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Schema mapping is accomplished when the physical schema within the TARGET SYSTEM is not identical to the physical schema in the source system. Assuming we are transferring components from DEV (DEVELOPMENT System) to PROD (Production System). The tables in Development System live in DEV_SCHEMA and the EXACT tables reside in the PROD system in the PROD_SCHEMA schema. If an attribute view is moved from DEV to PROD, it will not function as the schema name is described in the definition of attribute view. For the promoted objects to function in PROD, schema mapping ought to be set up in the target system. In this situation, the schema mapping to be designed is:

• Authoring Schema
• Physical Schema
• DEV_SCHEMA
• PROD_SCHEMA

The PLATFORM is best suited for SAP and non-SAP applications- what is feasible actually RELIES on the license selected. The SAP HANA Runtime Edition is developed for only SAP applications. With the help of these applications, work can be EXECUTED at the application level. This is not the same while selecting the SAP HANA Full-Use License: This enables organizations with all of the functionality of the platform. Work can also be executed at the database level.

SAP HANA is appropriate for third-party applications. HANA backs different STANDARDS, like the commonly used programming language SQL. Thus, deeper programming knowledge in ABAP is not needed. Without ABAP, tables can also be designed, supported, and readout. Lastly, SAP HANA also backs SAP UI5, which is a framework for designing individual apps suited for businesses having user-friendly interfaces like, based on Fiori.

So, table A is a text table of table B given the key of A consists of the key of B and an EXTRA language key field (field of data type LANG). Table A may, thus, include explanatory text in different languages for every key entry of B.

• Objective: Text Join is utilized to FETCH the depiction based on the consumer's SESSION language. Once we enforce the text join in SAP HANA, it finds out the consumer's language automatically and provides a definition in that language.

The SAP HANA database is CREATED in C++ and operates on SUSE Linux Enterprise Server. SAP HANA database comprises NUMEROUS servers and the most significant feature is the Index Server. SAP HANA database includes STATISTICS Server, Name Server, Index Server, XS Engine, and Preprocessor Server.

• Business Warehouse Accelerator or BWA: The in-memory accelerator for Business Warehouse is BWA. The primary GOAL of BWA is to enhance the query performance of SAP Net Weaver BW. BWA is solely DESIGNED to speed-up BW queries, it also decreases the time of data acquisition by enduring the copies of the info cube.
• SAP HANA: It is an in-memory database. In this platform high-performance, analytic reports and applications thrive. ANOTHER important thing is that data can be loaded in SAP HANA from SAP and non-SAP SOURCE System via DXC, SLT, Sybase, and BODS. This can be viewed with the help of SAP BO/BI, Crystal Reports, or Excel.
  Presently, SAP HANA is operating as an in-memory database for SAP BW. And now SAP HANA is capable of improving the overall execution of SAP Net weaver BW.

A familiar term to all, SAP S/4HANA is an application developed to operate on the SAP HANA in-memory database platform. It was released in 2015, SAP S/4HANA is SAP’s most recent ERP (enterprise resource planning) and business intelligence offering, it uses technologies like MACHINE learning, Artificial Intelligence, and cutting-edge analytics to simplify business processes. 

From enhancing production planning in manufacturing to streamlining accounting processes in finance, SAP S/4HANA can change organizations’ business processes via smart automation. It can keep track and handle business resources, including products, and handle business commitments, like payrolls and purchase orders. 

For example, in the case of retailers, it can deliver real-time stock availability to consumers, assist with more practical and efficient supply-chain management, and utilize predictive analytics to recognize and control delivery delays. SAP S/4HANA is the 4th version of SAP Business Suite and is developed to be more user-friendly than the previous versions. It can also EASILY RESOLVE more complicated problems and handle much more DATA. Though SAP S/4HANA is CLOUD-native, it is not restricted to operating on the cloud. It has versatile ways of deployment, like via public, private, or hybrid cloud and on-premise.

