Big Data and Hadoop by WAGmob|書籍線上App不用買

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WAGmob brings you Simple 'n Easy, on-the-go learning app for "Big Data and Hadoop".

The app provides:

1. Snack sized chapters for easy learning.

2. Bite sized flashcards to memorize key concepts.

3. Simple and easy quizzes for self-assessment.

Designed for both students and adults.

This app provides a quick summary of essential concepts in Big Data and Hadoop by following snack sized chapters:

(Each chapter has corresponding flashcards and quizzes)

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 apps:

1) A companion app for on-the-go, bite-sized learning.

2) Over Three million paying customers from 175+ countries.

Why WAGmob apps:

1) Beautifully simple, Amazingly easy, Massive selection of apps.

2) Effective, Engaging and Entertaining apps.

3) An incredible value for money. Lifetime of free updates!

*** WAGmob Vision : simpleNeasy apps for a lifetime of on-the-go learning.***

*** WAGmob Mission : A simpleNeasy WAGmob app in every hand.***

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Please visit us at www.wagmob.com or write to us at

Team@wagmob.com

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We would love to improve our app and app platform.

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