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Subject Syllabus

ME-803 (A) - Data Analytics

ME · Semester 8

Course Modules

Learn topic-wise with Hyper AI and revise using mapped PYQs.

Probability DistributionsInferential StatisticsInferential Statistics through hypothesis testsRegression and ANOVARegression ANOVA (Analysis of Variance)
Big Data and its ImportanceFour V's of Big DataDrivers for Big DataIntroduction to Big Data AnalyticsBig Data Analytics applicationsHadoop's Parallel WorldData discoveryOpen source technology for Big Data AnalyticsCloud and Big DataPredictive AnalyticsMobile Business Intelligence and Big DataCrowd Sourcing AnalyticsInter- and Trans-Firewall AnalyticsInformation Management
Integrating disparate data storesMapping data to the programming frameworkConnecting and extracting data from storageTransforming data for processingSubdividing data in preparation for Hadoop Map Reduce
Employing Hadoop Map ReduceCreating the components of Hadoop Map Reduce jobsDistributing data processing across server farmsExecuting Hadoop Map Reduce jobsMonitoring the progress of job flowsThe Building Blocks of Hadoop Map ReduceDistinguishing Hadoop daemonsInvestigating the Hadoop Distributed File SystemSelecting appropriate execution modes: local, pseudo-distributed, fully distributed
Installing and Running PigComparison with DatabasesPig LatinUser-Define FunctionsData Processing OperatorsInstalling and Running HiveHive QLQuerying DataUser-Defined FunctionsOracle Big Data