There are a few essential SAP HANA terms you should also be acquainted with in addition to the details mentioned above. Let us take a look at those:

• Apache Hadoop: An open-source, external, software LIBRARY employed for accumulating and processing big data to expand data storage and decrease processing times. It is often used in tangent with SAP HANA.
• SAP BW/4HANA: This is a data warehousing solution, which relies on SAP S/4HANA. The contemporary counterpart of SAP Business Warehouse (SAP BW).
• SAP HANA Application Associate Exam: An exam that lets anyone who wants to display knowledge of SAP HANA have the possibility to demonstrate their expertise and attain SAP certification.
• SAP HANA Cloud Services: An edition of SAP HANA made to operate in the cloud. Revealed at SAPPHIRE in 2019, it is presently under development.
• SAP HANA cockpit: The chief system administration instrument for SAP HANA 2.0.
• SAP HANA Data Management Suite: It is a data management, orchestration, and governance solution comprising SAP Data Hub and SAP HANA.
• SAP HANA Data Warehousing Foundation: A TOOL utilized for constructing an enterprise data warehouse for SAP HANA with the help of SAP SQL programming language.
• SAP HANA, express edition: Designed to be operated with a smaller memory footprint and in the cloud, it is a specialized edition of the SAP HANA database.
• SAP HANA Predictive ANALYSIS Library (PAL): A compilation of processes in the Application Function Library utilized to incorporate predictive modelling.
• SAP HANA Studio: This is ANOTHER tool, which is used to interact with an SAP HANA system and handle security. As of SAP HANA 2.0, SAP HANA Studio has been DEPRECATED.

Now that you have checked the advantages of SAP HANA, you might be more confident to execute the migration. Nonetheless, before choosing to MAKE the transition, you also have to be mindful of the shortcomings you’ll encounter during the process. Here are some of the disadvantages you should be cautious about while shifting to SAP HANA:

• Planning: PAIN Points: Many companies fail to recognize the actual problems of their existing database infrastructure. Therefore, they miss the scope of the project. This results in wasted endeavours and resources. Without a concrete project goal and precise estimation of project expense, you will not have an accurate roadmap to digital transformation, thus it can negatively affect your Return on Investment (ROI).
• TECHNICAL Issue: Code Conversion: Other shortcomings emerge from the technical ASPECT of the migration. If your system is still operating with a non-Unicode LANGUAGE, then it can cause a major challenge to migrate to SAP HANA. SAP HANA only backs the Unicode system, so most of the new SAP NetWeaver technology and SAP applications will be available only in Unicode. Thus, the requirement for Unicode system conversion has to be executed mindfully before moving to SAP HANA. Many companies are not aware of this knowledge of conversion, as a result, leads to system failures and waste.
• Execution: Downtime: Like in any other migration project, it all begins with an initial migration in the sandbox for the purpose of testing. Post which, the migration moves to Development and Quality before eventually advancing into Production. The primary problem when shifting to Production is the downtime as the consumers cannot access the system during this process. There might be a greater possibility of system failures during the migration if you do not pre-test the new database system comprehensively. It would lead to more significant downtime or worse, failures would be detected too late, leading to even lengthier outages.

It is a well-regarded fact that SAP HANA is more than just a database USED for storing and serving data. 

Here are SIX of the top advantages of operating working SAP HANA:

• Easily Handle Big Data: With SAP HANA, you can handle big chunks of data from any SOURCE. Also, SAP HANA’s inbuilt machine learning and cutting-edge analytic abilities permit you to include unstructured data, such as predictive, TEXT, spatial, event streams, and time series, enabling your business to arrive at better decisions.
• Gain Real-Time Analytics: The in-memory technology of HANA DRAMATICALLY decreases the time it takes to derive the most comprehensive reports. With HANA's accelerated business intelligence functionalities, you will be able to process data in near real-time, helping you make business decisions much more decisively.
• Scalability: SAP HANA utilizes dynamic tiering, which indicates that data that’s operated repeatedly stays in memory whereas less-used data shifts to disk when there is less space. Not only is this an incredibly economical way to handle large data volumes, but when you take HANA’s state-of-the-art compression and columnar storage into consideration, it can cause a data footprint decline of anywhere from 3 to 5 times.
• Single Source of Truth: A considerably simple advantage of SAP HANA is that it provides you with the capability to minimize your data silos by combining transactional and analytical data on a single solution. One source of truth allows us to discard errors, reduplication of data, and a lot of additional issues that take time and energy to fix.
• Flexibility and Versatility: One of the most multi-faceted data solutions, you can deploy SAP HANA in a public or private cloud, in numerous clouds, or in a hybrid scenario. It also backs hybrid transactional and analytical processing, along with multiple other types of data.

