Data analysis is defined as a cycle of cleaning, changing, and modeling data to find valuable data for business dynamic. The reason for Data Analysis is to separate valuable data from data and taking the choice dependent on the data analysis. Data analysis is at whatever point we take any choice in our everyday life is by considering what happened last time or what will occur by picking that specific choice. This is only investigating our past or future and settling on choices dependent on it. For that, we assemble recollections of our past or dreams of our future. So that is only data analysis. Presently same thing analysis accomplishes for business designs, is called Data Analysis.
Approach of Our Data Analysis and Decision Making
Data Processing
- Modeling
- Data Mining
- Data File Sources
- File Exporting
Security
- Single Sign-On
- Data Encryption
Predictive Applications
- Identity Management
- Fraud Analytics
Reporting
- Real-Time Reporting
- Dashboards
- Location-Based Insights
Analytics
- Risk Analytics
- Decision Management
- Text Analytics
- Content Analytics
- Statistical Analysis
- Predictive Analytics
- Social Media Analytics
Technologies Support
Distributed File System: Allows data to be put away in an available format across an arrangement of connected storage devices.
MapReduce: Reads data from this record framework and organizations it into representations clients can interpret.
Hadoop Common: The collection of Java tools required for the client’s PCs to read this information put away under the file system.
YARN: manages the resources of the systems storing data and running analysis.