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A BIG DATA FRAMEWORK TO IMPROVE GOVERNMENT SERVICE DELIVERY IN SOUTH AFRICA by KHAYALETHU NUNU 199111243 Thesis Submitted in fulfilment of the requirement for the degree MASTER OF TECHNOLOGY: INFORMATION

How to fill out a big data framework

How to fill out a big data framework

1. Identify your data sources and decide on the data you want to analyze.
2. Choose a big data framework that suits your needs (Ex: Apache Hadoop, Apache Spark).
3. Set up and configure the big data framework on your system.
4. Ingest your data into the big data framework using tools like Apache NiFi or Apache Kafka.
5. Process and analyze your data using the capabilities of the big data framework.
6. Visualize and interpret the results of your analysis to gain insights.
7. Optimize and fine-tune your big data framework for better performance.

Who needs a big data framework?

1. Companies and organizations dealing with large volumes of data.
2. Data scientists and analysts looking to extract insights from massive datasets.
3. Research institutions needing to process and analyze complex data sets.
4. E-commerce platforms handling vast amounts of customer data for personalization and recommendation purposes.

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What is a big data framework?

A big data framework is a structured environment that enables the processing, analysis, and management of large and complex data sets using advanced technologies and methodologies.

Who is required to file a big data framework?

Organizations that handle vast amounts of data, including businesses, government agencies, and research institutions, are often required to file a big data framework to comply with regulatory standards and reporting requirements.

How to fill out a big data framework?

Filling out a big data framework involves collecting requisite data, analyzing it to ensure accuracy, and then inputting the information into the designated format or system as per the regulatory guidelines.

What is the purpose of a big data framework?

The purpose of a big data framework is to provide a systematic approach to managing and analyzing large datasets, ensuring data integrity, compliance, and informed decision-making.

What information must be reported on a big data framework?

Typically, the information reported includes data sources, volume of data handled, data processing methods, compliance measures, and any analyses conducted on the data.