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.

To learn more or find the right course for you, Visit Uncodemy for comprehensive training options in these fields.

 

[archijain931]

Data science, big data, and data analytics are related but distinct concepts. Data science is the overall field that combines mathematics, programming, and domain knowledge to extract insights from data. Big data refers to extremely large datasets that traditional tools can’t manage, often requiring specialized technologies like Hadoop. Data analytics focuses on examining data to identify trends and patterns, helping businesses make informed decisions. In essence, data science encompasses the entire process, big data deals with the challenges of large volumes of data, and data analytics is specifically about analyzing that data to draw meaningful conclusions.