1. The need for In Memory Technologies
Subhankar Pattanayak
April 2013
2. Market Soundbites
- Market for In Memory Technologies is 220 Billion USD by 2020*
- Major Investments by all Leading Software Vendors
- HANA : Flagship product of SAP, fastest growing Product in SAP history
- Oracle : Times Ten , Exalytics and Exadata
- IBM : SolidDB
- Microsoft : Hekaton
- HP : In Memory CoE, focussed on In Memory Implementation of HANA
- Applications based on HANA
- SAP : Business Suite on HANA, Analytics driven by HANA
- Oracle : Oracle In-Memory Applications
* Study by Market Research Media,
3. Faster Processing
Data doubling @ every 18 months
A flight engine generates 10TB of Data every 30 Min
Location awareness in our Mobiles
Twitter and Facebook : 12 TB data created everyday (IPL Tweet : 40 Million and
increasing)(Sentiment Data)
Youtube: 20 Hrs of video upload every minute
Email : 2.9 Million emails every second
NSE: 1 TB data in a single day
But Disc Scan speed has increased by only 10 times.
Accessing a main memory reference takes 100 nanoseconds and a simple disk seek is
taking 10 milliseconds.
Falling Prices of DRAM : The price of a gigabyte of DRAM declines (on average) 32%
per year
In Memory Processing is becoming Viable, Feasible and Desirable
4. Simpler Approach
• OLTP vs OLAP
• Removing redundancies by 1 DB instance
• Near real time analysis
• Overhead
• TCO lower
5. Changing the World
HANA empowers the organizations to tackle this issue by boosting supply chain effectiveness. It
enables companies with sophisticated analyses and data that are beyond the reach of traditional
supplier management and spend analysis applications. The real time power of HANA enables
companies to take immediate steps to ensure certainty in supply networks.
Specifically in the utilities sector, HANA with its real time analytics can process huge amount of data
real time and ensure optimal distribution of energy. SAP Smart Meter Analytics powered by HANA
analyzes smart meter and interval data in seconds to provide insights that were not possible before.
It delivers
Powerful Customer Insights
Instantly aggregate data and analyze customer energy usage at any level of granularity and
dimension
Advanced Customer Segmentation
Precisely segment customers based on consumption patterns.
3.) Real Time Inventory Analysis by HANA is the pick no.3. As demonstrated by the customer, big data
analysis became easier and inputs flowed back to the system which in turn enabled higher efficiency.
6. You can read my blogs @
- SCN
- TechSambad.com
My Twitter Handle : @subhankarp