SAP In-Memory Computing and Twitter

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It is firstly necessary and important to consider the meaning of In-Memory in its modern concept and application framework. Indeed, In-Memory computing is the genre of technology that readily facilitates, co-ordinates and oversees processing of enormous quantum of data in main memory that offers speedy results from analysis and transactions. Not only does In-Memory break data bulk and channelized it along required apps, but it also offers processing of real time data, that is readily available as soon as it is created. SAP In-Memory in the realms of Twitter indeed enhances and upgrades utilization and enforcement of In-Memory computing. Besides, there are also reasons to believe that this could indeed underpin and facilitate greater and wider use of In-Memory computing through Twitter platform.

It is now necessary and important to consider this usage on Twitter, another social networking site of the likes of Facebook, Pinterest, LinkedIn, etc. Thus, in order to achieve desired levels of performance, fundamental concepts like maintenance of main memory to accelerate data access, minimizing data movement by leveraging columnar storage concepts and compression, performing computations at database levels, etc., may be used.

Besides, one of the best ways to gain real-time connectivity is to leverage SAP Event Stream Processor in sync with SAP HANA. ESP is designed to capture and assess multiple streams of high-speed and large volume complex events in real time, while loading real time data into SAP HANA.

Yes, SAP analytics could be well integrated into Twitter SNS. This is evident from the following comments “A great way to establish real-time connectivity is to leverage SAP Event Stream Processor in conjunction with SAP HANA.”

Further, Twitter’s streaming APIs could be leveraged from within SAP ESP input adapter, and this could also be pressed into service to load HANA in-memory database in high volume and reduced dormancy. Further, ESP could be developed in JAVA, or C++, also in plethora of Third Party Libraries available to ease interactions with Twitter’s streaming APIs.

Through the use of social media platforms, it is possible for providers and users to control multi-core architecture of single, dual and multi-processor servers, or even scale out into distributed landscape and to use this social platform to grow beyond single servers into multi capacity servers capable of multitasking and other state-of-the-science technology implementation. It is also possible to gain the best mileage and usage of modern technology in the realms of optimum memory functions and uses.

Next, it is necessary to consider that SAP Technologies initially operationalised this through product form with the induction and introduction of SAP Search and Classification, also known as Text Retrieval and Information Extraction (TREX), which essentially is just Search Engine that optimizes both structured and unstructured data. It provides SAP apps with numerous services for searching and classifying large quantum of documents, unstructured data and also structured data, in terms of distributed installation, which could be modified and realigned to match major requirements. A minimal system could consist of single host that provides all needed functions, and this could be updated and upgraded to facilitate additional capacity usages.

Text Retrieval and Information Extraction (TREX) stores its data in indexes and not really the way conventional databases do, but just as flat files in file systems. For distributed system, the file must be clustered, or shared which presents all files to all nodes of distributed systems.

In the realms of Twitter, TREX indexes are loaded to working memories and implemented compactly using data compression methods, and also these data and information could be summed up in linear time to facilitate enormous volumes of data to be processed entirely from memory. In order to optimize performance of Search-and-Index functions provided by TREX Engines, SAP’s endeavours were in terms of focusing on Intel Platform to optimally use CPU Architecture.

Indeed, coming to think of it, this memory computing on Twitter considers well grounded, versatile, useful and highly beneficial enforcement and implementation of Twitter social media Platform for best memory computing results. In coming days, with greater innovativeness, enforcement of latest state-of–the-science technology and visibility advantages, this memory computing on Twitter does hold enormous potential, promise and popularity.


Author Bio:
James Lopez specializes in content writing and works for choosing a custom essay writing service, a writing service with a passion of helping out the students with their writing excellence and ability. In his spare time he is also contributes as writer for different blogs

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