Understanding HANA has never been this easy
Though a lot of materials can be found online talking about HANA, its features/advantages and so on. This blog is for newbies in HANA and will brief about HANA in very simple words.
Before we embark on our journey, lets define 3 most confusing terms which often thought to be similar by beginner.
HANA Suite on HANA S/4 HANA
HANA is a database and S/4 HANA is the application that uses this database.
ECC 6.0 and below versions were mainly running on Oracle database that can be seen from System->Status->Database System.
And moving the database from Oracle or any other db to HANA DB is Suite on HANA.
SAP S/4 HANA Full form :
SAP Business Suite 4 (generation) for SAP High-performance ANalytic Appliance
Now, lets start with the topic “HANA”.
HANA is much more than a database, it is also a data processing platform. Now task of application layer is to mainly display what the user has asked for.
Note: Though HANA is doing all the calculations but to achieve complex scenarios, application layer is still used for data processing and calculations.
Features of HANA :
Data Source Independent :
HANA enables customers to analyze huge volumes of data in real time, data aggregation can be done irrespective of data sources.
HYBRID In-Memory Database :
In-memory, because it stores data directly in main memory and Hybrid, because it stores data as Row store and Column store both.
Row Store : Data is stored as a sequence of records i.e. all the fields of one row are saved in contiguous memory locations.
Column Store : Data is stored as a sequence of fields i.e. all values in a column are stored in contiguous memory locations.
Parallel processing and Partitioning of data :
Parallel processing means that at least two microprocessors handle parts of an overall task.
e.g. In below snap it can be seen for processing or searching for a specific record Core 1 is dedicated to column 1 and core 2 is for column 2 and in case of partitioning two cores are dedicated to each half of the column 3 to speed up the data processing time.
Multi- tenancy :
This is an architecture which allows multiple tenant/customer to share the same computing resource here HANA DB. Each tenant’s data is isolated and remains invisible to other tenants.
- System tables and other data are stored in System DB which are required for proper functioning.
- Benefit while using cloud.
- Cost effective: Here we need not to pay for whole DB but for occupied memory only.
- Virtually we are creating a database inside HANA system.
Dynamic Tiering :
It is classification of data into temperatures (Hot, Warm, Cold) based on its importance and performance expectations.
Hot data : Data is accessed frequently thus stored in main memory.
Warm data : Data is not accessed frequently and stored in disk based persistent storage.
Cold data :
Data is rarely accessed or inactive and is stored outside SAP HANA database.
Supported Data type :
Text data :
Data from Social media feeds, help desk tickets, logs etc.
e.g.While commenting on social media platform we use SMS language, short forms such data falls under text data.
Spatial data :
Data that relates to locality, maps etc. e.g. GPS map based data.
Graph data :
Data that related to highly networked entities like social network etc.These are real-time data that keep changes with high frequency.
e.g. followers count on social media, likes on a particular page/post, stock market indices.
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