SAP HANA backs diverse use CASES for real-time analytics. Some examples are:

• Optimizing telecommunications
• Supply CHAIN optimization
• Retail sales optimization
• Fraud detection
• Profitability forecasting
• Energy use optimization

SAP HANA has demonstrated its value in the sector of data management and application development. It retains more than 1000 certified applications that RUN predominantly on SAP HANA. It is regarded as one of the few database systems that you can rely on when networks are performing best. SAP HANA is ALSO certified for the Linux operating system (OS).

Once a BUSINESS has chosen to move to SAP HANA, it can select from one of three deployment options.

• On-Premise: 
  • Users get an easy signature file by buying a key from the SAP Support website in an on-premise implementation.
• Cloud:
  • There are two kinds of cloud IMPLEMENTATIONS known as public or private. Those who are getting their license to the public cloud would take the same steps as those functioning on-premise installations.
  • Amazon Web Services, MICROSOFT Azure, or GOOGLE Cloud Platform would act as a host to the cloud instance of SAP HANA. On the other HAND, a private cloud implementation lets clients license an SAP HANA database on a cloud that is impressive to them. This can be a limited server hosted by a third party, or a server physically hosted by the company renting SAP HANA.
• Two-Tiered (Hybrid):
  • In a two-tiered implementation, companies run on both on-premise and cloud versions of SAP HANA. There are various grounds why this may be desirable, such as a wish to analyze the option of a future full-cloud deployment while currently operating an on-premise deployment.

The price of an SAP HANA license relies on per-gigabyte use. SAP takes into consideration additional aspects, involving the present market price of competitor databases while delivering a quote for SAP HANA. The TOTAL price DEPENDS, however, on each BUSINESS’ needs. A few things to consider when analyzing whether to incorporate SAP HANA or not are execution needs, adaptability, scalability, and whether or not full control over the instance is required or just want to TAKE advantage of in-memory COMPUTING.

SAP HANA features comprise:

• Multi-Model Processing – SAP HANA is competent in preserving and processing numerous types and collections of data in various formats, like graphs, tables, and documents.
• Hybrid Processing – HANA can work both as a transactional and an analytical database. It can process both types of requests on a single data set concurrently.
• App DEVELOPMENT Tools – SAP HANA is PACKED with a combination of application development tools, like Eclipse and WEB IDE. Administrators can streamline their personalized application's architecture by operating with coding languages that best SUIT their requirements and objectives.

Commenced in the year 2006, SAP HANA was developed by SAP co-founder Hasso Plattner during the time he was a computer science professor posted at the Hasso Plattner Institute in Potsdam, Germany. The plan was to design a database that could work with a near-zero response time for the purpose of TRANSACTIONAL and analytical data processing. Plattner desired a system that could respond to any potential business question in real-time. After many years of development at SAP, in October 2010, a prerelease edition of SAP HANA was PRESENTED to chosen clients. The first VERSION of SAP, SAP HANA 1.0, was released on June 18, 2011. 

SAP designed a cloud platform-as-a-service equipped with built-in support for SAP HANA in 2012. Later it renamed its Java-based server SAP NetWeaver Cloud to SAP HANA Cloud Platform (It changed its name in 2017 to SAP Cloud Platform and 2021 to SAP Business Technology Platform again). In 2013, SAP presented SAP HANA XS, a light app server implanted within SAP HANA that permitted application development.

In 2015, SAP declared a successor for the ERP ECC it had created in 1992. The new solution was to be anointed SAP S/4HANA and would possess numerous factors of existing ERP processes under one umbrella. Underpinning the latest solution? SAP HANA.

One of the most favoured analytical products around, SAP HANA is used by many high-end companies like HPE, IBM, and Dell, all these companies own products and services optimized for the software. 

German software giant SAP's flagship product, SAP HANA is an in-memory database platform that scrutinizes data at elevated speeds by processing information saved in RAM, RATHER than acquiring it from the hard disk or SSD. This way it LETS other programmes use extended amounts of data much more quickly. HANA, a proprietary product denoted a 'high-performance analytic appliance' in 2011, it was first launched and HANA 2017 was released six years later. The system can support petabytes of data in-memory while returning results within a second.