EX-803 (D) Data Analytics Notes
5 notes for Data Analytics, unit by unit.
Notes for EX-803 (D)
- Unit 1 · Short notes Descriptive Statistics Probability distributions · Inferential statistics · Hypothesis testing · Regression analysis · Analysis of variance (ANOVA)
- Unit 2 · Short notes Introduction to Big Data Big data and its importance · Four V’s of big data (volume, velocity, variety, veracity) · Drivers for big data adoption · Overview of big data analytics · Big data analytics applications · Hadoop’s parallel computing model
- Unit 3 · Short notes Processing Big Data Integration of heterogeneous data stores · Mapping data to programming frameworks · Data extraction from storage systems · Data transformation for processing pipelines · Data partitioning for Hadoop MapReduce
- Unit 4 · Short notes Hadoop MapReduce Designing Hadoop MapReduce jobs · Distributed data processing across server farms · Monitoring and managing MapReduce job flows · Components and daemons of the Hadoop ecosystem · Hadoop Distributed File System (HDFS) architecture · Execution modes: local, pseudo‑distributed, fully distributed
- Unit 5 · Short notes Big Data Tools and Techniques Installation and execution of Apache Pig · Pig Latin scripting language · User‑Defined Functions (UDFs) in Pig · Data processing operators in Pig · Installation and execution of Apache Hive · HiveQL query language
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