The document discusses the emergence and significance of in-memory computing as a transformative technology for businesses facing large data challenges, emphasizing its ability to perform complex analyses in real time. It highlights how current enterprises are capitalizing on this technology to enhance data processing speed and reduce energy consumption while transitioning from traditional storage methods. Notable solutions and providers in the in-memory computing space, such as SAP and Oracle, are also referenced.

1. IN-MEMORY
COMPUTING
Prepared by Debajit Banerjee for: http://debajitb.wix.com/debajitbanerjee/ & http://debajitb.wix.com/debajitbanerjee/apps/blog

2. Industry Differentiator for 2013
Prepared by Debajit Banerjee for: http://debajitb.wix.com/debajitbanerjee/ & http://debajitb.wix.com/debajitbanerjee/apps/blog
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….BIG DATA…. ….SECURITY…. ….MOBILE SOLUTIONS….

3. Why we are discussing In-Memory Computing?
3

4. Why In-Memory Computing?
4

5. Why In-Memory Computing?
5
“Recent Technology Advancements"

6. Why In-Memory Computing?
6
“Recent(last decade or so) changes in Business Requirement"
“The Web, a good part of the Web, is a few terabits. So it’s not unreasonable; we’d like to
have the whole Web in memory, in random access memory to speed it up.”
- relatively unknown entrepreneur at the Intel Developer Forum
(At that time, his company’s backbone consisted of 2400 computers)
Financial institutions, cloud companies and other enterprises with
large data centers are shifting toward keeping data ‘in memory.’
Even Gartner picked In-Memory Computing as
one of the top ten strategic initiatives of 2013.
- Forbes
2000
2013
Experts estimate that the same company now operates more than 1 million
servers.
Facebook alone has 220 billion photos and 4.5 billion updates, likes, new
photos and other changes every day.

7. Why In-Memory Computing?
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“Current and future needs of Customers/Business"

8. Why In-Memory Computing?
8
“Current and future needs of Customers/Business"
“[All] business
transactions [and]
queries, including
unrestricted
aggregations and time-based
sequences, can
be answered in just a
couple of seconds
(including the
surprisingly costly
presentation layer).”
- Dr. Hasso Plattner

9. How In-Memory Computing can change Business?
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“Business impact is HUGE due to In-Memory Computing"

10. What is In-Memory Computing?
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"Computing should be within memory."
In Tech term
In-memory computing is a breakthrough technology that enables analysis of very large, non-aggregated
data at unprecedented speed in local memory (vs. disk-based
storage/database).
In Biz. term
In-memory computing helps to do complex analysis, plans and simulations based on real-time
data and made the results available immediately.
As more data is being generated, old-fashioned methods of data storage have been unable
to keep up. Moreover, businesses want data faster and in real time; customers can look at
information in any level of detail in real time.
…The answer? In-memory Computing.

11. In-Memory Computing Approach
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"Computing should be within memory."
- Less Data Travel Time (reducing traffic time for data from disks)
- Use non-volatile memory / ‘memory tier’ (DRAM + flash)
- Column-oriented system (keeping data more into column-store)
- Data Compression
- In-Memory Database & In-Memory Application
- In-Memory Computing will trigger an entirely new programming model and
ultimately a new business model for S/W industries
Note : According to Microsoft, in-memory based system servers are in use just
15% of the time; i.e., 85% of your computing cycles go to waste because
the servers are waiting for something to do. That is a massive amount of
excess overhead in hardware, real estate, power consumption and productivity.
For a Data Center, energy consumption would drop by 80% since memory-based
systems consume less energy and require fewer air conditioners.

12. In-Memory Computing Approach
- Exploitation of current hardware developments
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- Main Memory is the New Disk
- Non-Uniform Memory Access (NUMA)
- Multi-core processor parallelism
- Efficient communication between database layer
with the application layer
- Pushing more application semantics into data
management layer
Data compression achieves a reduction in disk space
- Different techniques, Light-Weight/Heavy-Weight
- Compression-aware query execution
- Data-Dependent Optimization
If transaction data is stored in a column-based table, then it
enables
- fast on-the-fly aggregations,
- ad-hoc reporting
- to take benefit from compression mechanisms (as column
data is of uniform type)
mapping to
memory

13. In-Memory Computing Solution Providers
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“Very few only in the race…."
The new database is codenamed
“Hekaton” and will be available
in "the next major release of SQL
Server."
Oracle Exadata X3 Database
In-Memory Machine
Oracle Exalytics - Oracle
Business Intelligence Foundation
Suite;
It includes
- Oracle Essbase (OLAP
technology for analytics)
- Oracle TimesTen In-Memory
Database
Vertica - Hybrid In-Memory/On-Disk
Architecture
Vertica FlexStore™ technology
SAP HANA Appliance SAP HANA Cloud
SAP HANA Database - SAP HANA One
SAP Mobile Solutions (on Amazon Web Services-AWS)
In-Memory Applications built on SAP HANA Platform
- Core Process Acceleration
- Planning and Optimization Applications
- Sensing and Response Applications
Analytics
- Operational Reporting
- Data Warehousing
- Big data Analytics

14. Success of In-Memory Computing
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“highly depends upon the platforms which can handle …..."

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