JNTUH B.Tech 4th year (4-1) Big Data Analytics (Associate Analytics – II) gives you detail information of Big Data Analytics (Associate Analytics – II) (Elective – I) R13 syllabus It will be help full to understand you complete curriculum of the year.
Unit I
Data Management (NOS 2101):Design Data Architecture and manage the data for analysis, understand various sources of Data like Sensors/signal/GPS etc. Data Management, Data Quality (noise, outliers, missing values, duplicate data) and Data Preprocessing. Export all the data onto Cloud ex. AWS/Rackspace etc.
Maintain Healthy, Safe & Secure Working Environment (NOS 9003): Introduction, workplace safety. Report Accidents & Emergencies, Protect health & safety as your work, course conclusion, assessment
Unit II
Big Data Tools (NOS 2101): Introduction to Big Data tools like Hadoop, Spark, Impala etc., Data ETL process, Identify gaps in the data and follow-up for decision making.
Provide Data information in Standard Formats (NOS 9004): Introduction, Knowledge Management. Standardized reporting & comphances, Decision Models, course conclusion. Assessment.
Unit III
Big Data Analytic: Run descriptive to understand the nature of the available data, collate all the data sources to suffice business requirement, Run descriptive statistics for all the variables and observer the data ranges, Outlier detection and elimination.
TEXT BOOK
- Student’s Handbook for Associate Analytics.
REFERENCE BOOKS
- Introduction to Data Mining, Tan, Steinbach and Kumar, Addison Wesley, 2006
- Data Mining Analysis and Concepts, M. Zaki and W. Meira (the authors have kindly made an online version available): hLtp:/Iwww.dataminingbook.info/uploadslbook.pdf
- Mining of Massive Datasets Jure Leskovec Stanford Univ. Anand RajaramanMilliway Labs Jeffrey D. Ullman Stanford Univ.
- (http:llwww.vistrails.org!i ndex.phplCourse:_Big_Data_Analysis)
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