Define Business Problem step in Data Analytics process step

The process of analytics begins with defining business problem. During this step, questions are asked from business stakeholders and business problems of stakeholders are understood and documented.
To solve business problems, we analyze data and find answers. 

Data Acquisition step in Data Analytics process step

Data Acquisition step is used to collect data from various sources for analysis to answer the question raised in Business Definition Step.

Data Acquisition step involves

• File Handling
• Web Scraping
• SQL Data 

Some examples of Data Acquisition steps are :

• Twitter, Facebook, LinkedIn, and other social media and information sites provide streaming APIs. 
• Server logs can be extracted from enterprise system servers to analyze and optimize application performance. 

Data Analytics consists of below processes 

1. Business Problem
2. Data Acquistion
3. Data Wrangling
4. Explanatory Data Analysis
5. Data exploration
6. Conclusion or Prediction
7. Communication

Data Scientist does :

1. Define the problem statement/question 
2. Define the ideal data set 
3. Determine what data you can access Obtain the data 
4. Clean the data 
5. Exploratory data analysis 
6. Statistical prediction/modeling Interpret results 
7. Challenge results 
8. Synthesize/write up results 
9. Create reproducible code 
10. Distribute results to other people 

Big Data Processing Frameworks – Python

1. Spark
2. Hadoop – MapReduce
3. Blink

Enterprise big data platform provider for Python

• Cloudera

• MapReduce

• Hortonworks

Benefits of Python

• Easy to learn
• Open Source
• Big Open Source Community
• Support for multiple platforms
• Integrates with enterprise apps and systems
• Huge collection of libraries and modules
• Good product support