Big data analysis serves to obtain meaningful results by analyzing large volumes of data. This big data is collected from a wide variety of sources such as social networks, videos, digital images, sensors and sales transaction records. The purpose of analyzing all this data is to reveal patterns and connections that are not normally seen, to provide valuable information about the users who created it. With this understanding, businesses can make business decisions that they can outperform their competitors. Apart from this, it is possible to detect trends, trends, forecasts and attacks with these analyzes.
SODER helps you use the data you have in the right place, at the right time and efficiently by turning the data from IoT technologies into information that makes sense to you using the appropriate software.
Advanced software programs are used for big data analysis, but unstructured data used in big data analysis may not be very suitable for traditional data warehouses. The high processing requirements of big data can also make the traditional data warehouse a bad fit. Bigger data analysis uses newer, larger data analysis environments and technologies, including Hadoop, MapReduce and NoSQL databases. These technologies also include open source software used to process large data sets on clustered systems.
- Data Warehouse
- Data Mining
- Data Analytics
- Data Exploration
- Predictive Analytics
- Perspective Analytics
- Business Performance Management - KPI
- Deep Learning
- Decision Support
- Text Mining
- Visualization
- Real Time Tracking
- Statistical Process Control - OLAP
- Artificial Intelligent
