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Description
Assignment Details:
For this assignment, you will create a holistic Big Data Architecture using a drawing tool, such as Visio, Draw.io, Lucidchart, Miro, or any other of your choosing. The architecture should consider the following capabilities:
Ingest for streaming, unstructured batch/real-time, semi-structured batch/real-time, and structured batch/real-time.
Data Preparation, Cleansing, Transformation.
Persistent Data Storage across datatypes from step 1.
Streaming technologies to process data semi-real-time.
Utilization of the streaming or persistent storage with Python for Machine Learning and Artificial Intelligence.
Please submit your assignment.
For assistance with your assignment, please use your textbook, all course resources, and any external research and resources you have gathered.
Individual Project Rubric
The Individual Project (IP) Grading Rubric is a scoring tool that represents the performance expectations for the IP. This Individual Project Grading Rubric is divided into components that provide a clear description of what should be included within each component of the IP. It’s the roadmap that can help you in the development of your IP.
Expectation Points Possible Points Earned Comments
Assignment-Specific: Includes persistent data storage to ingest for streaming, unstructured batch/real-time, semi-structured batch/real-time, and structured batch-real-time.
35
Assignment-Specific: Included data preparation, cleansing, and transformation
35
Assignment-Specific: Processes data in semi-real-time.
35
Assignment-Specific: Utilizes streaming or persistent storage with Python for Machine Learning and Artificial Intelligence.
10
Professional Language: Contains accurate grammar, spelling, and punctuation with few or no errors (APA formatting or the style specified in the assignment is required.)
10
Total Points
125
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