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Cloud & Big Data

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  • IDATE
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This publication has been discontinued on January 31, 2014.

Abstract

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The rise of the data center

This report explores the various technical and economic issues bound up with cloud computing and Big Data - giving readers a deeper understanding of these concepts that are the subject of so much talk today. Among the key points examined is the critical role that data centres play when implementing technical solutions. Readers will also get a detailed profile of the players, both public and private sector, who are shaping the market.

Report Key Questions

  • What are the main technological components of cloud computing and Big Data?
  • Is the data centre key for both? What are the main challenges in setting up a data centre?
  • What are the key developmental issues and critical aspects in the development of Big Data and cloud computing?
  • What role are public actors playing in the development of these two concepts? What regulatory provisos are in play?
  • IaaS, SaaS, PaaS: who are the target customers for these services? Do they create added value to software and infrastructure markets?
  • Big Data: evolution or revolution? What outlook for the coming years?
  • Who are the main cloud computing and Big Data players?

Table of Contents

1. Executive Summary

2. The core concepts

  • 2.1 Cloud computing
  • 2.2 The three types of cloud service
    • 2.2.1 IaaS: Infrastructure as a Service
    • 2.2.2 PaaS: Platform as a Service
    • 2.2.3 SaaS: Software as a Service
    • 2.2.4 Each segment's weight in the whole
  • 2.3 Market history
    • 2.3.1 Centralisation/decentralisation
    • 2.3.2 Emergence of ASPs (Application Services Providers)
    • 2.3.3 Web services
    • 2.3.4 On-demand computing
  • 2.4 Cloud architectures
    • 2.4.1 The private cloud
    • 2.4.2 The public cloud
    • 2.4.3 The hybrid cloud
  • 2.5 Big Data
    • 2.5.1 Structured and unstructured data
    • 2.5.2 Data mining
    • 2.5.3 Usage
    • 2.5.4 Technical requirements
    • 2.5.5 Data processing
    • 2.5.6 Data sources
    • 2.5.7 Data analysis
    • 2.5.8 The cloud computing contribution to Big Data

3. Key technologies

  • 3.1 SOA - Service-oriented architecture
  • 3.2 Broadband
  • 3.3 Virtualisation and multi-tenant solutions
    • 3.3.1 Virtualisation
    • 3.3.2 Multi-tenant architectures
  • 3.4 Fabric architecture
  • 3.5 Big Data technologies
    • 3.5.1 NoSQL
    • 3.5.2 MapReduce
    • 3.5.3 Hadoop
    • 3.5.4 BigTable and Google File System
    • 3.5.5 Cassandra and Dynamo
    • 3.5.6 Business Intelligence
  • 3.6 Data centres
    • 3.6.1 The elements of a data centre
    • 3.6.2 Controlling energy consumption: the data centre container
    • 3.6.3 Cost elements and key figures

4. Key developmental factors and critical aspects

  • 4.1 Key developmental factors
    • 4.1.1 State of the software market and migration to SaaS
    • 4.1.2 Flexibility, agility, interoperability
    • 4.1.3 Transforming CAPEX into OPEX and TCO
    • 4.1.4 Pay-as-you-go billing
    • 4.1.5 In-house expertise
    • 4.1.6 Consumer market developments
    • 4.1.7 Public player involvement
    • 4.1.8 Big Data growth levers
  • 4.2 Critical aspects
    • 4.2.1 Regulatory aspects
    • 4.2.2 Service level agreements and QoS
    • 4.2.3 Vertical integration and standardisation
    • 4.2.4 Big Data rollout hurdles

5. Industry organisation and structure

  • 5.1 Industry structure
  • 5.2 The players
    • 5.2.1 Software publishers
    • 5.2.2 IaaS pure players
    • 5.2.3 Integrators
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