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Questions and Answers
What are some reasons for the growth of Big Data?
What are some reasons for the growth of Big Data?
- Increased availability of data (correct)
- Reduced storage capacity
- Limited sources of data
- Decreased processing power
What are some Big Data stores?
What are some Big Data stores?
- Only document and column-family data models
- Only HDFS and Hbase
- Only key value and graph data models
- All of the above (correct)
What makes Big Data different from other types of data?
What makes Big Data different from other types of data?
- It is manually generated by humans
- It is designed to be user-friendly
- It may not have much value (correct)
- It is limited to a few sources
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Study Notes
- Storing and processing Big Data involves analyzing data characteristics, eliminating redundancies, and using NoSQL.
- Big Data stores include key value, graph, document, and column-family data models, as well as HDFS, Hbase, and Hive.
- Processing Big Data involves integrating disparate data stores, mapping data to programming frameworks, and employing Hadoop MapReduce.
- Reasons for the growth of Big Data include increased storage capacity, processing power, and availability of data.
- Big Data is different because it is automatically generated by machines, typically a new source of data, not designed to be user-friendly, and may not have much value.
- Big Data sources include users, applications, systems, and sensors.
- 2.5 quintillion bytes of data are created every day, with 90% of the world's data created in the last two years.
- Real-time applications such as Facebook and Twitter generate massive amounts of data daily.
- IBM claims that 90% of today's stored data was generated in the last two years.
- It is important to focus on the important parts of Big Data sources.
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