Benefits of SAP Archiving in Hadoop
on 19th September, 2017
Businesses today are consuming a phenomenal amount of data. This constant stream of data flowing in can affect system performance and needs to be managed effectively. Big Data if managed effectively can be used to make strategic business decisions and drive value in the final business offering. Hence, it has become integral for businesses to have a successful Data Archiving strategy in place.
What Data Archiving essentially does is it moves static data out of online systems into low-cost storage options like Hadoop. This eases the load on the system in use and still provides access to archived historical data as and when required by securely storing it away. With archiving, data can be purged to make room for new useful data.
The advantages of archiving your SAP system’s data are many and predominantly as follow:
- Cost savings: By purging static data, the system can be freed which improves efficiency as well as operating costs can be reduced significantly.
- Performance: Data volume can affect the performance of the system. With real-time information, the system can be kept agile as well as seamless access can still be provided to historic data.
- Compliance: Data management is important because more data means more compliance risks. By purging data with archiving, new valuable data can come into the system, which will be more useful in the current scenario.
Hadoop – a viable data archiving platform
Big Data’s open source solution Hadoop is not just a super-sized database. Hadoop’s basic storage structure is a distributed file system called HDFS (Hadoop Distributed File System). Since Hadoop is fundamentally a distributed file storage system, it can cost effectively replace other data archiving and/or data storage solutions. One of the things that set Hadoop apart is its ability to process different types of data.
- Low cost storage: Unlike traditional relational database management systems, Hadoop can easily handle large volumes of data at much lower costs for long term storage. The data is stored online and can be accessed as and when necessary.
- Improved performance: Hadoop is user-friendly and comes with good levels of data protection and recovery capabilities as well as processing speed with MapReduce
- Data clusters: In Hadoop, there is direct access to data clusters and this high availability has its own business edge. Hadoop clusters can work with complex data, are scalable as well as tolerant to failure.
Hadoop makes it easy to handle large data sets in a flexible and scalable manner. Businesses exploding with data can utilize data archiving platforms like Hadoop to securely manage the data load. Hadoop can make more information available, it can analyze more information to support better decision making, and it can make information more valuable by analyzing it in real time. With a CAGR of 59% by 2020, Hadoop offers immense potential as a platform for handling big data deployments.
Implementing a successful data archiving should be a regular best practice for organizations to achieve optimization of both cost and performance. Offering the best of volume, velocity and variety, Hadoop is a comprehensive data management platform. To keep business agile, SAP Data Archiving with Hadoop makes perfect business sense!
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