Big Data and Hadoop
***** WAGmob: Over One million paying customer *****
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.
About WAGmob ebooks:
1) A companion ebook for on-the-go, bite-sized learning.
2) Offers value for money (a lifetime of free updates).
3) Over One million paying customers from 175+ countries.
WAGmob Vision : Simple 'n easy ebooks for a lifetime of on-the-go learning.
Visit us : www.wagmob.com
Please write to us at Team (at)wagmob.com
We would love to improve this ebook
1116226244
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.
About WAGmob ebooks:
1) A companion ebook for on-the-go, bite-sized learning.
2) Offers value for money (a lifetime of free updates).
3) Over One million paying customers from 175+ countries.
WAGmob Vision : Simple 'n easy ebooks for a lifetime of on-the-go learning.
Visit us : www.wagmob.com
Please write to us at Team (at)wagmob.com
We would love to improve this ebook
Big Data and Hadoop
***** WAGmob: Over One million paying customer *****
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.
About WAGmob ebooks:
1) A companion ebook for on-the-go, bite-sized learning.
2) Offers value for money (a lifetime of free updates).
3) Over One million paying customers from 175+ countries.
WAGmob Vision : Simple 'n easy ebooks for a lifetime of on-the-go learning.
Visit us : www.wagmob.com
Please write to us at Team (at)wagmob.com
We would love to improve this ebook
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.
About WAGmob ebooks:
1) A companion ebook for on-the-go, bite-sized learning.
2) Offers value for money (a lifetime of free updates).
3) Over One million paying customers from 175+ countries.
WAGmob Vision : Simple 'n easy ebooks for a lifetime of on-the-go learning.
Visit us : www.wagmob.com
Please write to us at Team (at)wagmob.com
We would love to improve this ebook
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Big Data and Hadoop

Big Data and Hadoop
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Product Details
BN ID: | 2940148471479 |
---|---|
Publisher: | WAGmob |
Publication date: | 09/19/2013 |
Sold by: | Barnes & Noble |
Format: | eBook |
File size: | 2 MB |
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