1. Introduction to SAP HANA
Ali safari khatouni, November 2018

2. What are Enterprise Resource Planning (ERP) Systems?
Incredibly large, extensive software packages used to manage a firm’s business processes.
Standard software packages that must be configured to meet the needs of a company
Database programs with the following functions:
Input
Storage/Retrieval
Manipulation
Output

3. Typical scenario in ERP system

4. ERP players in market

5. SAP clients

6. What is SAP HANA compared to ERP?

7. SAP S/4 HANA
SAP S/4HANA is a full enterprise management suite, is SAP's next generation Business Suite and is a completely new product and code line and covers the areas of finance, sourcing & procurement, asset management, manufacturing and supply chain.
Instant, real-time insight for better decisions
in-memory technology
embedded analytics
Reinvented processes for higher performance
SAP Fiori user experience for higher productivity
intuitive on all devices, mobile first
Simplified Architecture

8. What are enterprise application like?
Workload in enterprise application consist of:
Mainly read queries
Online transaction processing (OLTP) 83%
Online analytical processing (OLAP) 94%
Many queries access large sets of data

9. SAP HANA DB processes

10. Business Applications
Connection and Session Management
Authori-zation Manager
SQL
SQL Script
MDX …
Trans- action Manager
Optimizer and Plan Generator
Calculation Engine
Execution Engine
Metadata Manager
In-Memory Processing Engines
Column Engine
Row Engine
Text Engine
Persistency
Logging and Recovery
Data Storage

11. SAP HANA technology Hybrid data storage
Tuple 1
Application often processes single records at once
many selects and /or updates of single records
Application typically accesses the complete record
Columns contain mainly distinct values
Aggregations and fast searching not required
Small number of rows (e.g. configuration tables)
SAP HANA Row Store stores tables by row
Tuple 2
Tuple 3
Att1
Att2
Att3
Att4
Att5
Tuple n

12. SAP HANA technology Hybrid data storage
Search and calculation on values of a few columns
Big number of columns
Big number of rows and columnar operations
aggregate, scan, etc.
High compression rates possible
Most columns contain only few distinct values
SAP HANA Column Store stores tables by column
Att1
Att2
Att3
Att4
Att5
Tuple 1
Tuple 2
Tuple 3
Tuple n

13. SAP HANA technology Dictionary compression
Classical Row Store
HANA Column Store
Dictionary for attribute/ column „Group“
0 INTEL
1 Siemens
2 SAP
3 IBM
Company
[CHAR50]
Region
[CHAR30]
Group [CHAR5]
INTEL
USA A
Siemens
Europe B C
SAP
IBM
0 A
1 B
2 C
0 Europe
1 USA 1
Index Vector
Stored in one memory chunk
=> data locality for fast scans 1 1 1 2 2 2 3 1

14. SAP HANA main advantages
Database Services
using in-memory database services to process high-speed transactions and analytics
Advanced Analytics Processing
data processing capabilities – text, predictive, spatial, graph, streaming, and time series – you can get answers to any business question and make smart decisions in real time.
App Development
Develop next-generation applications that combine analytics and transactions, and deploy them on any device. 
Data Access
Gain a complete and accurate view of your business by accessing data from any source – internal or external
Administration
Simplify system administration and IT operations 
Security
Keep your communications, data storage, and application services secure with robust identity and access management controls. 

15. Future evolution Apache Kafka Hadoop Spark
a distributed streaming platform.
Hadoop
a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. 
Spark
a unified analytics engine for large-scale data processing.

16. Practical example
Is there any database available in our laptop, pc, mobile, etc.?
Yes, many applications store data as database

17. Available SQL database engines

18. Let’s use our SQL knowledge
Tool:
Sqlite: SQLite is an in-process library that implements a self- contained, serverless, zero-configuration, transactional SQL database engine.
Android
Linux
Mac OS X 
Windows
Database:
Use history database of Firefox
Ubuntu: ~/.mozilla/firefox/luvtp4j4.default/places.sqlite …

19. places.sqlite Database
moz_places: The main table of URIs and is managed by the history service . Any time a Places component wants to reference a URL, whether visited or not, it refers to this table. Each entry has an optional reference to the moz_favicon table to identify the favicon of the page. No two entries may have the same value in the url column.

20. places.sqlite Database
moz_places
moz_hosts
moz_historyvisits
moz_bookmarks
moz_bookmarks_roots
moz_keywords
moz_anno_attributes
moz_annos
moz_items_annos
moz_favicons

21. places.sqlite Database

22. places.sqlite Database

23. places.sqlite Database

24. Thanks for your attention!
Questions?

25. A streaming platform has three key capabilities:
Publish and subscribe to streams of records, similar to a message queue or enterprise messaging system.
Store streams of records in a fault-tolerant durable way.
Process streams of records as they occur.
Kafka is generally used for two broad classes of applications:
Building real-time streaming data pipelines that reliably get data between systems or applications
Building real-time streaming applications that transform or react to the streams of data