Big Data
What is Big data?
Big data refers to large and complex datasets that are difficult to process using traditional data processing methods. Big data can be both structured and unstructured, and it can come from a variety of sources such as social media, sensors, and machine-to-machine data
Big Data Platform Architecture
Data Analytic Process
01.
Business Understanding
The first step in any data analysis process is to define your objective, what is your need?
02.
Data Collection
Gathering data from various sources such as surveys, databases ... to meet your need.
03.
Data Preparation
After collecting the data, it is important to clean it by removing any irrelevant or duplicate information and fixing any errors.
04.
Data analysis
Once the data has been cleaned, you can start analyzing it using various statistical and machine learning techniques to identify patterns and trends.
05.
Data Visualization
Finally, you need to share your findings with others in a clear and concise manner. This could involve creating visualizations such as graphs or charts to help communicate your results.
Our Case Studies
