Introduction¶
Data analytics is the science of extracting patterns, trends, and actionable information from large sets of data. Data analytics involves improving your ways of making sense of that data before acting on it; further still, you can slice and dice the data to extract insights that allow you to leverage this data to give the organization a competitive advantage.
Improving your capacity to analyze this data works at multiple stages — from collection processes to organizing and processing the data. Yet, whereas data once required a large team of skilled analysts to be made useful, today there are a number of enterprise level tools for running high speed data analytics on massive amounts of data.
Overview¶
The system we are about to discuss is a complete end to end data analytics system built fully in-house by synergizing various advanced technologies. The system covers a whole event journey of:
- Capturing the user event data
- Persist storage of the data
- Real-Time processing
- Batch processing
- Generating reports
- Analysing trends
