BIG DATA ANALYTICS WITH HADOOP
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Gitam university DATA ANALYSIS WITH PYTHON SOLVED PAPERS AND GUESS
Product Details: Gitam university mba DATA ANALYSIS WITH PYTHON SOLVED PAPERS AND GUESS
Pub. Date: NEW EDITION APPLICABLE FOR Current EXAM
Publisher: MEHTA SOLUTIONS
Edition Description: 2019-20
RATING OF BOOK: EXCELLENT
ABOUT THE BOOK
FROM THE PUBLISHER
If you find yourself getting fed up and frustrated with other Gitam university book solutions now mehta solutions brings top solutions for Gitam university mba DATA ANALYSIS WITH PYTHON SOLVED PAPERS AND GUESS book contains previous year solved papers plus faculty important questions and answers specially for PTU University .questions and answers are specially design specially for Gitam university students .
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- Case studies solved
- New addition fully solved
- last 5 years solved papers with current year plus guess
DATA ANALYSIS WITH PYTHON
UNIT–I: Introduction to Big Data: Concept, Features of big data, big data challenges, Hadoop and its features, Hadoop Ecosystem, Hadoop Components, Hadoop Architecture, Hadoop Cluster, Hadoop Storage: HDFS
UNIT–II: Hadoop Mapreduce: Concept, YARN components, YARN architecture, YARN mapreduce application execution flow, YARN workflow, Anatomy of mapreduce program, distributed cache, MRunit, Reduce Join,
Custom input format, sequence input format
UNIT–III: Introduction to Apache PIG: PIG Components & Execution, PIG data types, Data models in PIG, Programming in PIG
UNIT–IV: APACHE HIVE: Introduction, Architecture and components, data types and data models, HIVE partitioning and bucketing, HIVE tables, HIVE QL: joining tables, dynamic partitioning
UNIT–V: APACHE HBase: Introduction, Architecture and components, Run modes, configuration, data models, HIVE data loading techniques, Introduction to Apache Spark
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