In-memory computing stores oceans of data as information in the Random-Access Memory (RAM) of the systems operating in an environment. This technology replaces the conventional way of storing data in disks and using relational database management methods to fetch and process it.
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1. MAJOR COMPONENTS OF SAP HANA
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2. MAJOR COMPONENTS OF SAP HANA
What is In-Memory Computing?
In-memory computing stores oceans of data as information in the Random-Access Memory
(RAM) of the systems operating in an environment. This technology replaces the conventional
way of storing data in disks and using relational database management methods to fetch and
process it.
The traditional method is much slower than in-memory storage and computing. In-memory
computing technology serves a large customer base ranging from industries, finance,
manufacturing to retail, banking, utility, etc.
It is used in both managing and manipulating data through fast and efficient processing.
3. Also, in-memory computing technology is much cheaper than the traditional database system.
The most popular and widely used application for in-memory technology is SAP HANA.
It is because of this why SAP HANA is also called a High-speed Analytical Appliance. In a
technology like SAP HANA, you can perform real-time analytics on big data as well as
develop real-time applications.
What makes an in-memory computing technology like SAP
HANA so widely accepted?
Well, the answer lies in the question. The primary reason for its success is the in-memory
storage and computing technology. Earlier, traditional database management methods were
used in enterprise applications where data was stored and fetched from the storage disks.
4. It added an extra process which is the movement of data from the database (hard-disk) to the
respective application server. This made the entire process slow and inefficient.
In efforts to improve this, applications in SAP HANA is developed in close association with the
database, and there is close to no data movement in it.
Thus, SAP HANA keeps an original copy of the data ready in in-memory storage which results
in the quick query response, data access, and processing for ad-hoc reporting and analysis of
real-time data.
Along with keeping data ready in memory, SAP HANA technology also reduces the
complexity of data models for ERPs. It is done by using columnar storage methods of
arranging data in-memory.