Data Consumers – The data lake can support a variety of different interfaces for data consumers to access data and expose it to a variety of application types .
• Dashboards – Regularly updated sites with reporting on specific metrics and changes over time .
• E-commerce – Customer facing systems that are transactional in nature .
• Data Science – Individuals looking to develop predictive models , test theories or develop new types of reporting for the organization .
• Business Intelligence ( BI ) – Iterative tools for enabling power users to explore complex data sets and relationships .
• Mobile Apps – Apps designed to be used quickly by users on the go ; response time and accuracy of data is key .
Figures 6 and 7 on the following pages show key technologies provided by AWS and Google for building a data lake . Each provider has unique capabilities that should be weighed when evaluating where to locate your data lake . Key considerations include regional availability , connectivity options , supportability and the need for different vendor and application certifications .
Data Lakes in the Cloud
Both AWS and Google provide platforms that are sufficiently scalable , secure and flexible to build a data lake in the cloud .
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