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Syllabus
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Syllabus
Lecture Notes
Unit 1
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big data
Big Data
Analytics
IoT Things
Unit 2
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Bigdata Stack
Web visualization
Big data Storage
Analytics
Unit 3
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hadoop
Distributed Consenseus System
hadoop
Map reduce
unit 4
0/3
NO sql
Applications
6 vs
unit 5
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Data Ingestion ALL topics
puzzels
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puzzles 1
puzzles
puzzles 3
question Bank
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question Bank
Reference Link
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Big Data Concepts
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Hadoop, MapReduce, NoSQL, clustering, and analytics tools.
00:00
ata preparation, machine learning, regression, classification, and Big Data analysis.
00:00
Tutorial
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descriptive, predictive, and prescriptive analytic
00:00
Includes Hadoop, Spark, MapReduce, NoSQL databases, Kafka, and Big Data analytics frameworks.
00:00
Data Analytics and Machine Learning
00:00
Assignment
Fundamentals of DataAnalytics
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2
3
21UAB385: FUNDAMENTALS OF DATA ANALYTICS
Exercise Files
Riddles_and_Brain_Teasers.docx
Size: 36.05 KB
Math_Puzzles.docx
Size: 35.96 KB
Word_Search_Puzzles.docx
Size: 36.03 KB
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