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WP_Cloud Analytics - Mapping Requirements to Technology Next Page
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WP_Cloud Analytics - Mapping Requirements to Technology Next Page

 


1 Introduction 		3
2 Why analytics industry is slow in moving to the cloud 		4
3 Factors to consider for Cloud Analytic 		4
4 Decision points for selecting cloud technology, services and provider 		6
4.1 The type of cloud (public, private or hybrid) 		6
4.2 The cloud database management level 		8
4.3 The data model for the cloud database 		10
4.4 The BI / analytics tools 		12
4.5 Data movement /ETL tools 		13
4.6 Additional PaaS services 		14
5 A complete example 		15
5.1 Requirements 		15
5.2 Decision points 		18
5.2.1 Type of cloud 		18
5.2.2 Cloud database management level 		18
5.2.3 Data model of the cloud database 		20
5.2.4 BI / analytics tools 		20
5.2.5 Data movement /ETL tools 		20
5.2.6 Additional PaaS services 		22
6 Product-to-Product comparison 		22
6.1.1 ETL 		22
6.1.2 Machine Learning 		22
6.1.3 Cloud Function 		23
6.1.4 Cloud Data Warehouses 		23
6.1.5 Data Visualization 		23
7 References 		24
8 Appendix 1 – Performance and scalability 		25
Performance 		25
Scalability 		25
9 Appendix 2 – IaaS management in Microsoft Azure 		26
10 Appendix 3 – Main cloud service provider competitors 		27
10.1 Google Cloud Platform 		27
10.1.1 Overview. 		27
10.1.2 GCP Components in detail 		29
10.2 Amazon Web Services 		32
10.2.1 Overview 		32
10.2.2 AWS Components in detail 		34
10.3 Microsoft Azure Cloud 		37
10.3.1 Overview 		37
10.3.2 Azure Components in detail 		38
10.4 IBM Bluemix 		42
10.4.1 Overview 		42
10.4.2 Bluemix components in detail 		43
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