Why You Should Consider Switching to Hadoop

BigData has become a crucial part of businesses and there is no better Big Data tool these days than Hadoop. With its open source framework and scalable performance, it can store, manage, and evaluateany amount of structured, semi structured and non-structured data quickly and cost effectively.

Hadoop can be ideal for a wide variety of data. Still, it may be insufficient in meeting all kind of data requirements of modern organizations. For instance, the tool may not be suitable for transactional data due to its highly complex nature that involves many steps to be evaluated in real time. Given that, managing semi or unstructured data in combination with SAP HANA is advisable toopen up new opportunities of real time analytics as well as save on costs.

In September last year, SAP has also introduced ‘SAP HANA Vora’ to compliment this setup. SAP HANA Vorais an integration tool that correlates high performance In-Memory data platform SAP HANA and the Big Data component of Hadoop. By organizing massive volume of unstructured data into data hierarchies, it can simplify Big Data management to drive contextually-aware decisions.

However, there is still a steep learning curve as to what Hadoop can do for an organization and how it can be deployed.With an understanding of how it can add value to your data center, you can easily find a way to implement Hadoop in your environment.

Distributed Data Processing

Hadoop is not dependent on expensive proprietary hardware for data storage and processing. Rather, it employs distributed data processing to interlink multiple systems across the network. With distributed file system, it allows scalability over standard servers being used as participating nodes in Hadoop to manage the continually growing data within the organization.

Low Cost Data Management

Considering the ever-growing volume of data, Hadoop is not an option, but a necessity for Big Data management. According to an analysis, the cost of Hadoop distribution amounts up to $3,000 per node each year as against HANA node that costs a whopping $750,000 per year.Besides, the storage cost of data in Hadoop is considerably lower than the cost of data storage in Oracle database. Given the massive cost differences, experts recommend using SAP HANA for key data,while employing Hadoop for the remaining data.

Data Analysis

Hadoop allows mass data analysis with its statistical models.The analyses can then be passed on to SAP HANA. This helps organizations evaluate massive data of varied structures with high performance and in real time. For its predictive analytics and models, Hadoop can be ideal for organizations with minimal IT resources and statistical know-how.

Apart from improving data management capabilities, Hadoop can also improve your SAP BW performance. Contact Datavard to upgrade your SAP environment so as to meet the ever-growing data management needs of your dynamic organization.