Computer ScienceScience & MathematicsEconomics & FinanceBusiness & ManagementPolitics & GovernmentHistoryPhilosophy

Migrating Big Data Analytics into the Cloud

by Mike Barlow

Migrating Big Data Analytics into the Cloud

Subscribe to new books via telegram channel

DescriptionTable of ContentsDetailsReport an issue

Book Description

Just how strong is the movement of big data analytics to the cloud? This report, based on a survey by O'Reilly data analyst John King, reveals that the desire among corporations to adopt big data-as-a-service is gaining momentum-and that many organizations with big data cloud experience are likely to expand their use.

King's recent survey of IT and data professionals in finance, healthcare, technology, and telecom illustrates the ways many of them plan to use big data in the cloud-with predictive analytics leading the charge-and explains why others are still reluctant to join the migration. There are also some surprises, such as the continued popularity of relational databases and the lack of interest in social network analysis.

If your company is looking into big data cloud services, this concise report is well worth your while.

This open book is licensed under a Creative Commons License (CC BY). You can download Migrating Big Data Analytics into the Cloud ebook for free in PDF format (3.0 MB).

Table of Contents

Survey Reveals Perceived Challenges and Benefits of "As-a-Service"
Models for Analytics
Into the Cloud
Current and Planned Use of Analytics
Cloud Applications
As-a-Service Models
Areas Where Additional Help Might be Necessary
Reasons for Reluctance
Unexpected Costs

Book Details

Migrating Big Data Analytics into the Cloud
Computer Science
O'Reilly Media
ISBN13 Digital
ISBN10 Digital
PDF Size
3.0 MB

Related Books

Multimedia Big Data Computing for IoT Applications
This book considers all aspects of managing the complexity of Multimedia Big Data Computing (MMBD) for IoT applications and develops a comprehensive taxonomy. It also discusses a process model that addresses a number of research challenges associated with MMBD, such as scalability, accessibility, reliability, heterogeneity, and Quality of Service (...
Heterogeneity, High Performance Computing, Self-Organization and the Cloud
This book addresses the most recent developments in cloud computing such as HPC in the Cloud, heterogeneous cloud, self-organising and self-management, and discusses the business implications of cloud computing adoption. Establishing the need for a new architecture for cloud computing, it discusses a novel cloud management and delivery architecture...
Big Data in Context
This book sheds new light on a selection of big data scenarios from an interdisciplinary perspective. It features legal, sociological and economic approaches to fundamental big data topics such as privacy, data quality and the ECJ's Safe Harbor decision on the one hand, and practical applications such as smart cars, wearables and web tracking ...
Entertainment Science
The entertainment industry has long been dominated by legendary screenwriter William Goldman’s “Nobody-Knows-Anything” mantra, which argues that success is the result of managerial intuition and instinct. This book builds the case that combining such intuition with data analytics and rigorous scholarly knowledge provides a source of sustainab...
Disrupting Finance
This open access Pivot demonstrates how a variety of technologies act as innovation catalysts within the banking and financial services sector. Traditional banks and financial services are under increasing competition from global IT companies such as Google, Apple, Amazon and PayPal whilst facing pressure from investors to reduce costs, increase ag...
New Horizons for a Data-Driven Economy
In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be...