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Differentiating between Data Science, Big Data and Data Analytics
- Predicts the future based on past patterns.
- Explores and examines data from multiple disconnected sources.
- Develop new analytical methods and machine learning models.
- Leverage data for business.
- Deliver actionable insights from the data.
- Optimize websites.
- They analyze system bottlenecks and find solutions.
- Build large scale data processing systems.
- Architect highly scalable distributed system.
- Articulate pros and cons of various technologies and platforms.
- Analyze business problems and technical environments.
- They acquire process and summarize data.
- Store the data for insights.
- Design and create data reports using various reporting tools.
- Manage the quality assurance of data scraping.
- Query database and package data for insights.