CPU Boards per server
Multi server boards
For ex: Nahelms – 4 cores
Dunnington – 6 cores

8. A Shift of Frontiers in
Computer Science
 Tape is Dead
 Disk is new
Tape
 Main
Memory is
new Disk
 CPU Cache is
new Main
Memory

9. conceptual view
A 10 €
B 35 $
C 2 €
D 40 €
E 12 $
mapping to memory
A 10 € B 35 $ C 2 € D 40 € E 12 $
A B C D E 10 35 2 40 12 € $ € € $
memory address
organize by row
organize by column
Columnar layout supports sequential memory access.

11. A partition is a
division of a logical
database or its
constituting elements
into distinct
independent parts
Horizontal
partitioning
Vertical
partitioning
TABLE

13. Columnar database allows basic data compression
by removing redundant data.
Run-length encoding
Also, there are several other compression
algorithms with which data can be lossless
compressed..Eg: dictionary encoding, bit vector
encoding

17. SAP Other in-memory appliances
Business Warehouse Accelerator
BO Explorer Accelerated
CRM Segmentation
SCM Live-cache

18. SAP HANA
Supports any data
sources.
Supports
transactional and
analytical processing.
Supports row-store
and column store.
It’s a faster RDBMS.
SAP BIA/BWA
Supports only data
from BI for faster
reporting purposes.
Not an RDBMS.
Supports only column
store using TREX flat
files.

19. SAP HANA Components
SAP HANA DB (or HANA DB).
SAP HANA Studio
SAP HANA Appliance refers to HANA DB as
delivered on partner certified hardware (see
below) as an appliance.
 SAP HANA Application Cloud refers to the
cloud based infrastructure for delivery of
applications (typically existing SAP applications
rewritten to run on HANA).

20.  SAP HANA appliance software is a hardware and
software including the
SAP HANA database,
SAP LT Replication Server and other available
replication technologies.

22. HANA Introduction and features.
HANA Architecture.
Scale Out, HA and DR Capabilities
SAP HANA Data Provisioning
SAP SLT

37. HANA Introduction and features.
HANA Architecture.
Scale Out, HA and DR Capabilities
SAP HANA Data Provisioning
SAP SLT

45. HANA Introduction and features.
HANA Architecture.
Scale Out, HA and DR Capabilities
SAP HANA Data Provisioning
SAP SLT

52.  http://www.academy.saphana.com/
 http://www.experiencesaphana.com
 http://www.saphana.com
 http://www.help.sap.com/hana_applianc
e
 http://www.sap.com/hana
 http://scn.sap.com/community/hana-in-memory

62. 2 x 8 core Intel Nehalem EX ( 2 socket
system)
128 GB Main memory
160 GB PCIe-Flash / SSD for Log volume
1 TB SAS / SSD for Data volume
 3 x 1 GB n/w or 1 x 10GB n/w (trunk)
 Redundant n/w infrastructure
Uncompressed
Data ~ 256 GB to
~500 GB
Replication Data
load 5GB /
hr
2 x 8 core Intel Nehalem EX ( 2 or 4 sockets
system)
256 GB Main memory
320 GB PCIe-Flash / SSD for Log volume
1 TB SAS / SSD for Data volume
 3 x 1 GB n/w or 1 x 10GB n/w (trunk)
 Redundant n/w infrastructure
Uncompressed
Data ~ 500 GB to
~1.25TB
Replication Data
load 5GB /
hr
2 x 8 core Intel Nehalem EX (4 sockets
system)
256 GB Main memory (expandable up to 512
GB)
320 GB PCIe-Flash / SSD (expandable up to
640 GB)
1 TB SAS / SSD for Data volume (expandable
up to 2 TB)
Uncompressed
Data ~ 500 GB to
~2.5 TB
Replication Data
load 5GB /
HANA Appliance “T-shirt” sizes
Specifications & Approximate Data Volumes
S
XS
S+
Starts at S and scales up to M

63. 4 x 8 core Intel Nehalem EX ( 4 socket system)
512 GB Main memory
640 GB PCIe-Flash / SSD
2 TB SAS / SSD for Data volume
 3 x 1 GB n/w or 1 x 10GB n/w (trunk)
 Redundant n/w infrastructure
Uncompressed
Data
~1.25TB to ~2.5
TB
Replication Data
load 5GB -
20 GB/ hr
4 x 8 core Intel Nehalem EX ( 8 socket system)
512 GB Main memory (expandable up to 1 TB)
640 GB PCIe-Flash / SSD (expandable up to 1.2
TB)
2 TB SAS / SSD for Data volume (expandable
up to 4 TB)
 3 x 1 GB n/w or 1 x 10GB n/w (trunk)
 Redundant n/w infrastructure
Uncompressed
Data ~
1.25TB to ~5TB
Replication Data
load 5GB –
20 GB / hr
8 x 8 core Intel Nehalem EX
1 TB Main memory
1.2 TB PCIe-Flash / SSD
4 TB SAS / SSD for Data volume
 3 x 1 GB n/w or 1 x 10GB n/w (trunk)
 Redundant n/w infrastructure
Uncompressed
Data ~
2.5TB to ~5TB
Replication Data
load 5GB –
HANA Appliance “T-shirt” sizes
Specifications & Approximate Data Volumes
M
M+
Starts at M and scales up to L
L