Big data
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Big data
Big data refers to the massive amounts of structured and unstructured data generated by individuals, businesses, and devices. This data is often too large and complex to be processed by traditional data processing tools and requires specialized software and hardware to store, process, and analyze it.
The sources of big data are diverse and include social media, sensors, mobile devices, transactional systems, and more. Big data offers a wealth of opportunities for businesses, governments, and researchers to gain insights and make informed decisions.
One of the key features of big data is its volume, which is growing exponentially. This presents a challenge in terms of storage and processing. To store and process large amounts of data, organizations use distributed file systems and parallel processing frameworks such as Hadoop, Spark, and Flink. These frameworks are designed to handle large data sets across multiple nodes in a cluster, providing fault tolerance and scalability.
Another characteristic of big data is its variety. Data can be structured or unstructured, and it can come in different formats such as text, images, videos, or audio. This requires specialized tools to handle each type of data, such as natural language processing, computer vision, or speech recognition.
Big data also has velocity, which refers to the speed at which data is generated and processed. With the rise of the Internet of Things (IoT), devices are generating data in real-time, requiring organizations to process and analyze data quickly to make timely decisions. Stream processing frameworks such as Apache Kafka and Apache Storm are designed to handle real-time data streams and enable real-time analytics.
Finally, big data has value, which can be unlocked through advanced analytics and machine learning. By analyzing large data sets, organizations can gain insights and make data-driven decisions. Machine learning algorithms can be trained on large data sets to make predictions, detect anomalies, or recommend actions.
Big data offers many opportunities and challenges for organizations. By leveraging big data technologies and techniques, organizations can gain valuable insights and make informed decisions. However, they must also address the challenges of storing, processing, and analyzing large data sets, as well as ensuring data privacy and security.
Big data
RUBRIC
Excellent Quality
95-100%
Introduction 45-41 points
The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.
Literature Support
91-84 points
The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.
Methodology
58-53 points
Content is well-organized with headings for each slide and bulleted lists to group related material as needed. Use of font, color, graphics, effects, etc. to enhance readability and presentation content is excellent. Length requirements of 10 slides/pages or less is met.
Average Score
50-85%
40-38 points
More depth/detail for the background and significance is needed, or the research detail is not clear. No search history information is provided.
83-76 points
Review of relevant theoretical literature is evident, but there is little integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are included. Summary of information presented is included. Conclusion may not contain a biblical integration.
52-49 points
Content is somewhat organized, but no structure is apparent. The use of font, color, graphics, effects, etc. is occasionally detracting to the presentation content. Length requirements may not be met.
Poor Quality
0-45%
37-1 points
The background and/or significance are missing. No search history information is provided.
75-1 points
Review of relevant theoretical literature is evident, but there is no integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are not included in the summary of information presented. Conclusion does not contain a biblical integration.
48-1 points
There is no clear or logical organizational structure. No logical sequence is apparent. The use of font, color, graphics, effects etc. is often detracting to the presentation content. Length requirements may not be met
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