More and more companies are investing in Big Data technologies in order to gain business-relevant insight from a wealth of data. The combination of the in-memory platform in SAP HANA and Hadoop unites high speed processing with a potent storage solution.
Data from sensors, networks and machinery, as well as unstructured information from photos, text and social networks, can be interpreted in real time, and cost-effectively evaluated.
Database to Fight Plant Disease
It is critical for farmers to recognize plant diseases early and choose the proper treatment in order to prevent the further spread of the disease, resulting in crop failure. Farmers receive immediate help through smartphone or tablet thanks to a special app developed by an international agricultural company with the use of Hadoop and SAP HANA.
Here is how it works: a farmer sends a photo of a diseased plant which is immediately compared with reference photos of plant diseases in the database. In addition, current regional weather data is also analyzed.
In the background SAP HANA compiles a real time recommendation that farmers receive immediately via the app on their mobile devices. These recommendations include identification of the plant disease as well as a procedure for handling it given the current weather conditions. All the necessary data such as product specification sheets, videos or photo reference data, are stored in a Hadoop cluster.
Big Data Helps to Keep Your House Powered Up
Since the ‘energy revolution’, the topic of a Smart Grid has been at the tip of everyone’s tongue. Bringing power generation and demand into optimal balance is now feasible.
Huge volumes of data pose a challenge for electric utilities and grid operators. When demand values are recorded at 15-minute intervals, 36,000 measurements accrue per year. Calculating this annually for almost 40 million private households in Germany would produce approximately 1.44 billion data sets. With the help of SAP HANA and Hadoop, this data volume can generate some valuable insight.
Now, this mass of data can be skillfully processed and linked to forecast values, such as weather predictions. This provides an option to regulate demand through better distribution and prediction of the load on the grid. Power suppliers have more control over the energy supply and can react more quickly to unforeseen events that influence demand.
Handling Big Data Is Now Easier
The benefits of combining SAP HANA and Hadoop are clear. Moving mass data from storage to Hadoop clusters optimally tied to SAP HANA over many interfaces saves enormous costs in operating SAP HANA. End users do not require any special know-how for Hadoop because SAP HANA provides a “Single Point of Entry”.
Another major advantage of Hadoop is its data streaming, mass data can be analyzed directly by statistical models directly in Hadoop. The essence of these analyses are then subsequently passed on to SAP HANA.
This approach makes it possible to evaluate large volumes of data from various structures with high performance and in real time. The combination of SAP HANA and Hadoop is also suitable for small businesses with minimal IT resources. With Predictive Analytics, SAP offers standard analyses that make it possible for businesses with minimal statistical know-how to create appropriate models.