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Sl. No.A9.1R5 : BIG DATA ANALYTICS USING HADOOP 03 U 100 MAXIMUM MARKS : 100DURATION : 03 HoursU U . OMR Sheet No. :U . USU . Roll No. :Answer Sheet No. :U U SU Name of Candidate :___;SignatureU

How to fill out big data analytics what

How to fill out big data analytics what

1. Define your business problem or objective that you want to address with big data analytics.
2. Gather data from various sources including structured and unstructured data.
3. Clean and prepare the data for analysis by removing any inconsistencies or errors.
4. Choose the appropriate analytics tools and techniques based on your business problem and data.
5. Perform exploratory data analysis to uncover patterns and insights in the data.
6. Develop and train machine learning models to make predictions or classifications.
7. Test and validate the models using historical data or a subset of the data.
8. Deploy the models in a production environment and monitor their performance over time.

Who needs big data analytics what?

1. Businesses looking to gain insights from their large volumes of data
2. Companies in industries such as finance, healthcare, marketing, and e-commerce
3. Research institutions and academics studying complex phenomena
4. Government agencies seeking to analyze vast amounts of data for policy making

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What is big data analytics?

Big data analytics refers to the process of examining large and complex datasets to uncover hidden patterns, correlations, and insights that can aid in decision-making.

Who is required to file big data analytics?

Individuals and organizations that handle large volumes of data or are governed by regulations requiring data analysis reporting may be required to file big data analytics.

How to fill out big data analytics?

To fill out big data analytics, one must gather the relevant data, process and analyze it using appropriate tools, and then report the findings in a structured format as required by governing bodies or organizations.

What is the purpose of big data analytics?

The purpose of big data analytics is to leverage data to improve business decisions, optimize operations, enhance customer experiences, and provide competitive advantages.

What information must be reported on big data analytics?

Information that must be reported typically includes data sources, methodologies used for analysis, key findings, and actionable insights derived from the analysis.