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Trở về
  • Complete Guide to Open Source Big Data Stack : 1st ed.
  • Tác giả: Michael Frampton
  • Nhà xuất bản: Apress - Berkeley
  • Năm xuất bản: 2018
  • Số trang:363 p.
  • Kích thước:24 cm.
  • Số đăng ký cá biệt:48618
  • ISBN:9781484221488
  • Mã Dewey:005.7
  • Đơn giá:0
  • Vị trí lưu trữ:7/25 Quang Trung
  • Ngôn ngữ:English
  • Loại tài liệu:Giáo trình
  • Đang rỗi/ Tổng sách:1/1
  • Từ khóa:Big data, Database management, Data structures
  • Chủ đề: Database Management & Data structures (Computer science) & Big data
  • Chuyên ngành: Khoa Công Nghệ Thông Tin
  • Tóm tắt: This book describes the creation of an actual generic open source big data stack, which is an integrated stack of big data components--each of which serves a specific function like storage, resource management, or queueing. Each component has a big data heritage and community to support it. It can support big data in that it is able to scale, and it is a distributed and robust system. In the Complete Guide to Open Source Big Data Stack, New Zealand author, Mike Frampton, begins by creating a private cloud and then by installing and examining Apache Brooklyn. After that he will use each chapter to introduce one piece of the big data stack-sharing how to source the software and then how to install it. He will then show how it works by simple example. Step by step and chapter by chapter, Frampton will create a real big data stack. The goal of this book is to show how a big data stack might be created and what components might be used. It attempts to do this with currently available Apache full and incubating systems. The aim is to introduce these components by example and show how they might work together. The book concentrates on Apache-based systems and shares detailed examples of cloud storage, release management, resources management, processing, queuing, frameworks, data visualization, and more.
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