Hadoop in Action
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HIGHLIGHT
Hadoop in Action
is an example-rich tutorial that shows developers how to
implement data-intensive distributed computing using Hadoop and the Map-
Reduce framework.
DESCRIPTION
Hadoop is an open source implementation of Googles MapReduce framework
for scalable, distributed data processing. Hadoop in Action is for programmers,
architects, and project managers who have to process large amounts of data
offline.
The book begins with several simple examples that illustrate the basic idea
behind Hadoop. Later chapters explain the core framework components and
demonstrate Hadoop in a variety of data analysis tasks. Throughout the book,
readers will learn best practices and design patterns, and how to write meaningful
programs in a MapReduce framework.
KEY POINTS
Explains distributed computing, MapReduce, and the Hadoop framework
Focuses on most-used features and rapid development solutions
Numerous hands-on examples to illustrate abstract ideas
Concise, developer-centric, In Action style
Multiple case studies demonstrate real-world Hadoop uses
Covers popular Hadoop extensions that ease development and extend
functionality
Product Description
HIGHLIGHT
Hadoop in Action
is an example-rich tutorial that shows developers how to
implement data-intensive distributed computing using Hadoop and the Map-
Reduce framework.
DESCRIPTION
Hadoop is an open source implementation of Googles MapReduce framework
for scalable, distributed data processing. Hadoop in Action is for programmers,
architects, and project managers who have to process large amounts of data
offline.
The book begins with several simple examples that illustrate the basic idea
behind Hadoop. Later chapters explain the core framework components and
demonstrate Hadoop in a variety of data analysis tasks. Throughout the book,
readers will learn best practices and design patterns, and how to write meaningful
programs in a MapReduce framework.
KEY POINTS
Explains distributed computing, MapReduce, and the Hadoop framework
Focuses on most-used features and rapid development solutions
Numerous hands-on examples to illustrate abstract ideas
Concise, developer-centric, In Action style
Multiple case studies demonstrate real-world Hadoop uses
Covers popular Hadoop extensions that ease development and extend
functionality
Hadoop in Action
is an example-rich tutorial that shows developers how to
implement data-intensive distributed computing using Hadoop and the Map-
Reduce framework.
DESCRIPTION
Hadoop is an open source implementation of Googles MapReduce framework
for scalable, distributed data processing. Hadoop in Action is for programmers,
architects, and project managers who have to process large amounts of data
offline.
The book begins with several simple examples that illustrate the basic idea
behind Hadoop. Later chapters explain the core framework components and
demonstrate Hadoop in a variety of data analysis tasks. Throughout the book,
readers will learn best practices and design patterns, and how to write meaningful
programs in a MapReduce framework.
KEY POINTS
Explains distributed computing, MapReduce, and the Hadoop framework
Focuses on most-used features and rapid development solutions
Numerous hands-on examples to illustrate abstract ideas
Concise, developer-centric, In Action style
Multiple case studies demonstrate real-world Hadoop uses
Covers popular Hadoop extensions that ease development and extend
functionality
Product Description
HIGHLIGHT
Hadoop in Action
is an example-rich tutorial that shows developers how to
implement data-intensive distributed computing using Hadoop and the Map-
Reduce framework.
DESCRIPTION
Hadoop is an open source implementation of Googles MapReduce framework
for scalable, distributed data processing. Hadoop in Action is for programmers,
architects, and project managers who have to process large amounts of data
offline.
The book begins with several simple examples that illustrate the basic idea
behind Hadoop. Later chapters explain the core framework components and
demonstrate Hadoop in a variety of data analysis tasks. Throughout the book,
readers will learn best practices and design patterns, and how to write meaningful
programs in a MapReduce framework.
KEY POINTS
Explains distributed computing, MapReduce, and the Hadoop framework
Focuses on most-used features and rapid development solutions
Numerous hands-on examples to illustrate abstract ideas
Concise, developer-centric, In Action style
Multiple case studies demonstrate real-world Hadoop uses
Covers popular Hadoop extensions that ease development and extend
functionality
