Tuesday, December 20
SAP HANA - Introduction
Lot has been spoken about increasing data volume , both the consumer perspective as well as from the enterprise perspective . So typically what data is relevant to me and how do I make use of that data is all about the motivation behind the investing plan , which is called HANA .
If you really look into your organization , those in the IT team would really appreciate the fact that we would want to achieve these three things . And these three things simultaneously . With that I take you to some of the technology aspects of HANA . SAP has been innovating on this front . Some of you might be aware of business accelerator which we already had for a couple of years .
So this technology is not actually new , but what actually gave the motivation for the rise of HANA is that there has been improved hardware economics and there has been a lot of software technology innovations . If you look at on the hardware side , today we have multi – core systems available . Again reading by some statistics, by 2020 we will have one CPU handling thousand cores or more . That is the kind of development we are making on the hardware front . Similarly on the software front , which is where SAP has played a major role , is that we have done row and column store . So we have to have a both column store and row store depending on the query you make at the front end . We have compression technology , like ganesh mentioned , compression to the tune of ten to hundred times , which actually gives you an optimal memory that you would need in your enterprise . We have partitioning methodologies , and no aggregate tables .
So all those who are actually aware of conversional warehouse would understand , that we do indexing and aggregation which actually increases the overall performance size and hence data warehouse size , and hence the performance actually gets impacted . And insert only data – so I was talking about data getting replicated in your in memory environment in the real time . Whenever a new transaction is written in your ERP that data actually comes into HANA and after that you can do the reporting on top of it . So this is how the architecture of HANA looks like . If you look at it , this version of HANA is available today for you to adopt . It has been released on 20 th of june . So if you look at this architecture , we have SAP business suite , SAP netweaver or any third party application , which is the most important point to not here . So it could be any data source both SAP or non - SAP . When that data goes into the HANA environment there are various methodologies we have developed like system landscape transformation .
So you can do real time replication , as well as you can choose to have data services , which helps you ;load the data at a periodic interval . Once the data goes in HANA that is where the entire magic actually starts happening. You have the compression , you have the row and column storage . You have the entire HANA studio environment , which creates the analytical views . So some of you might be wondering that if I am actually replicating the data from the enterprise . Then the data might not be in the correct format . The data might not be in format in which you actually want to look at . So there are analytical views that you can create in HANA , there is a complete HANA studio environment which helps you do that . And once that data massaging happens in HANA in real time , you can actually exploit that data .
You can be able to utilize that data using any front end you desire to have . You can choose to have an excel sheet , You can choose to have any other third party tool that you want to use on top of HANA . In the current version , it is a very very good example of an operational warehouse which can be used in the real time . Some other aspects which we have partnered with IBM , HP , DELL CISCO , etc . So it comes as an appliance and it comes pre - considered with software ( HANA software ) , depending upon the size that you would require . Just reiterating - it analysis information in less time , creates flexible analytical models which is what HANA studio does , and it minimizes data duplication , which is very very important to know.
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