If you are an SAP Consultant/Enterprise Architect, I challenge you that you will definitely like the latest buzz around the new innovation that is happening in SAP's technological Platform. that is SAP HANA,
HANA Stands for High-Performance Analytic Appliance
From mainframes to commodity x86 servers, from database technology to enterprise applications, and from enterprise-architecture strategy to IT-infrastructure planning, SAP HANA is accelerating a series of significant changes not only within the IT vendor community but also within the expectations of customers about what the future of computing will look like.
For customers, SAP is promising that its HANA in-memory platform will allow them to strip out layers of brittle and unproductive infrastructure and nondisruptively create an entirely new IT environment that offers far greater performance at significantly lower prices
What is SAP HANA?
Hana is the technology that allows processing of massive quantities of data in Servers main memory and provides immediate results for analysis and Transactions. It's built on the concept of In-Memory Computing.
What is In-Memory Computing?
High performance in-memory computing will change how enterprises work. Currently, enterprise data is split into two databases for performance reasons. Usually, disk-based row-oriented database systems are used for operational data and column-oriented databases are used for analytics (e.g. “sum of all sales in China grouped by product”). While analytical databases are often kept in-memory, they can are often also mixed with disk-based storage media.
Transactional data and analytical data are not stored in the same database: analytical data resides in separate data warehouses, to which it is replicated in batch jobs. In consequence, flexible real-time reporting is not possible and leaders are forced to make decisions based on insufficient information in very short time frames.
This is about to change, since hardware architectures have evolved dramatically during the past decade. Multi-core architectures and the availability of large amounts of main memory at low costs are about to set new breakthroughs in the software industry. It has become possible to store data sets of entire Fortune 500 companies in main memory. At the same time, orders of magnitude faster performance than with disk-based systems can be achieved.
What to Expect From HANA?
Imagine reports that used to take a minute to run now running instantaneously. Imagine the satisfaction of your user community if all or most of their reports and analysis ran instantaneously. Line-of-business users will pay for this capability, and that will open the door for SAP HANA. After HANA gets in the door, I’m sure the CIO will find tons of additional uses for it. This is huge, and will generate truckloads of money for SAP, while also making customers super-satisfied.
In the long run, SAP HANA may indeed revolutionize enterprise business applications, but that remains to be seen. Right now, SAP HANA should be capable of creating substantial customer benefits – and generating a very large revenue stream to SAP.
Watch out this Space for more...
HANA Stands for High-Performance Analytic Appliance
From mainframes to commodity x86 servers, from database technology to enterprise applications, and from enterprise-architecture strategy to IT-infrastructure planning, SAP HANA is accelerating a series of significant changes not only within the IT vendor community but also within the expectations of customers about what the future of computing will look like.
For customers, SAP is promising that its HANA in-memory platform will allow them to strip out layers of brittle and unproductive infrastructure and nondisruptively create an entirely new IT environment that offers far greater performance at significantly lower prices
What is SAP HANA?
Hana is the technology that allows processing of massive quantities of data in Servers main memory and provides immediate results for analysis and Transactions. It's built on the concept of In-Memory Computing.
What is In-Memory Computing?
High performance in-memory computing will change how enterprises work. Currently, enterprise data is split into two databases for performance reasons. Usually, disk-based row-oriented database systems are used for operational data and column-oriented databases are used for analytics (e.g. “sum of all sales in China grouped by product”). While analytical databases are often kept in-memory, they can are often also mixed with disk-based storage media.
Transactional data and analytical data are not stored in the same database: analytical data resides in separate data warehouses, to which it is replicated in batch jobs. In consequence, flexible real-time reporting is not possible and leaders are forced to make decisions based on insufficient information in very short time frames.
This is about to change, since hardware architectures have evolved dramatically during the past decade. Multi-core architectures and the availability of large amounts of main memory at low costs are about to set new breakthroughs in the software industry. It has become possible to store data sets of entire Fortune 500 companies in main memory. At the same time, orders of magnitude faster performance than with disk-based systems can be achieved.
What to Expect From HANA?
Imagine reports that used to take a minute to run now running instantaneously. Imagine the satisfaction of your user community if all or most of their reports and analysis ran instantaneously. Line-of-business users will pay for this capability, and that will open the door for SAP HANA. After HANA gets in the door, I’m sure the CIO will find tons of additional uses for it. This is huge, and will generate truckloads of money for SAP, while also making customers super-satisfied.
In the long run, SAP HANA may indeed revolutionize enterprise business applications, but that remains to be seen. Right now, SAP HANA should be capable of creating substantial customer benefits – and generating a very large revenue stream to SAP.
Watch out this Space for more...
No comments:
Post a Comment