What is SAP HANA?
SAP HANA Database:
SAP HANA is an in-memory database:
It is a mix of hardware and software created to method huge real time knowledge exploitation In-Memory computing.
It combines row-based, column-based database technology.
Data currently resides in main-memory (RAM) and no longer on a tough disk.
It’s best suited for performing time period analytics, and developing and deploying real-time applications.
An in-memory information suggests that all the knowledge is keep within the memory (RAM). This is no time wasted in loading {the knowledge|the info|the information} from hard-disk to RAM or while process keeping some knowledge in RAM and temporary some data on disk. Everything is in-memory all the time, which provides the CPUs fast access to knowledge for process.
The speed advantages offered by this RAM storage system area unit more accelerated by the use of multi-core CPUs, and multiple CPUs per board, and multiple boards per server appliance.
Complex calculations on knowledge area unit not meted out within the application layer, but area unit captive to the information.
SAP HANA is equipped with multiengine query process setting that supports relative still as graphical and text knowledge at intervals same system. It provides features that support important process speed, handle huge knowledge sizes and text mining capabilities.
SAP HANA is AN in-memory knowledge platform that is deployable as an on-premise appliance, or in the cloud. It is a revolutionary platform that’s best fitted to performing time period analytics, and developing and deploying real-time applications. At the core of this real-time knowledge platform is the SAP HANA information that is basically completely different than the other information engine within the market these days .
SAP HANA - platform for a new class of time period analytics and applications
Whenever companies have to go at intervals their knowledge sets to raise complicated and interactive queries, and have to go broad (which means operating with huge knowledge sets that area unit {of completely different|of various} sorts and from different sources) at an equivalent time, SAP HANA is well-suited. Increasingly there is a requirement for this knowledge to be recent and ideally in time period. Add to that the necessity for top speed (very fast latent period and true interactivity), and the have to be compelled to do all this with none pre-fabrication (no data preparation, no pre-aggregates, no-tuning) and you have a singular combination of requirements that solely SAP HANA will address effectively. When this set of wants or any set thence have to be addressed (in any combination), SAP HANA is in its elements.
Analytics and Applications
Real-time analytics – The classes of Analytics that HANA specializes
Operational Reporting (real-time insights from dealing systems such as custom or SAP ERP). This covers Sales Reporting (improving fulfillment rates and fast key sales processes), Financial coverage (immediate insights across revenue, customers, accounts payable, etc.), Shipping Reporting (better enabling complete stock summary analysis), Purchasing coverage (complete time period analysis of complete order history) and Master knowledge coverage (real-time ability to impact productivity and accuracy).
Data repositing (SAP NetWeaver war on HANA) – war customers will run their entire war application on the SAP HANA platform leading to new war performance (queries run 10-100 times faster; knowledge masses 5-10 times faster; calculations run 5-10 times faster), a dramatically simplified IT landscape (leads to greater operational potency and reduced waste), and a business community able to make quicker selections. Moreover, not only is the war investment of those customers preserved however additionally super-charged. Customers can migrate with ease to the SAP HANA information while not impacting the war application layer at all.
Predictive and Text analysis on huge knowledge - To succeed, companies should go on the far side that specialize in delivering the most effective product or service and uncover customer/employee /vendor/partner trends and insights, anticipate behavior and take proactive action. SAP HANA provides the ability to perform predictive and text analysis on massive volumes of knowledge in time period. It does this through the power of its in-database prognostic algorithms and its R integration capability. With its text search/analysis capabilities SAP HANA also provides a strong thanks to leverage unstructured knowledge.
Real-time applications – The classes of Applications that HANA specializes
Core process accelerators – Accelerate business coverage by investment ERP Accelerators, which area unit non-disruptive ways that to take advantage of in-memory technology. These solutions involve an SAP HANA information sitting next to a customer’s SAP ERP system. Transactional data is replicated in time period from ECC into HANA for immediate coverage, and then results can even be fed back to ECC. Solutions include CO-PA Accelerator, Finance and Controlling Accelerator, Customer Segmentation Accelerator, Sales Pipeline Analysis, and more.
Planning, Optimization Apps – SAP HANA excels at applications that need complicated programming with quick results, and SAP is delivering solutions that no other merchant will match. These include Sales & Operational coming up with, BusinessObjects Planning & Consolidation, Cash foretelling, ATP calculation, Margin calculation, Manufacturing programming optimisation (from start-up Optessa), and more.
Sense & response apps – These applications offer time period insights on huge knowledge such as sensible meter knowledge, point-of-sale knowledge, social media data, and more. They involve complexities such as personalized insight and proposals, text search and mining, and predictive analytics. Only SAP HANA is well suited for such applications, including sensible Meter Analytics, SAP Supplier InfoNet, SAP precision marketing, and Geo-spatial Visualization apps (from start-up space-time continuum Insight). Typically these processes tend to be data-intensive and several couldn't be deployed within the past attributable to price and performance constraints.
What is the key sauce?
Other information management systems on the market area unit generally either sensible at transactional workloads, or analytical workloads, but not each. When transactional software package product area unit used for analytical workloads, they require you to separate your workloads into completely different databases (OLAP and OLTP). You have to extract data from your transactional system (ERP), transform that knowledge for coverage, and load it into a reporting information (BW). The reporting information still needs important effort in making and maintaining calibration structures such as aggregates and indexes to supply even moderate performance.
Due to its hybrid structure for processing transactional workloads and analytical workloads absolutely in-memory, SAP HANA combines the best of both worlds. You don’t need to take the time to load knowledge from your transactional information into your coverage information, or even build traditional calibration structures to alter that coverage. As transactions are happening, you can report against them live. By consolidating two landscapes (OLAP and OLTP) into a single information, SAP HANA provides companies with massively lower TCO in addition to mind-blowing speed.
Broad Portfolio of SAP HANA enabled Solutions – Like “Games” on the “Xbox”
But even additional vital is the new application programming paradigm enabled for “extreme” applications. Since the SAP HANA database resides entirely in-memory all the time, additional complicated calculations, functions and knowledge-intensive operations can happen on the data directly within the information, without requiring long and pricey movements of knowledge between the information and applications. This unbelievable simplification and optimisation of the knowledge layer is that the “killer feature” of SAP HANA as a result of it removes multiple layers of technology and important human effort to urge incredible speed. It also has the profit of reducing the TCO of the whole resolution.
Some other information engines on the market these days would possibly claim to supply one or another profit that SAP HANA brings. However, none of them can deliver on all of them. This is real-time computing, and customers can take advantage of this these days via SAP war on SAP HANA, Accelerators on SAP HANA and native SAP HANA applications.
Why In-Memory Processing?
Necessity is the mother of invention. Please look at the statistics, growth of processing speed versus storage memory...
