Understanding Analytics

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What has led to the exponential growth of big data in recent years?

Information technology, industrial, healthcare, Internet of Things, and other sectors

What is the definition of big data?

Data with large volume, velocity, or variety that is challenging to store, manage, and analyze using traditional databases and tools

What distinguishes big data from traditional data?

Volume, velocity, and variety

What are the challenges posed by big data?

Difficulty in storing, managing, processing, and analyzing using traditional databases and tools

Which term refers to predicting what is likely to happen based on data analysis?

Predictive Analytics

What is the primary reason why traditional databases and data processing tools struggle with big data?

Inability to handle the volume, velocity, and variety of the data

What sectors have contributed to the exponential growth of both structured and unstructured data in recent years?

Information technology, industrial, healthcare, Internet of Things

What is the key focus of predictive analytics?

Forecasting future events based on historical data

Which characteristic defines big data according to the provided text?

Difficulty in storing, managing, processing, and analyzing due to its size and complexity

What distinguishes prescriptive analytics from predictive analytics?

It provides recommendations for actions to optimize outcomes

Learn about the broad concept of analytics, including the processes, technologies, and algorithms used to derive valuable insights from data. Discover how raw data is transformed into meaningful information through contextualization and processing.

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