What is the difference between Datascience, Bigdata and data analytics?

[pallavichauhan2525]

Data Science, Big Data, and Data Analytics are interconnected but distinct fields:

• Data Science involves extracting insights from data using techniques from statistics, machine learning, and programming. It focuses on building models and making predictions.
• Big Data refers to large, complex datasets that are difficult to manage with traditional tools. It emphasizes the storage, processing, and analysis of vast amounts of data, often using technologies like Hadoop and Spark.
• Data Analytics is the process of analyzing data to uncover trends, patterns, and actionable insights. It's more focused on answering specific business questions through statistical analysis.

These fields overlap but have different scopes and objectives.

 

[shivanshi770]

Data Science , Big Data , and Data Analytics are distinct but related fields within the data world:

1. Data Science is a broad field that combines programming, statistics, and machine learning to extract insights from data. It involves cleaning, analyzing, and modeling data to solve complex problems
   
   
2. Big Data refers to massive datasets that are too large for traditional tools to process. It focuses on handling large volumes, varieties, and velocities of data using specialized technologies like Hadoop and Spark
   
   
3. Data Analytics is the process of analyzing data to answer specific business questions. It's more focused and often involves statistical analysis and reporting to drive decision-making.

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