Building Big Data and Analytics Solutions in the Cloud

Building Big Data and Analytics Solutions in the Cloud
Author :
Publisher : IBM Redbooks
Total Pages : 114
Release :
ISBN-10 : 9780738453996
ISBN-13 : 0738453994
Rating : 4/5 (96 Downloads)

Book Synopsis Building Big Data and Analytics Solutions in the Cloud by : Wei-Dong Zhu

Download or read book Building Big Data and Analytics Solutions in the Cloud written by Wei-Dong Zhu and published by IBM Redbooks. This book was released on 2014-12-08 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data is currently one of the most critical emerging technologies. Organizations around the world are looking to exploit the explosive growth of data to unlock previously hidden insights in the hope of creating new revenue streams, gaining operational efficiencies, and obtaining greater understanding of customer needs. It is important to think of big data and analytics together. Big data is the term used to describe the recent explosion of different types of data from disparate sources. Analytics is about examining data to derive interesting and relevant trends and patterns, which can be used to inform decisions, optimize processes, and even drive new business models. With today's deluge of data comes the problems of processing that data, obtaining the correct skills to manage and analyze that data, and establishing rules to govern the data's use and distribution. The big data technology stack is ever growing and sometimes confusing, even more so when we add the complexities of setting up big data environments with large up-front investments. Cloud computing seems to be a perfect vehicle for hosting big data workloads. However, working on big data in the cloud brings its own challenge of reconciling two contradictory design principles. Cloud computing is based on the concepts of consolidation and resource pooling, but big data systems (such as Hadoop) are built on the shared nothing principle, where each node is independent and self-sufficient. A solution architecture that can allow these mutually exclusive principles to coexist is required to truly exploit the elasticity and ease-of-use of cloud computing for big data environments. This IBM® RedpaperTM publication is aimed at chief architects, line-of-business executives, and CIOs to provide an understanding of the cloud-related challenges they face and give prescriptive guidance for how to realize the benefits of big data solutions quickly and cost-effectively.


Building Big Data and Analytics Solutions in the Cloud Related Books

Building Big Data and Analytics Solutions in the Cloud
Language: en
Pages: 114
Authors: Wei-Dong Zhu
Categories: Computers
Type: BOOK - Published: 2014-12-08 - Publisher: IBM Redbooks

DOWNLOAD EBOOK

Big data is currently one of the most critical emerging technologies. Organizations around the world are looking to exploit the explosive growth of data to unlo
Big Data Analytics with Hadoop 3
Language: en
Pages: 471
Authors: Sridhar Alla
Categories: Computers
Type: BOOK - Published: 2018-05-31 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Explore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3 Key Features Learn Hadoop 3 to build effective big data anal
Software Architecture for Big Data and the Cloud
Language: en
Pages: 472
Authors: Ivan Mistrik
Categories: Computers
Type: BOOK - Published: 2017-06-12 - Publisher: Morgan Kaufmann

DOWNLOAD EBOOK

Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the c
Data Analytics with Google Cloud Platform
Language: en
Pages: 282
Authors: Murari Ramuka
Categories: Computers
Type: BOOK - Published: 2019-12-16 - Publisher: BPB Publications

DOWNLOAD EBOOK

Step-by-step guide to different data movement and processing techniques, using Google Cloud Platform Services Key Featuresa- Learn the basic concept of Cloud Co
Big-Data Analytics for Cloud, IoT and Cognitive Computing
Language: en
Pages: 432
Authors: Kai Hwang
Categories: Computers
Type: BOOK - Published: 2017-03-17 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to