#sap data replication

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SAP HANA Database Replication – An Overview

SAP is one of the top companies in the world, specializing in software development and the management of developing solutions and business processes that help robust data processing and flow of information. System replication is when SAP HANA database is copied to another location that might be on-premises or outside that specific business environment. The SAP database can consistently keep in sync with the source database during replication.

Hence, when selecting a target system for SAP data replication, it is necessary to first select a specific replication mode. An SAP replication tool makes it easy for SAP users to integrate and extract their SAP data with other forms of data. This data can then be loaded into their SAP databases, SAP data warehouse, Hadoop data lake, or other data repositories, either on-premises or in the cloud. With the right SAP data replication solution, it is possible to easily and efficiently select, copy and move the SAP data to specific locations whenever needed. Along with change data capture (CDC) technology, real-time data warehousing and data integration can be done without any drop or lag in performance or operational impact.

SAP data replication tools ensure that firms can extract and consolidate data from their SAP applications and components and deliver the data to their preferred platforms. It helps them to increase the value of their SAP data, customize their approach to SAP analytics and respond quickly and with agility to new technologies to keep in line with evolving market conditions and trends.

Implementing SAP data replication is often a challenge. It is because SAP systems comprise thousands of tables with complex relationships as well as proprietary data formats making data inaccessible outside the SAP framework. This structural complexity means that integrating data for analytics is often costly and time-consuming.

Most of the top companies and corporates and the world’s largest organizations run and analyze their operations on SAP systems. This is because new platforms and technologies require faster processing of data, real-time data warehousing, and advanced data analytics. Hence, forward-thinking firms are now looking for ways by which SAP data can be made available to the data lakes, data warehouses, and other analytics platforms, either on-premises or in the cloud.

There are four modes to carry out SAP data replication.

· Synchronous In-Memory Mode where once the log is transmitted, the primary node or the source database waits for a confirmation message from the target node or secondary database.

· Synchronous Mode where the primary node waits and stops the transaction until it receives an acknowledgment from the secondary node.

· Synchronous Full Sync Mode where there is zero-loss of data because the process blocks the transaction on the primary mode till the secondary node completes the replication.

· Asynchronous Mode where the primary mode does not stop its transactions until the secondary node sends confirmation.

The mode used for SAP data replication depends on their specific requirements.

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Optimized Business Tool for Higher Performance and Productivity

There is one common factor ruling businesses and enterprises across the world regardless of the scale, size, or country of origin. It is the will to increase business efficiencies, productivity, and performance and get ahead of the competition. Various strategies and tools are formulated and used, depending on the issues at hand. One of the tools that have created a massive positive impact is the SAP data integration tool. To get a clear picture of how this tool is helping companies become more efficient, it is necessary to understand the prevailing scenario before it was introduced.

In the past, an ETL tool to transform and replicate data had to be installed for loading a flat-file into HANA from the source to the target system. Then, another SLT/SRS was required for real-time functionalities. Hence, several tools and connectors were needed to complete one task, thereby increasing the processing time. This rather cumbersome process has now been sharpened with the SAP data integration tool. The tool acts as a link between source and HANA, reading source type data and transforming it into HANA type data value. Therefore, the requirement of several tools has now been replaced by one. Further, SAP data integration (SDI) replicates and/or batch loads data changes from the source to the SAP HANA tables in real-time. It helps to offer an instant real-time view of the changed and modified conditions both at source or target SAP HANA. Here are some features of SDI that have made it the preferred tool of modern businesses. # Change Data Capture – In a setting where the entire source data has to be replicated to the target every day, a lot of time is devoted to this task, taking the focus away from other core activities. On the other hand, Change Data Capture (CDC) continually tracks modified data and transfers them across the source and target. This ensures that the updated data is available at all times facilitating quick and considered decision-making. # Setup and configuration – Setting up and configuring SAP data integration tool is a very simple process. The primary SAP SDI Agent has to be installed first and the SFDC Adapter deployed over it. The Adapter is the bridge between HANA and the source, is hosted on the S/HANA data provisioning agent and helps to read source data and change the values into HANA data type.  # Dynamically adjusted communication method - The “Maximum Expected Number of Record” parameter is automatically switched between source APIs by the adapter. In the event of the volume of records in source data being equal to or less than the value of the maximum expected records parameter, SOAP API is generally used. If not BULK API is triggered and applied. These cutting edge features make SAP data integration a very powerful tool and businesses can increase performance and productivity through optimized data management.