Big Data and Hadoop
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WAGmob brings you Simple 'n Easy, on-the-go learning ebook for "Big Data and Hadoop".
The ebook provides:
Snack sized chapters for easy learning.
Designed for both students and adults.
This ebook provides a quick summary of essential concepts in Big Data and Hadoop by following snack sized chapters:
Introduction to Big Data:
€ Introduction to Big Data
€ Sources of Big Data
€ Big Data Characteristics
€ Big Data Analytics
€ The Importance of Big Data
Big Data in the Enterprise:
€ Big Data in the Enterprise
€ Data Processing and Analytics: The Old Way
€ Big Data Enterprise Model
€ Building a Big Data Platform
Hadoop and Hadoop Infrastructure:
€ Hadoop
€ Why Hadoop?
€ How does Hadoop help?
€ Hadoop Infrastructure
€ How Data Model is Different?
€ How Computing Model is Different?
€ Hadoop framework
Hadoop Distributed File System (HDFS):
€ HDFS: Hadoop Distributed File System
€ HDFS: Files and Blocks
€ Replication
€ Hadoop: A master-slave architecture
€ HDFS: Data Placement and Replication
MapReduce:
€ MapReduce
€ Typical large €“data problem
€ MapReduce Paradigm - I
€ Word count example
€ MapReduce Paradigm €“ II
€ MapReduce €“ Jobs and tasks
€ MapReduce: A master-slave architecture
€ MapReduce Programming Model
€ MapReduce €“ word count mapper
€ MapReduce €“ word count reducer
€ MapReduce €“ word count main
€ MapReduce €“ running a job
Relationship between MapReduce and HDFS:
€ Relationship between MapReduce and HDFS
€ Clients, Data Nodes, and HDFS Storage
€ MapReduce workloads
€ Hadoop Fault Tolerance
€ Reading/Writing Files
Hadoop and Databases:
€ Hadoop and Databases
€ Typical Datacenter Architecture
€ Adding Hadoop to the Mix
€ The Key Benefit
€ Flexibility: Complex Data Processing
The Hadoop Implementation:
€ Job Execution
€ Hadoop Data Types
€ Job Configurations
€ Input and Output Formats
Scenarios for Using Hadoop and Hadoop Live Use Cases:
€ Scenarios for Using Hadoop
€ Orbitz: Major Online Travel Booking Service
€ Major National Bank
€ Leading North American Retailer
€ Netflix
Glossary.
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