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:
•How does Hadoop help?
•How Data Model is Different?
•How Computing Model is Different?
Hadoop Distributed File System (HDFS):
•HDFS: Hadoop Distributed File System
•HDFS: Files and Blocks
•Hadoop: A master-slave architecture
•HDFS: Data Placement and Replication
•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
•Hadoop Fault Tolerance
Hadoop and Databases:
•Hadoop and Databases
•Typical Datacenter Architecture
•Adding Hadoop to the Mix
•The Key Benefit
•Flexibility: Complex Data Processing
The Hadoop Implementation:
•Hadoop Data Types
• 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
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