Big Data : Principles and Best Practices of Scalable real-time data systems

Nathan Marz, James Warren

Informasi Dasar

95 kali
ITTS.0521000024
004
Buku - Circulation (Dapat Dipinjam)
Tel-U Gedung Manterawu Lantai 5 : Rak 1
Tel-U Purwokerto : Rak 1

Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive.

Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases.

This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful.

004 MAR b

Subjek

BIG DATA
 

Katalog

Big Data : Principles and Best Practices of Scalable real-time data systems
9781617290343
308p
 

Sirkulasi

Rp. 0
Rp. 1.000
Ya

Pengarang

Nathan Marz, James Warren
Perorangan
 
 

Penerbit

Manning Publications
New York
2015

Koleksi

Kompetensi

 

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